Coding Interview Patterns Flashcards: Signals, Invariants & Complexity

Practice coding interview patterns with 210 English flashcards on problem signals, invariants, complexity, edge cases, and choosing between approaches. Language-agnostic DSA review to pair with hands-on coding.

Sobre este baralho

Coding interview patterns become useful when you can explain why an approach fits. These 210 English flashcards practice recognizing problem signals, stating invariants, checking prerequisites, comparing approaches, and diagnosing a broken assumption.

The sequence starts with constraints and complexity, then moves through arrays, strings, hashing, two pointers, sliding windows, prefix sums, binary search, intervals, stacks, linked lists, trees, heaps, tries, graphs, union-find, topological sorting, backtracking, greedy choices, dynamic programming, and bit techniques. Each topic builds from its basic idea toward the conditions that make it work.

Cards map short scenarios to candidate patterns, named patterns to invariants and costs, and failed assumptions to explanations or alternatives. Selected contrast prompts distinguish neighboring ideas such as subarrays and subsequences, BFS and DFS, or greedy choice and dynamic programming. Mechanical reverse cards, problem-number recall, language-specific API memorization, and full solution listings are excluded because they add little to this reasoning-focused review. Answer each prompt before turning the card, then test the idea by coding a fresh example.

This is a language-agnostic companion to practical DSA exercises. It complements the Blind 75 Python solutions deck by teaching reusable reasoning across problems. It was authored independently in English, not translated or paraphrased from another catalog package.

The questions, answers, organization, metadata, and original generated cover are released under CC0 1.0 to the extent applicable rights exist. Algorithm facts are common knowledge; no commercial deck text or third-party media was copied. This is an independent study resource with no affiliation to an employer or interview platform.

Cartões deste baralho

  1. Cartão 1

    Pergunta

    Which input constraints should you clarify before choosing an interview algorithm?

    Resposta

    Input size, value range, ordering, duplicates, allowed mutations, and the exact output. These determine which operations are affordable and which assumptions are valid.

  2. Cartão 2

    Pergunta

    What does a loop invariant describe?

    Resposta

    A property that holds at a defined point in every iteration. Show it holds initially, survives an iteration, and implies the result when the loop ends.

  3. Cartão 3

    Pergunta

    When analyzing nested loops, why can multiplying their written bounds overestimate runtime?

    Resposta

    The loops may share progress. If an inner pointer only advances across the input once, its total work can be O(n), even inside an outer loop.

  4. Cartão 4

    Pergunta

    What is the difference between auxiliary space and total space?

    Resposta

    Auxiliary space counts extra working storage. Total space also includes the input and, depending on the stated convention, the output. State which measure you report.

  5. Cartão 5

    Pergunta

    What does amortized O(1) mean for an operation sequence?

    Resposta

    The total cost of m operations is O(m), even if some individual operations are expensive. It is a sequence-wide bound, not a probability claim.

  6. Cartão 6

    Pergunta

    How does a counterexample help evaluate a proposed greedy rule?

    Resposta

    One valid input where the rule fails disproves it. Try small cases that force a locally attractive choice to block a better later choice.

  7. Cartão 7

    Pergunta

    Why should an algorithm's correctness argument address termination separately?

    Resposta

    Preserving the right property is not enough if the loop never stops. Identify a bounded measure that moves strictly toward termination.

  8. Cartão 8

    Pergunta

    What runtime lower bound follows from returning k separate results?

    Resposta

    At least Ω(k) time to emit them, or more if each result has multiple elements. Include output size when analyzing enumeration algorithms.

  9. Cartão 9

    Pergunta

    What should you say when quoting expected O(1) hash-table lookup?

    Resposta

    It assumes a suitable hash distribution and controlled load factor. It is not a worst-case guarantee; hashing a long key can also cost time.

  10. Cartão 10

    Pergunta

    Which edge cases best expose index and boundary errors?

    Resposta

    Empty input, one element, all equal elements, and answers at either end. Also check the smallest input that enters each branch.

  11. Cartão 11

    Pergunta

    Why can sorting be an invalid optimization even when it reduces later search work?

    Resposta

    Sorting may destroy required order or original indices. Preserve the needed information or choose an approach that respects the input contract.

  12. Cartão 12

    Pergunta

    What does an exchange argument establish in a greedy proof?

    Resposta

    That an optimal solution can be changed to include the greedy choice without making its objective worse. The remaining problem must still fit the same reasoning.

  13. Cartão 13

    Pergunta

    Why can recursion use O(n) space even without an explicit collection?

    Resposta

    Each active call occupies a stack frame. A chain of n calls can therefore need O(n) auxiliary space.

  14. Cartão 14

    Pergunta

    What evidence should accompany a faster solution after presenting brute force?

    Resposta

    Name the repeated work or discarded search space, explain why the shortcut is safe, and give the resulting time and space bounds.

  15. Cartão 15

    Pergunta

    What makes an array useful when a problem repeatedly accesses positions by index?

    Resposta

    Constant-time indexed access in the usual RAM model. Inserting or removing near the front can still require shifting O(n) elements.

  16. Cartão 16

    Pergunta

    What should 'one character' mean before solving a string problem?

    Resposta

    Clarify whether the unit is a byte, code unit, Unicode code point, or user-perceived character. Indexing and length depend on that choice.

  17. Cartão 17

    Pergunta

    An unsorted array needs a duplicate-existence check. Which structure fits?

    Resposta

    A hash set of values seen so far. Stop when a value is already present; expected O(n) time and O(n) space.

  18. Cartão 18

    Pergunta

    For two-sum on an unsorted array, what should a hash map store?

    Resposta

    Previously seen values mapped to their indices. For each value x, look for target − x before inserting x, so the same position is not reused.

  19. Cartão 19

    Pergunta

    When does a frequency array beat a hash map for counting?

    Resposta

    When keys come from a small known integer or character range. Direct indexing gives predictable access with space proportional to that range.

  20. Cartão 20

    Pergunta

    Why is repeated concatenation risky when constructing a long immutable string?

    Resposta

    Each append may copy the existing prefix, producing quadratic total work. Collect pieces and join them, or use an appropriate mutable builder.

  21. Cartão 21

    Pergunta

    How can you group anagrams without comparing every pair of words?

    Resposta

    Map a canonical character signature to a group. Sorted characters work; a frequency tuple works when the alphabet and character rules are fixed.

