Description
Algorithm Design introduces fundamental techniques for designing and analyzing algorithms, using concrete computational problems to develop an understanding of how algorithmic solutions are constructed and evaluated. The book covers algorithm analysis, computational tractability, graph algorithms, greedy algorithms, divide-and-conquer methods, dynamic programming, network flow, and computational intractability. It also examines approximation algorithms, local search, and randomized algorithms, with applications to problems such as stable matching, scheduling, shortest paths, minimum spanning trees, data compression, sequence alignment, network flow, and graph coloring. Through representative problems, examples, exercises, and analysis of alternative approaches, the book emphasizes both the problem-solving process and the principles underlying algorithm design. It provides a comprehensive foundation for students studying algorithms and computer science.
