13. Implementation of Algorithms to Solve Problems
Algorithms are systematic procedures designed to solve specific problems efficiently through a sequence of well-defined steps. They play a crucial role in computer science by ensuring optimal solutions, scalability, and effective resource management. Various types of algorithms, including sorting, searching, and dynamic programming, illustrate their practical applications in problem-solving and software development.
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What we have learnt
- An algorithm is a step-by-step process for solving a problem efficiently.
- Sorting algorithms help in arranging data in a specific order.
- Searching algorithms assist in finding specific elements in a list.
- Dynamic Programming optimizes computation by storing sub-problems' results.
Key Concepts
- -- Algorithm
- A step-by-step procedure or formula for solving a problem.
- -- Brute Force Algorithm
- An algorithm that tries all possible solutions to find the best one.
- -- Divide and Conquer
- An algorithm that breaks a problem into smaller sub-problems and solves each recursively.
- -- Greedy Algorithm
- An algorithm that builds solutions step by step, making the best choice at each stage.
- -- Dynamic Programming
- A method that solves problems by breaking them into overlapping sub-problems and storing the results.
- -- Time Complexity
- A computational estimation of the time an algorithm takes to complete based on the input size.
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