  22. Cartão 22

    Pergunta

    What information does a set lose compared with a frequency map?

    Resposta

    Multiplicity. A set can answer whether a value exists but cannot distinguish one occurrence from several.

  23. Cartão 23

    Pergunta

    How can a hash set support finding the longest consecutive integer run in expected O(n) time?

    Resposta

    Start scanning a run only at values whose predecessor is absent. Each distinct value then belongs to one forward scan; iterate distinct values.

  24. Cartão 24

    Pergunta

    Why can a mutable object be a dangerous hash-map key?

    Resposta

    Changing fields used by its hash or equality can make the stored entry unreachable by ordinary lookup. Use immutable keys or stable key values.

  25. Cartão 25

    Pergunta

    An array contains only integers from 0 through k. When is counting sort attractive?

    Resposta

    When k is small enough: count each value and reconstruct the order in O(n + k) time with O(k) count storage. General arbitrary keys need another approach.

  26. Cartão 26

    Pergunta

    How can a single scan find both the minimum value and its earliest index?

    Resposta

    Keep the current minimum and index; update only on a strictly smaller value. Updating on equality would select a later occurrence.

  27. Cartão 27

    Pergunta

    How do you compare two strings as multisets of characters?

    Resposta

    Compare character counts under the same character interpretation. Order does not matter, but every character's multiplicity does.

  28. Cartão 28

    Pergunta

    Why does a hash collision not imply that two keys are equal?

    Resposta

    A hash compresses many possible keys into fewer codes. A correct table also checks key equality when resolving collisions.

  29. Cartão 29

    Pergunta

    When is sorting a useful preprocessing step for detecting duplicate values?

    Resposta

    When reordering is allowed and O(n log n) time is acceptable. Equal values become adjacent, so a scan finds duplicates without a separate hash set.

  30. Cartão 30

    Pergunta

    What is the key distinction between a subarray and a subsequence?

    Resposta

    A subarray is contiguous. A subsequence preserves relative order but may skip positions. Sliding-window methods usually depend on contiguity.

  31. Cartão 31

    Pergunta

    For an unsorted two-sum query, how do hashing and sorting trade off?

    Resposta

    Hashing gives expected O(n) time with O(n) extra storage. Sorting plus two pointers costs O(n log n) time and requires care with original indices and mutation.

  32. Cartão 32

    Pergunta

    How can a frequency map detect whether any permutation of a string can be a palindrome?

    Resposta

    Count odd frequencies. At most one character may have an odd count; all other occurrences must form mirrored pairs.

  33. Cartão 33

    Pergunta

    Why must compound hash keys encode boundaries unambiguously?

    Resposta

    Naive concatenation can merge different tuples into the same key, such as (1, 23) and (12, 3). Use tuples or a length-aware encoding.

  34. Cartão 34

    Pergunta

    What does coordinate compression preserve about numeric values?

    Resposta

    Their relative order and equality, by replacing distinct sorted values with ranks. It does not preserve numeric distances or sums.

  35. Cartão 35

    Pergunta

    How can you compute products except self without division?

    Resposta

    Combine the product strictly before each position with the product strictly after it. Prefix and suffix passes handle zeros; use a numeric type large enough for the products.

  36. Cartão 36

    Pergunta

    Why can a count of matching pairs overflow even when every input value fits in an integer?

    Resposta

    The number of matching pairs can grow quadratically with the input length. Size the result type for the count, not just the input values.

  37. Cartão 37

    Pergunta

    A sorted array needs a pair with a target sum. Which search pattern fits?

    Resposta

    Opposite-end two pointers. Compare the endpoint sum with the target and move the endpoint that can move the sum in the needed direction.

  38. Cartão 38

    Pergunta

    What invariant supports in-place removal of unwanted array values with read and write pointers?

    Resposta

    The prefix before write contains exactly the retained values from the processed input, in order. Read scans every input position once.

  39. Cartão 39

    Pergunta

    How can two pointers check a palindrome without constructing a reversed string?

    Resposta

    Compare matching elements from opposite ends and move inward. Any mismatch rejects it; the pointers meeting or crossing completes the check.

  40. Cartão 40

    Pergunta

    When does a fixed-size sliding window apply?

    Resposta

    When every candidate is a contiguous block of the same length and its summary can be updated as one element enters and one leaves.

  41. Cartão 41

    Pergunta

    What invariant should a longest-window algorithm restore after adding a new rightmost element?

    Resposta

    The current window satisfies the required constraint. Move the left boundary and update state until validity returns, then consider its length.

  42. Cartão 42

    Pergunta

    Why is moving the left pointer safe when a sorted-array endpoint sum is too small?

    Resposta

    With that left value, every candidate at or before the current right endpoint gives an equally small or smaller sum. The left position cannot form a valid pair.

  43. Cartão 43

    Pergunta

    How does a three-way partition maintain separate regions?

    Resposta

    Track a low region, a middle region, an unclassified region, and a high region. Each step shrinks the unclassified region by placing one element correctly.

  44. Cartão 44

    Pergunta

    How do you update the sum when a fixed-size window moves one position?

    Resposta

    Subtract the outgoing value and add the incoming value. After initializing the first window, all moves together take O(n) time.

  45. Cartão 45

    Pergunta

    Why can a variable sliding window run in O(n) despite a nested shrink loop?

    Resposta

    Each boundary advances at most n times. With constant-time state updates, the total number of additions and removals is linear.

  46. Cartão 46

    Pergunta

    For the longest substring without repeated characters, what window state is useful?

    Resposta

    Character counts or last-seen positions. Move the left boundary past the conflicting occurrence while ensuring it never moves backward.

  47. Cartão 47

    Pergunta

    Why does opposite-end target-sum search fail on a generally unsorted array?

    Resposta

    Moving an endpoint no longer changes the sum predictably. The algorithm can discard a valid pair because the order-based elimination proof is missing.

  48. Cartão 48

    Pergunta

    A positive-number array needs the shortest nonempty subarray with sum at least a positive T. When should the left boundary move?

    Resposta

    While the current sum is at least T, record the length and remove the leftmost value. Positive values make further shrinking reduce the sum predictably.

  49. Cartão 49

    Pergunta

    For windows with at most k distinct values, what must happen when an outgoing count becomes zero?

    Resposta

    Remove that value from the active distinct set or decrement the distinct counter. A zero count must not still count as present.

