Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them.

Algorithms: Design Techniques and Analysis advocates the study of algorithm design by presenting the most useful techniques and illustrating them with numerous examples — emphasizing on design techniques in problem solving rather than algorithms topics like searching and sorting. Algorithmic analysis in connection with example algorithms are explored in detail. Each technique or strategy is covered in its own chapter through numerous examples of problems and their algorithms.

Readers will be equipped with problem solving tools needed in advanced courses or research in science and engineering.

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The book is a good introductory textbook for beginners who want to learn design and analysis of algorithms from scratch. It covers all the fundamental design paradigms with ample examples and exercises, and begins at a reasonable level. For beginners, it is also easy to navigate through the book. --Mathematical Reviews Clippings

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