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This deck focuses on Developing Algorithms, giving you a quick way to review the definitions, rules, and examples that matter most for AP Computer Science Principles.
Study Developing Algorithms in AP Computer Science Principles with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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Find the result of the algorithm: Input: 3, Output: x2.
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This deck focuses on Developing Algorithms, giving you a quick way to review the definitions, rules, and examples that matter most for AP Computer Science Principles.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer:
Answer: A condition that remains true throughout the execution. Property that helps prove algorithm correctness and termination.
Answer: Queue. FIFO structure explores nodes level by level in graphs.
Answer: Last In, First Out. Stack behavior where most recent item is removed first.
Answer: A process where a function calls itself. Breaks complex problems into smaller, similar subproblems.
Answer:
Answer: To visually represent the sequence of steps in an algorithm. Shows decision points, loops, and flow direction graphically.
Answer: A method for solving complex problems by breaking them down. Stores solutions to subproblems to avoid redundant calculations.
Answer: Breadth-first search. Queue ensures level-by-level exploration of graph nodes.
Answer: Binary search. Halves search space each iteration, requiring sorted input.
Answer: To visually represent the sequence of steps in an algorithm. Shows decision points, loops, and flow direction graphically.
Answer: A high-level description of an algorithm using plain language. Uses structured English to outline algorithm logic before coding.
Answer: Input, process, output. The basic flow: receive data, manipulate it, produce results.
Answer: Binary search. Halves search space each iteration, requiring sorted input.
Answer: To repeat a block of code multiple times. Enables efficient processing of collections and repetitive tasks.
Answer: Simplifies the code for problems that have a recursive structure. Natural fit for tree traversals and mathematical expressions.
Answer: A high-level description of an algorithm using plain language. Uses structured English to outline algorithm logic before coding.
Answer: Efficiently store and retrieve data. Provides constant-time average access using hash functions.
Answer: Insertion sort. Inserts each new element into its correct sorted position.
Answer: Efficiently store and retrieve data. Provides constant-time average access using hash functions.
Answer: Stack. LIFO structure enables deep exploration before backtracking.
Answer: The amount of memory used by the algorithm. Measures additional memory required beyond input storage.
Answer: A step-by-step procedure for solving a problem. Algorithms are systematic solutions with clear steps to solve problems.
Answer: Heapsort, Mergesort, or Quicksort. All three achieve O(nlogn) average performance consistently.
Answer: Merge sort. Divide-and-conquer approach splits arrays until single elements.
Answer: Iteration. Loops and repetition structures implement iterative processes.
Answer: To denote the end of a data structure. Special marker value indicating boundary or termination condition.
Answer: Stack. LIFO structure enables deep exploration before backtracking.
Answer: Conditional statements (e.g., if-else). Allows algorithms to branch based on true/false conditions.
Answer: A technique to find solutions faster when classic methods fail. Approximation method when optimal solutions are computationally expensive.
Answer: O(nlogn). Divides array and partitions around pivot efficiently on average.
Answer: O(n2). Requires n(n−1)/2 comparisons when array is reverse sorted.
Answer: O(n2). Requires n(n−1)/2 comparisons when array is reverse sorted.
Answer: A condition that stops the recursion. Prevents infinite recursion by providing an exit condition.
Answer: To terminate the loop prematurely. Exits loop immediately when specific condition is met.
Answer: Merge sort. Divide-and-conquer approach splits arrays until single elements.
Answer: Prim's or Kruskal's algorithm. Finds minimum cost to connect all vertices in graph.
Answer: Counting sort. Counts frequency of elements rather than comparing values.
Answer: Heapsort, Mergesort, or Quicksort. All three achieve O(nlogn) average performance consistently.
Answer: It makes the locally optimal choice at each step. Chooses the best immediate option without considering future consequences.
Answer: Counting sort. Counts frequency of elements rather than comparing values.
Answer: O(n). Must check every element when target is last or absent.
Answer: It makes the locally optimal choice at each step. Chooses the best immediate option without considering future consequences.
Answer: O(1). Best case occurs when target is the middle element immediately.
Answer: Iteration. Loops and repetition structures implement iterative processes.
Answer: Simplifies the code for problems that have a recursive structure. Natural fit for tree traversals and mathematical expressions.
Answer: Stack. Used for function calls, undo operations, and backtracking.
Answer: To repeat a block of code multiple times. Enables efficient processing of collections and repetitive tasks.
Answer: Merge sort. Recursively splits problems into smaller, manageable subproblems.
Answer:
Answer: O(n). Already sorted arrays require minimal comparisons and shifts.
Answer: A condition that remains true throughout the execution. Property that helps prove algorithm correctness and termination.
Answer: To denote the end of a data structure. Special marker value indicating boundary or termination condition.
Answer:
Answer: Do-while loop. Condition checked after execution, ensuring one iteration minimum.
Answer: A method for solving complex problems by breaking them down. Stores solutions to subproblems to avoid redundant calculations.
Answer: A process where a function calls itself. Breaks complex problems into smaller, similar subproblems.
Answer: O(n). Already sorted arrays require minimal comparisons and shifts.
Answer: Breadth-first search. Queue ensures level-by-level exploration of graph nodes.
Answer: Stack. Used for function calls, undo operations, and backtracking.
Answer: Do-while loop. Condition checked after execution, ensuring one iteration minimum.
Answer: O(nlogn). Divides array and partitions around pivot efficiently on average.
Answer: A step-by-step procedure for solving a problem. Algorithms are systematic solutions with clear steps to solve problems.
Answer: Queue. FIFO structure explores nodes level by level in graphs.
Answer: Prim's or Kruskal's algorithm. Finds minimum cost to connect all vertices in graph.
Answer: Input, process, output. The basic flow: receive data, manipulate it, produce results.
Answer: Selection sort. Finds smallest element and swaps to correct position repeatedly.
Answer: O(n). Must check every element when target is last or absent.
Answer: Merge sort. Recursively splits problems into smaller, manageable subproblems.
Answer: A condition that stops the recursion. Prevents infinite recursion by providing an exit condition.
Answer: Conditional statements (e.g., if-else). Allows algorithms to branch based on true/false conditions.
Answer: Dijkstra's algorithm. Uses priority queue to find minimum distances from source.
Answer: Selection sort. Finds smallest element and swaps to correct position repeatedly.
Answer: Insertion sort. Inserts each new element into its correct sorted position.
Answer: To terminate the loop prematurely. Exits loop immediately when specific condition is met.
Answer: Dijkstra's algorithm. Uses priority queue to find minimum distances from source.
Answer: O(1). Best case occurs when target is the middle element immediately.
Answer: A technique to find solutions faster when classic methods fail. Approximation method when optimal solutions are computationally expensive.
Answer: Last In, First Out. Stack behavior where most recent item is removed first.