  50. Cartão 50

    Pergunta

    What changes when a fixed-window length exceeds the input length?

    Resposta

    There is no complete window. Return the contract's empty or missing-result value instead of treating a partial block as a valid candidate.

  51. Cartão 51

    Pergunta

    How do you merge two sorted arrays with forward pointers?

    Resposta

    Repeatedly take the smaller unconsumed element, then append the remaining suffix. Each element is consumed once, giving O(m + n) time.

  52. Cartão 52

    Pergunta

    Why must a minimum-cover substring track multiplicities of required characters?

    Resposta

    A target can require the same character more than once. A set of required characters would mark an undersupplied window as complete.

  53. Cartão 53

    Pergunta

    How can counting subarrays with exactly k distinct values, for k ≥ 1, use an at-most helper?

    Resposta

    Compute atMost(k) − atMost(k − 1). The helper counts all valid subarrays ending at each right boundary after restoring the distinct-value limit.

  54. Cartão 54

    Pergunta

    Why can a negative value break the usual shortest-sum sliding-window argument?

    Resposta

    Removing it increases the sum, and adding one can decrease the sum. The monotonic relation between window size and sum no longer holds.

  55. Cartão 55

    Pergunta

    What does 'fast and slow pointers' mean when removing duplicates from a sorted array?

    Resposta

    A read pointer scans candidates while a write pointer marks the next unique slot. Sorting makes equal values adjacent, so the retained prefix can stay compact.

  56. Cartão 56

    Pergunta

    What invariant prevents overwriting unread data during a backward merge into spare array capacity?

    Resposta

    The suffix after the write pointer already contains the largest merged elements. Filling from the end leaves the remaining source elements unread and intact.

  57. Cartão 57

    Pergunta

    Why is 'find a contiguous range' alone insufficient to justify a variable sliding window?

    Resposta

    You also need a safe boundary-movement rule. Check how adding and removing elements affect the condition; contiguity by itself gives no such guarantee.

  58. Cartão 58

    Pergunta

    After restoring an at-most window's validity, why are there right − left + 1 valid subarrays ending at right?

    Resposta

    Every suffix starting between left and right is valid when removing elements cannot violate the constraint. Count those starts, including the one-element suffix.

  59. Cartão 59

    Pergunta

    How can you avoid duplicate value pairs in a sorted two-pointer enumeration?

    Resposta

    After emitting a pair, skip equal values on both sides. First confirm the output wants unique value pairs, since index-pair counting needs different handling.

  60. Cartão 60

    Pergunta

    When does a character-frequency sliding window detect an anagram of a pattern?

    Resposta

    When the window has the pattern's length and identical character counts. Maintain count differences or a mismatch counter as the window moves.

  61. Cartão 61

    Pergunta

    What does a prefix-sum array P mean when P[0] = 0?

    Resposta

    P[i] is the sum of the first i input elements. The extra zero represents the empty prefix and makes ranges beginning at index 0 work uniformly.

  62. Cartão 62

    Pergunta

    When is binary search valid on a Boolean predicate over ordered candidates?

    Resposta

    When the predicate changes at most once, such as false then true. The search uses that monotonic boundary to discard a whole interval.

  63. Cartão 63

    Pergunta

    Which workload favors a difference array?

    Resposta

    Many range additions followed by final value reconstruction. Mark each range's start and end changes, then take one prefix sum.

  64. Cartão 64

    Pergunta

    In a lower-bound search over [lo, hi), what does hi initially equal for an n-element array?

    Resposta

    n, an exclusive boundary. The result can equal n when no element is at least the target, so do not index the array without checking.

  65. Cartão 65

    Pergunta

    For a static array, how do prefix sums answer the half-open range [l, r)?

    Resposta

    Return P[r] − P[l]. Building P takes O(n) time and space; each range-sum query then takes O(1).

  66. Cartão 66

    Pergunta

    How can prefix sums count subarrays whose sum equals k when negative values are allowed?

    Resposta

    For each current prefix p, add the number of earlier prefixes equal to p − k, then record p. A frequency map gives expected O(n) time.

  67. Cartão 67

    Pergunta

    Why is binary-searching an answer different from binary-searching an input array?

    Resposta

    The candidates are possible result values. A feasibility check tells which side contains the boundary, even if the original input is unsorted.

  68. Cartão 68

    Pergunta

    How does a difference array encode an addition of v to [l, r)?

    Resposta

    Add v at l and subtract v at r, using a boundary slot when needed. The reconstructed prefix totals apply v only within that range.

  69. Cartão 69

    Pergunta

    For lower bound, how should equality with the target move the search boundary?

    Resposta

    Move hi to mid. An equal element is a candidate, but an earlier equal or qualifying element may still exist.

  70. Cartão 70

    Pergunta

    Why initialize the prefix-frequency map with zero appearing once?

    Resposta

    It represents the empty prefix before the array. This lets a subarray starting at index 0 contribute to the count.

  71. Cartão 71

    Pergunta

    Why are plain prefix sums inconvenient for many interleaved point updates and range-sum queries?

    Resposta

    Changing one value can invalidate a long suffix of prefix sums. A Fenwick tree or segment tree can support both operations in O(log n).

  72. Cartão 72

    Pergunta

    How can you binary-search the minimum capacity needed to finish ordered work within a deadline?

    Resposta

    Define whether a capacity suffices, prove larger capacities remain feasible, bracket a feasible answer, and search for the first feasible capacity.

  73. Cartão 73

    Pergunta

    What must every binary-search iteration do to guarantee termination?

    Resposta

    Strictly shrink the candidate interval while preserving the boundary invariant. Mixing inclusive and exclusive update rules can leave the same interval unchanged.

  74. Cartão 74

    Pergunta

    For the longest subarray with a specified sum, which occurrence of each prefix sum should you retain?

    Resposta

    The earliest index. For a later endpoint, it gives the longest matching span; overwriting it with a later occurrence can shorten the answer.

  75. Cartão 75

    Pergunta

    What runtime should you report for binary search with a nonconstant feasibility check?

    Resposta

    O(C log R), where C is one check's cost and R is the number of discrete candidates. Include any preprocessing separately.

  76. Cartão 76

    Pergunta

    How can prefix sums turn a longest balanced binary subarray into an equal-prefix problem?

