Untitled Deck Flashcards
Brute Force Algorithm
A straightforward approach that exhaustively tries all possible solutions, suitable for small problem instances but may become impractical for larger ones due to its high time complexity.
Recursive Algorithm
A method that breaks a problem into smaller, similar subproblems and repeatedly applies itself to solve them until reaching a base case, making it effective for tasks with recursive structures.
Encryption Algorithm
Utilized to transform data into a secure, unreadable form using cryptographic techniques, ensuring confidentiality and privacy in digital communications and transactions.
Backtracking Algorithm
A trial-and-error technique used to explore potential solutions by undoing choices when they lead to an incorrect outcome, commonly employed in puzzles and optimization problems.
Searching Algorithm
Designed to find a specific target within a dataset, enabling efficient retrieval of information from sorted or unsorted collections.
Sorting Algorithm
Aimed at arranging elements in a specific order, like numerical or alphabetical, to enhance data organization and retrieval.
Hashing Algorithm
Converts data into a fixed-size hash value, enabling rapid data access and retrieval in hash tables, commonly used in databases and password storage.
Divide and Conquer Algorithm
Breaks a complex problem into smaller subproblems, solves them independently, and then combines their solutions to address the original problem effectively.
Greedy Algorithm
Makes locally optimal choices at each step in the hope of finding a global optimum, useful for optimization problems but may not always lead to the best solution.
Dynamic Programming Algorithm
Stores and reuses intermediate results to avoid redundant computations, enhancing the efficiency of solving complex problems.
Randomized Algorithm
Utilizes randomness in its steps to achieve a solution, often used in situations where an approximate or probabilistic answer suffices.
