Greedy Algorithms Explained with Example | Class 11 Computer Science | 11th Computer | Ch 3 | Lec 8

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3.5 Algorithm Design Techniques Algorithm design is a critical aspect of problem-solving in computer science. It involves creating systematic methods to solve problems efficiently and effectively. There are several well-known algorithm design techniques that help in developing robust algorithms for a variety of computational problems.
3.5.2 Greedy Algorithms
Greedy algorithms work by making a sequence of choices, each of which is locally optimal, with the hope that these choices will lead to a globally optimal solution. The greedy approach is often used when a problem has an optimal substructure, meaning that the optimal solution to the problem can be constructed from optimal solutions touts sub problems.
Example: A classic example of a greedy algorithm is the Coin Change problem. Suppose you have coins of different denominations and you want to make a specific amount with the fewest coins possible. The greedy algorithm would involve choosing the largest denomination coin that does not exceed the remaining amount, then subtracting that value and repeating the process until the desired amount is achieved. Greedy algorithms are often faster and easier to implement than other techniques, but they don't always guarantee the optimal solution for every problem. Always analyze the problem to ensure that a greedy approach is appropriate.

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Computer Science 11th class
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By Sir Shahbaz Ali
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