    Resposta

    Map one symbol to +1 and the other to −1. Equal prefix sums enclose a zero-sum range with equal counts of the two symbols.

  77. Cartão 77

    Pergunta

    What is upper bound in a sorted array?

    Resposta

    The first position whose value is strictly greater than the target, or n if none exists. Lower bound instead finds the first value at least the target.

  78. Cartão 78

    Pergunta

    Why must a prefix-sum counting algorithm query before recording the current prefix?

    Resposta

    Recording first can count the empty subarray ending at the current boundary, especially for target zero. Query only earlier prefixes for nonempty ranges.

  79. Cartão 79

    Pergunta

    How do you safely compute a midpoint in a fixed-width integer search?

    Resposta

    Use lo + (hi − lo) / 2 with integer division when the nonnegative difference fits the type. Choose bounds or a wider type that also keep the subtraction safe.

  80. Cartão 80

    Pergunta

    Why can duplicate values degrade searching a rotated sorted array to O(n)?

    Resposta

    Equal endpoints and midpoint can hide which side is sorted. Some cases permit discarding only one boundary element at a time.

  81. Cartão 81

    Pergunta

    What preprocessing usually simplifies merging overlapping intervals?

    Resposta

    Sort by start coordinate. Keep the current merged interval and either extend its end or emit it when the next interval starts beyond it.

  82. Cartão 82

    Pergunta

    Which data structure matches nested bracket validation?

    Resposta

    A stack of unmatched opening brackets. Each closing bracket must match the most recent unmatched opener, and the stack must be empty at the end.

  83. Cartão 83

    Pergunta

    A problem asks for each element's next greater element. Which pattern is promising?

    Resposta

    A monotonic stack of unresolved positions. A new larger value resolves the smaller pending values it overtakes.

  84. Cartão 84

    Pergunta

    Why must interval endpoint conventions be explicit?

    Resposta

    Touching endpoints overlap for closed intervals, but adjacent half-open intervals do not. The convention changes merge tests and event ordering.

  85. Cartão 85

    Pergunta

    How can a sweep line find the maximum number of simultaneous intervals?

    Resposta

    Turn starts and ends into signed events, sort by coordinate, and track the running active count. Handle same-coordinate ties according to the endpoint convention.

  86. Cartão 86

    Pergunta

    Why is one pass after sorting enough to merge intervals?

    Resposta

    No later interval starts earlier than the next one being inspected. Once that start is beyond the current end, future intervals cannot bridge the gap.

  87. Cartão 87

    Pergunta

    What information should a stack store for next-greater distances?

    Resposta

    Indices, so the distance is currentIndex − previousIndex. Values alone do not identify positions or distinguish repeated occurrences.

  88. Cartão 88

    Pergunta

    Why is counting opening and closing brackets insufficient to validate their sequence?

    Resposta

    Counts ignore order and nesting. A closing bracket may appear before its opener, or bracket types may cross despite balanced totals.

  89. Cartão 89

    Pergunta

    For half-open intervals [start, end), how should equal-time starts and ends affect room counts?

    Resposta

    Process ends before starts, or aggregate their net change before evaluating the active count for the next segment. A room freed at time t can be reused at t.

  90. Cartão 90

    Pergunta

    Why is a monotonic-stack algorithm often O(n) even though one step can pop many items?

    Resposta

    Each item is pushed once and popped at most once. Summed across the scan, stack operations are linear.

  91. Cartão 91

    Pergunta

    How can a stack help simplify an absolute filesystem path lexically?

    Resposta

    Process components: ignore empty components and '.', pop for '..' when possible, and push ordinary names. This lexical result does not resolve symbolic links.

  92. Cartão 92

    Pergunta

    How can a monotonic deque find each sliding-window maximum?

    Resposta

    Keep candidate indices in decreasing value order. Remove expired indices from the front and dominated values from the back; the front gives the maximum.

  93. Cartão 93

    Pergunta

    What mistake can lose coverage when merging an interval contained inside the current one?

    Resposta

    Replacing the current end with the new end. Use the larger end so a nested interval cannot shrink the merged coverage.

  94. Cartão 94

    Pergunta

    For a strictly next-greater query, what should happen to an equal-valued stack entry?

    Resposta

    Do not resolve it with the equal value. With a decreasing stack of unresolved indices, pop only when the new value is strictly greater.

  95. Cartão 95

    Pergunta

    What event allows a monotonic stack to finalize a rectangle in a histogram?

    Resposta

    A shorter bar supplies a right limit for taller bars being popped. A popped bar's candidate span starts after the new stack top, or at index 0 if the stack is empty. Handle equal heights consistently.

  96. Cartão 96

    Pergunta

    What comparison detects overlap between two nonempty half-open intervals?

    Resposta

    max(start1, start2) < min(end1, end2). A strict comparison excludes intervals that only touch.

  97. Cartão 97

    Pergunta

    How does a stack support evaluating a postfix arithmetic expression?

    Resposta

    Push operands; for an operator, pop its right operand and then its left operand, compute, and push the result. Preserve order for subtraction and division.

  98. Cartão 98

    Pergunta

    Why can a newer value dominate an older value in a sliding-window maximum deque?

    Resposta

    If the newer value is at least as large, it expires no earlier and is never worse as a future maximum. The older candidate can be removed.

  99. Cartão 99

    Pergunta

    How can you merge two already sorted lists of disjoint intervals to find their intersections?

    Resposta

    Compare one interval from each list, emit any overlap, then advance the one with the earlier end. Total time is O(m + n).

  100. Cartão 100

    Pergunta

    Why must a histogram stack algorithm handle bars still pending after the scan?

    Resposta

    Those bars may extend to the array's end and contain the largest rectangle. Flush them using the end boundary or a suitable sentinel.

  101. Cartão 101

    Pergunta

    What must you save before reversing a singly linked list node's next pointer?

    Resposta

    Its original next node. Otherwise rewiring can lose access to the remaining list.

  102. Cartão 102

    Pergunta

    Why does a dummy head simplify linked-list insertion and deletion?

    Resposta

    It supplies a predecessor even when the real head changes. The same pointer update can handle both the first node and interior nodes.

  103. Cartão 103

    Pergunta

    How do fast and slow pointers detect a cycle in a singly linked list?

    Resposta

    Advance one pointer one step and the other two. A meeting implies a cycle; reaching null with the fast pointer means the list terminates.

