The Design and Analysis of Algorithms (DAA) is a foundational area of computer science that deals with the development and study of algorithms. It covers a variety of algorithm design techniques and their efficiency analysis.
Complexity analysis involves determining the computational complexity of algorithms. Here are some key concepts:
Sorting algorithms are used to arrange elements in a particular order. Here are some common sorting algorithms:
Searching algorithms are used to retrieve information stored within some data structure. Here are some common searching algorithms:
Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. Here are some key concepts:
Greedy algorithms make locally optimal choices at each step with the hope of finding a global optimum. Here are some key concepts:
Graph algorithms are used to process graphs. Here are some common graph algorithms:
Divide and conquer is an algorithm design paradigm based on multi-branched recursion. Here are some key concepts:
Backtracking is a general algorithm for finding all (or some) solutions to computational problems, notably constraint satisfaction problems. Here are some key concepts: