Algorithm Design Analysis And Implementation


Algorithm Design Analysis And Implementation pdf

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Algorithm Design, Analysis and Implementation


Algorithm Design, Analysis and Implementation

Author: Seyed H. Roosta

language: en

Publisher:

Release Date: 2005


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Algorithm Design, Analysis and Implementation is unique in its coverage of both approaches to presenting algorithms: according to problem type and according to design technique. This book explores the design and implementation of algorithms in sufficient detail to provide an understanding of the relationship between design concepts and implementation, equipping readers with the basic tools needed to develop their own algorithms, in whatever field of application they may require. From an instructor's perspective, Algorithm Design, Analysis and Implementation covers a wide variety of topics, including new algorithms such as parallel, probabilistic, genetic, geometric, and approximate. The material can be easily adapted for various advanced-level courses on the structure, design, or theory of algorithms by selecting applicable chapters. This book is also highly suitable as a reference for professionals in both academia and industry.

Design, Analysis, and Implementation of Parallel External Sorting Algorithms


Design, Analysis, and Implementation of Parallel External Sorting Algorithms

Author: Dina Bitton Friedland

language: en

Publisher:

Release Date: 1981


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Algorithms: Design Techniques And Analysis (Second Edition)


Algorithms: Design Techniques And Analysis (Second Edition)

Author: M H Alsuwaiyel

language: en

Publisher: World Scientific

Release Date: 2021-11-08


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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 required the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them.This book presents a design thinking approach to problem solving in computing — by first using algorithmic analysis to study the specifications of the problem, before mapping the problem on to data structures, then on to the situatable algorithms. Each technique or strategy is covered in its own chapter supported by numerous examples of problems and their algorithms. The new edition includes a comprehensive chapter on parallel algorithms, and many enhancements.