  104. Cartão 104

    Pergunta

    What does a recursive binary-tree traversal use for auxiliary space?

    Resposta

    O(h) call-stack space, where h is tree height. This is O(log n) for a balanced tree but O(n) for a chain.

  105. Cartão 105

    Pergunta

    During iterative list reversal, what do prev and current represent?

    Resposta

    prev heads the reversed processed prefix; current heads the unprocessed suffix. Rewire one node while preserving access to the suffix.

    An abstract row of teal and amber tiles connects to a branching tree and a small network of nodes on a dark blue background.

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  106. Cartão 106

    Pergunta

    How can you remove the nth node from the end of a list in one pass?

    Resposta

    Start lead at the head and lag at a dummy head. Advance lead n nodes, then move both until lead is null; remove lag.next. Reject invalid n according to the input contract.

  107. Cartão 107

    Pergunta

    Which tree traversal naturally computes a value that depends on both children's results?

    Resposta

    Postorder. Process left and right subtrees before combining their results at the parent.

  108. Cartão 108

    Pergunta

    How can you locate a cycle's entry after Floyd's two-speed pointers meet?

    Resposta

    Reset one pointer to the head and move both one step at a time. Their next meeting is the entry; this follows from the distances modulo the cycle length.

  109. Cartão 109

    Pergunta

    What is the difference between tree depth and tree height?

    Resposta

    Depth measures distance from the root to a node; height measures the longest downward distance to a leaf. State whether distances count edges or nodes.

  110. Cartão 110

    Pergunta

    How can you merge two sorted linked lists using O(1) auxiliary node storage?

    Resposta

    Relink the smaller current node onto the result tail, advancing that list. Attach the remaining suffix when one list ends; existing nodes are reused.

  111. Cartão 111

    Pergunta

    When is breadth-first traversal more natural than depth-first traversal on a tree?

    Resposta

    When results are grouped by depth or you need the nearest qualifying node by edge count. A queue processes one distance layer before the next.

  112. Cartão 112

    Pergunta

    Why must linked-list intersection compare node identity rather than node value?

    Resposta

    Intersection means sharing the same node object and suffix. Separate nodes can hold equal values without the lists intersecting.

  113. Cartão 113

    Pergunta

    Why is checking only immediate children insufficient to validate a binary search tree?

    Resposta

    A descendant can satisfy its parent yet violate an ancestor's constraint. Carry inherited lower and upper bounds, with an explicit duplicate policy.

  114. Cartão 114

    Pergunta

    What is the lowest common ancestor of two nodes in a rooted tree?

    Resposta

    The deepest node that is an ancestor of both, allowing a node to be its own ancestor.

  115. Cartão 115

    Pergunta

    What property makes inorder traversal useful in a binary search tree?

    Resposta

    It visits keys in sorted order under the tree's duplicate policy. In a strict BST, each visited key must be greater than the previous one.

  116. Cartão 116

    Pergunta

    Why must maximum tree-path sum separate its returned value from its global candidate?

    Resposta

    The parent can extend only one downward branch. A complete path considered at the current node may join both children, but that fork cannot be extended upward.

  117. Cartão 117

    Pergunta

    How can two pointers find the intersection of two acyclic singly linked lists without measuring lengths?

    Resposta

    After reaching a list's end, switch that pointer to the other head. Each traverses both lengths, so they meet at the shared node or at null.

  118. Cartão 118

    Pergunta

    What extra information makes preorder serialization unambiguous for an arbitrary binary tree?

    Resposta

    Explicit null-child markers or another equivalent shape encoding. Values in preorder alone do not determine the structure.

  119. Cartão 119

    Pergunta

    Why can repeated subtree-height calculations make a tree-balance check O(n²)?

    Resposta

    The same descendants may be scanned from many ancestors. Return height and balance together in one postorder traversal to visit each node once.

  120. Cartão 120

    Pergunta

    How does BST ordering guide a lowest-common-ancestor search for two existing distinct keys?

    Resposta

    Move left if both keys are smaller and right if both are larger. The first split, or a node matching one key, is their lowest common ancestor.

  121. Cartão 121

    Pergunta

    What runtime does a search in an ordinary unbalanced BST guarantee?

    Resposta

    O(h), where h is its height, and O(n) in the worst case. Logarithmic search requires a balance guarantee or a stated expected-shape assumption.

  122. Cartão 122

    Pergunta

    When computing a root-to-leaf path sum, why is reaching a null child insufficient for success?

    Resposta

    A valid endpoint must be a leaf with no children. A missing child beside an existing child does not finish a root-to-leaf path.

  123. Cartão 123

    Pergunta

    What does a min-heap guarantee about its root and children?

    Resposta

    The root is a minimum element, and each parent is no larger than its children. The whole array representation is not sorted.

  124. Cartão 124

    Pergunta

    A stream needs the k largest values seen so far. Which heap should you maintain?

    Resposta

    A min-heap of at most k values. Its root is the smallest retained value, so a larger arrival can replace it.

  125. Cartão 125

    Pergunta

    What shared structure does a trie store?

    Resposta

    Prefixes of keys. Following one edge per symbol reaches a key's prefix node, while a terminal marker distinguishes a complete stored key.

  126. Cartão 126

    Pergunta

    What are the usual binary-heap costs for peek, insertion, and root removal?

    Resposta

    Peek is O(1); insertion and root removal are O(log n). Moving a changed element along one root-to-leaf path restores heap order.

  127. Cartão 127

    Pergunta

    How can a heap merge k sorted input streams?

    Resposta

    Keep each nonempty stream's next element in a min-heap. Emit the minimum and replace it with that stream's next item. With k streams and N total elements, O(k + N log k) time includes initialization for k ≥ 2.

  128. Cartão 128

    Pergunta

    Why is bottom-up heap construction O(n), not O(n log n)?

    Resposta

    Most nodes are near the leaves and can move only a short distance. Summing each node's possible sift-down work across all heights is linear.

  129. Cartão 129

    Pergunta

    How do two heaps support a running median?

    Resposta

    Keep the lower half in a max-heap and the upper half in a min-heap, with sizes differing by at most one and every lower value no greater than every upper value.

  130. Cartão 130

    Pergunta

    What is a trie's lookup cost for a key of length L?

    Resposta

    O(L) when each child transition is O(1). Child maps or ordered child containers can change that transition cost; space depends on stored prefixes and representation.

  131. Cartão 131

    Pergunta

    Why does a trie node need a terminal marker even if it has children?

    Resposta

    A stored key can be a prefix of another key. The marker distinguishes a complete word from a prefix that merely leads to longer words.

  132. Cartão 132

    Pergunta

    When does sorting make more sense than a top-k heap?

    Resposta

    When you need the entire sorted order or k is close to n and a full sort is acceptable. A heap's advantage is strongest when only a small retained subset is needed.

  133. Cartão 133

    Pergunta

    Why does a priority queue not by itself support efficient arbitrary deletion?

    Resposta

    The heap efficiently exposes only its root. Removing another item needs its position, an indexed-heap design, or a lazy-deletion scheme with cleanup.

  134. Cartão 134

    Pergunta

    What output cost remains after a trie reaches a requested prefix?

    Resposta

    Enumerating matching completions still costs time proportional to the visited subtree and emitted text. Prefix lookup does not make all autocomplete results free.

  135. Cartão 135

    Pergunta

    How can a priority queue break tied priorities without comparing the payloads?

    Resposta

    Attach a unique increasing sequence number and compare priority first, then sequence number. Equal-priority items can then leave in insertion order without requiring an order on their payloads.

  136. Cartão 136

    Pergunta

    Why can a trie use more memory than a hash set of complete strings?

    Resposta

    Nodes and child containers have overhead, especially for sparse branches. Shared prefixes save repeated symbols but do not guarantee a smaller representation.

  137. Cartão 137

    Pergunta

    What should graph modeling identify before choosing a traversal?

    Resposta

    The states as vertices and legal transitions as edges, including direction and cost. A grid cell, word, or puzzle configuration can be a vertex.

  138. Cartão 138

    Pergunta

    When does ordinary BFS find a shortest path?

    Resposta

    When every edge has the same nonnegative cost, including the unweighted case. Processing vertices by distance layer makes first discovery a shortest-edge-count path.

  139. Cartão 139

    Pergunta

    What is the space cost of an adjacency list compared with an adjacency matrix?

    Resposta

    A list uses O(V + E) space; a matrix uses O(V²). A matrix gives constant-time edge lookup, while lists efficiently enumerate actual neighbors.

  140. Cartão 140

    Pergunta

    Which pattern finds all vertices reachable from a start vertex?

    Resposta

    DFS or BFS with a visited set. Each reachable vertex and edge is processed a bounded number of times with adjacency lists.

  141. Cartão 141

    Pergunta

    What role does a parent map play in shortest-path traversal?

    Resposta

    It records the predecessor used to reach each state. After reaching the target, follow parents backward and reverse the sequence to recover a path.

  142. Cartão 142

    Pergunta

    Why should BFS mark a vertex visited when enqueuing it?

    Resposta

    To prevent several parents from adding it before its first removal. First enqueue already fixes its distance in an unweighted graph.

  143. Cartão 143

    Pergunta

    When is Dijkstra's algorithm appropriate?

    Resposta

    For shortest paths with nonnegative edge weights. Its greedy finalization relies on no later path reducing a settled distance through a negative edge.

  144. Cartão 144

    Pergunta

    How can a grid traversal avoid confusing physical cells with full search states?

    Resposta

    Include all information that changes future moves in the visited key, such as remaining obstacle removals or collected keys. Position alone may merge different states.

  145. Cartão 145

    Pergunta

    How do you detect a directed cycle with DFS?

    Resposta

    Track unvisited, active, and finished vertices. An edge to an active vertex closes a cycle on the current recursion path.

  146. Cartão 146

    Pergunta

    Why can DFS with a visited set fail to find a shortest unweighted path?

    Resposta

    Its first discovered route may follow a deep detour. DFS reachability order is not distance order; BFS provides that guarantee.

  147. Cartão 147

    Pergunta

    What does a topological ordering guarantee?

    Resposta

    For every directed edge u → v, u appears before v. Such an ordering exists exactly when the directed graph is acyclic.

  148. Cartão 148

    Pergunta

    Why should stale priority-queue entries be skipped in a common Dijkstra implementation?

    Resposta

    A vertex can receive a better distance after an older entry was pushed. Skip an entry whose stored distance differs from the current best distance.

  149. Cartão 149

    Pergunta

    For an undirected simple graph, why does DFS ignore the edge back to its parent when detecting cycles?

    Resposta

    That edge is the same tree edge traversed in reverse, not a new cycle. A different already-visited neighbor indicates a cycle.

  150. Cartão 150

    Pergunta

    What does union-find answer efficiently?

    Resposta

    Whether elements belong to the same connected component while components are merged. It does not store the actual connecting paths.

  151. Cartão 151

    Pergunta

    How does Kahn's algorithm build a topological ordering?

    Resposta

    Enqueue all zero-indegree vertices, repeatedly remove one, and decrement its outgoing neighbors' indegrees. Enqueue each neighbor when its indegree becomes zero.

  152. Cartão 152

    Pergunta

    Which shortest-path algorithm handles edges weighted only 0 or 1 without a heap?

    Resposta

    0–1 BFS with a deque. Push a relaxed zero-cost neighbor to the front and a one-cost neighbor to the back, preserving distance order.

  153. Cartão 153

    Pergunta

    Why is a boolean visited flag usually wrong for Dijkstra at first enqueue?

    Resposta

    The first tentative distance need not be the shortest. Allow improvements; a vertex becomes settled when its smallest current distance is removed from the queue.

  154. Cartão 154

    Pergunta

    How do path compression and union by size or rank affect union-find complexity?

    Resposta

    Together they give O(α(n)) amortized time per operation, where α is the inverse Ackermann function. The bound is effectively tiny for practical input sizes.

  155. Cartão 155

    Pergunta

    What does processing fewer than V vertices in Kahn's algorithm reveal?

    Resposta

    A directed cycle remains. No vertex in the cyclic remainder can reach indegree zero after all removable dependencies are processed.

  156. Cartão 156

    Pergunta

    How can BFS compute distance from every grid cell to the nearest source?

    Resposta

    Initialize the queue with all sources at distance zero. This multi-source BFS expands the nearest-source distance layers together.

  157. Cartão 157

    Pergunta

    Why can a topological ordering be nonunique?

    Resposta

    Several vertices may currently have no remaining prerequisites. Choosing them in different orders can produce different valid orderings.

  158. Cartão 158

    Pergunta

    What happens when union-find receives an edge whose endpoints already share a representative?

    Resposta

    The edge connects vertices already in one component. In incremental construction of an undirected forest, adding it creates a cycle.

  159. Cartão 159

    Pergunta

    Which algorithm can handle negative edge weights and detect a reachable negative cycle?

    Resposta

    Bellman–Ford. Repeatedly relax all edges; an improvement after V − 1 full rounds indicates a negative cycle reachable from the source.

  160. Cartão 160

    Pergunta

    Why does traversal need an outer loop to count every connected component of an undirected graph?

    Resposta

    One traversal reaches only one component. Start another traversal from each still-unvisited vertex and increment the component count.

  161. Cartão 161

    Pergunta

    How can topological order simplify shortest paths in a weighted DAG?

    Resposta

    Relax each vertex's outgoing edges in topological order. Every predecessor is processed first, so negative weights are allowed and total time is O(V + E).

  162. Cartão 162

    Pergunta

    When should you use BFS or DFS instead of union-find for connectivity?

    Resposta

    When the graph is static and you need traversal details such as paths or component members. Union-find is especially useful for repeated incremental edge additions and connectivity queries.

  163. Cartão 163

    Pergunta

    What is the difference between a minimum spanning tree and a shortest-path tree?

    Resposta

    A minimum spanning tree minimizes total connecting edge weight. A shortest-path tree preserves shortest routes from a chosen source; neither objective implies the other.

  164. Cartão 164

    Pergunta

    Why can stopping at the first meeting be unsafe in bidirectional BFS with arbitrary node-by-node expansion?

    Resposta

    A first meeting under an arbitrary expansion order may not minimize the combined distances. Use a layer-based stopping rule that accounts for both search depths.

  165. Cartão 165

    Pergunta

    Which signal suggests backtracking rather than a single greedy choice?

    Resposta

    The task asks for all valid arrangements, or choices must be tried and undone because no safe local choice is known. Build a partial candidate and explore legal extensions.

  166. Cartão 166

    Pergunta

    What belongs in a backtracking state?

    Resposta

    Enough information to determine legal next choices and recognize completion, such as the current position, chosen items, and remaining constraints.

  167. Cartão 167

    Pergunta

    What makes a pruning condition safe?

    Resposta

    It proves that no completion of the current partial state can satisfy the goal or improve the required objective. A guess about likely failure is insufficient.

  168. Cartão 168

    Pergunta

    How do combinations differ from permutations during generation?

    Resposta

    Combinations ignore order, so restrict future choices to later positions. Permutations care about order, so track which positions are already used.

  169. Cartão 169

    Pergunta

    What should be true after a backtracking recursive call returns?

    Resposta

    The caller's mutable search state is restored exactly to its pre-choice state. Undo additions and constraint updates before trying a sibling choice.

  170. Cartão 170

    Pergunta

    When generating unique subsets from sorted values, how do you skip duplicates safely?

    Resposta

    At one recursion depth, skip a value equal to the previous sibling candidate. Still allow equal values at deeper levels when the input provides multiple copies.

  171. Cartão 171

    Pergunta

    Why can backtracking output alone require exponential time?

    Resposta

    A set with n distinct elements has 2^n subsets. Explicitly listing all subsets cannot be polynomial in n; copying their contents adds further cost.

  172. Cartão 172

    Pergunta

    Why should a completed mutable candidate usually be copied before saving it?

    Resposta

    Later backtracking steps will modify the working candidate. Saving only a reference can make all recorded answers reflect subsequent changes.

  173. Cartão 173

    Pergunta

    What is the main risk of memoizing backtracking solely by the current index?

    Resposta

    Different histories can leave different remaining choices or constraints. The memo key must include every part of the state that affects future results.

  174. Cartão 174

    Pergunta

    For selecting the most nonoverlapping intervals, which greedy choice is justified?

    Resposta

    Choose the available interval with the earliest finishing time, then continue with compatible intervals. This leaves at least as much room for the remaining selections.

  175. Cartão 175

    Pergunta

    What is the difference between greedy choice and dynamic programming?

    Resposta

    Greedy commits to a choice proven safe without exploring all alternatives. DP evaluates and combines subproblem alternatives when that local commitment is not justified.

  176. Cartão 176

    Pergunta

    Why does choosing the largest coin repeatedly fail for some coin systems?

    Resposta

    The locally largest coin can leave an expensive remainder. With denominations 1, 3, 4 and amount 6, greedy uses 4 + 1 + 1, while 3 + 3 uses fewer coins.

  177. Cartão 177

    Pergunta

    How does a farthest-reachable frontier solve reachability in a nonnegative jump-length array?

    Resposta

    Scan positions no farther than the current frontier and extend it with each reachable index plus its jump length. If the next position lies beyond the frontier, progress is impossible.

  178. Cartão 178

    Pergunta

    Why does choosing the shortest interval not always maximize the number of nonoverlapping intervals?

    Resposta

    A short interval can cross the boundary between two compatible intervals and block both. Duration alone does not measure the future scheduling space it consumes.

  179. Cartão 179

    Pergunta

    What must be proved before pruning a combination-sum branch because its sum exceeds the target?

    Resposta

    Remaining choices cannot reduce the sum. The pruning is safe for nonnegative additions under the stated goal, but negative numbers can make it invalid.

  180. Cartão 180

    Pergunta

    How does branch and bound differ from ordinary feasibility pruning?

    Resposta

    It uses a bound on the best objective reachable from a partial state. Prune only when that bound cannot beat the best complete answer already found.

  181. Cartão 181

    Pergunta

    What question distinguishes a greedy proof from evidence that a heuristic often works?

    Resposta

    Can every discarded alternative be ruled out for all valid inputs? Examples and benchmarks support a heuristic, but do not establish the safe-choice property.

  182. Cartão 182

    Pergunta

    Why is earliest-finish interval scheduling insufficient when intervals have different rewards?

    Resposta

    Maximizing count and maximizing reward are different objectives. A single high-reward interval can beat several low-reward intervals, so weighted scheduling needs more information.

  183. Cartão 183

    Pergunta

    Which combination of properties makes dynamic programming promising?

    Resposta

    Repeated subproblems and a recurrence that combines their results. Define a state whose answer is independent of the path used to reach it.

  184. Cartão 184

    Pergunta

    What should a DP state definition say before you write a recurrence?

    Resposta

    Exactly what one table entry means, including its input boundary and any remaining resource or constraint. Ambiguous states lead to mismatched transitions.

  185. Cartão 185

    Pergunta

    How do top-down memoization and bottom-up tabulation differ?

    Resposta

    Memoization computes states on demand through calls and caches them. Tabulation processes states in an explicit dependency order, often avoiding recursion overhead.

  186. Cartão 186

    Pergunta

    What determines the runtime of a DP with a finite state table?

    Resposta

    The number of states actually evaluated times the work per state, plus preprocessing and output reconstruction. Count transitions rather than just table dimensions.

  187. Cartão 187

    Pergunta

    Why are base cases part of a DP's meaning rather than convenient initial values?

    Resposta

    They encode valid empty or smallest subproblems. A wrong base value can invent impossible solutions or remove legitimate ones from every later transition.

  188. Cartão 188

    Pergunta

    For 0/1 knapsack compressed to one capacity array, why iterate capacities downward?

    Resposta

    Each item must be used at most once. Descending order reads the previous item's state instead of reusing an update made for the current item.

  189. Cartão 189

    Pergunta

    When can a DP table be compressed to a few rows or variables?

    Resposta

    When future states depend only on a bounded slice of earlier states. Keep those dependencies until their last use; reconstruction may need additional storage.

  190. Cartão 190

    Pergunta

    What recurrence models choosing nonadjacent values for maximum sum?

    Resposta

    At each position, compare skipping it with taking it plus the best result before its neighbor. The base cases must specify whether choosing nothing is allowed.

  191. Cartão 191

    Pergunta

    What DP state counts paths through a blocked grid when moves are only right or down?

    Resposta

    The number of ways to reach each cell from above or from the left. Blocked cells contribute zero; initialize an unblocked starting cell to one.

  192. Cartão 192

    Pergunta

    For unbounded knapsack, why can capacities run upward within an item's pass?

    Resposta

    Reusing the current item's updated smaller-capacity result is allowed. Ascending order lets that item contribute more than once.

  193. Cartão 193

    Pergunta

    How can loop order change coin-change counting from combinations to ordered sequences?

    Resposta

    Processing coin types outside amounts builds combinations without ordering them. Processing amounts outside all coin choices counts different last-coin sequences separately.

  194. Cartão 194

    Pergunta

    What is the key distinction between longest common subsequence and longest common substring?

    Resposta

    A subsequence may skip characters; a substring must stay contiguous. Their DP transitions differ because a substring match cannot carry through a mismatch.

  195. Cartão 195

    Pergunta

    Why is O(nW) knapsack called pseudopolynomial?

    Resposta

    It is polynomial in the numeric capacity W, but W can be exponential in the number of bits used to encode it. It is not polynomial in input bit length.

  196. Cartão 196

    Pergunta

    For longest increasing subsequence, what does tails[length − 1] represent in the O(n log n) method?

    Resposta

    The smallest possible final value of an increasing subsequence of that length among processed values. The tails array itself need not be one actual subsequence.

  197. Cartão 197

    Pergunta

    Why do counting and minimization DPs use different unreachable-state values?

    Resposta

    A count uses zero ways. A minimization state needs an explicit unreachable marker or infinity so an impossible predecessor cannot look like a cheap solution.

  198. Cartão 198

    Pergunta

    What state supports edit distance between two strings?

    Resposta

    The minimum edits needed to transform one prefix into the other. Transitions account for insertion, deletion, and replacement or a matching final character.

  199. Cartão 199

    Pergunta

    How can a DP recover one chosen solution instead of only its score?

    Resposta

    Store predecessor or choice information, or recompute choices from the full table. Walk backward from the final state to reconstruct the selected decisions.

  200. Cartão 200

    Pergunta

    Why must an LIS implementation choose its binary-search boundary according to strictness?

    Resposta

    For a strictly increasing subsequence, replace the first tail at least equal to the value. A nondecreasing subsequence instead uses the first strictly greater tail.

  201. Cartão 201

    Pergunta

    What operation tests whether bit i of a nonnegative integer mask is set?

    Resposta

    Check whether mask AND (1 shifted left by i) is nonzero. Ensure i is inside the integer representation's supported bit range.

  202. Cartão 202

    Pergunta

    Why does XOR recover a unique value when every other value occurs exactly twice?

    Resposta

    Equal values cancel because x XOR x = 0, and XOR is associative and commutative. XORing all values leaves the single unpaired value.

  203. Cartão 203

    Pergunta

    What does x AND (x − 1) do for a positive integer x?

    Resposta

    It clears x's lowest set bit. Repeating it counts set bits in time proportional to the number of set bits.

  204. Cartão 204

    Pergunta

    When does a bitmask make a useful DP state?

    Resposta

    When a small set of items is either included or excluded and future choices depend on that subset. n items give 2^n possible masks, so n must be small.

  205. Cartão 205

    Pergunta

    How do you set a bit and clear a bit without changing the others?

    Resposta

    Set bit i with mask OR (1 shifted left by i). Clear it with mask AND the bitwise complement of that single-bit mask, respecting the chosen word width.

  206. Cartão 206

    Pergunta

    What makes a memoized recurrence invalid when it depends on mutable global state omitted from the key?

    Resposta

    The same key can have different answers under different global conditions. Include the relevant state in the key or remove that dependency.

  207. Cartão 207

    Pergunta

    What condition recognizes a power of two among integers?

    Resposta

    x > 0 and x AND (x − 1) = 0. The positivity check excludes zero, which also makes the bitwise expression zero.

  208. Cartão 208

    Pergunta

    Why does bitwise complement need a width convention in language-agnostic reasoning?

    Resposta

    Complement flips all bits in the representation. Fixed-width and arbitrary-precision signed integers can produce different-looking values; mask to the intended width when necessary.

  209. Cartão 209

    Pergunta

    How can two unique values be recovered when every other value occurs twice?

    Resposta

    XOR all values, choose a set bit in that nonzero result, and partition by that bit. XOR within each group; the two unique values fall into different groups.

  210. Cartão 210

    Pergunta

    Why is memoization alone insufficient to handle cyclic state dependencies?

    Resposta

    A call may revisit an unfinished state before any value is cached. Use cycle handling or a problem-specific iterative method; ordinary DAG-style DP assumes an acyclic dependency order.

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