TAILIEUCHUNG - The Algorithm Design Manual Next: Preface Up Main PageThe Algorithm Design ManualSteven

The first section introduces the basic concepts of number systems, storage of numerical data, and machine arithmetic. Chapters on the Intel math unit architecture, data conversions, and the details of math unit programming establish a framework for developing routines in engineering and scientific code. The second part, entitled Application Development, covers the implementation of a C++ program and flowcharting. A tutorial on Windows programming supplies skills that allow readers to create professional quality programs. The section on project engineering examines the software engineering field, describing its common qualities, principles, and paradigms. This is followed by a discussion on the description. | The Algorithm Design Manual Next 1 Up Previous Contents 1 Index CD Home 1 Lecture Notes 1 Algorithms Repository Next Preface Up Main Page The Algorithm Design Manual Steven S. Skiena Department of Computer Science State University of New York Stony Brook Ny 11794-4400 algorith@ Copyright 1997 by Springer-Verlag New York Contents Techniques o Introduction to Algorithms o Data Structures and Sorting o Breaking Problems Down o Graph Algorithms o Combinatorial Search and Heuristic Methods o Intractable Problems and Approximations o How to Design Algorithms Resources o A Catalog of Algorithmic Problems o Algorithmic Resources References Index About this document . file E BOOK BOOK 1 of 2 19 1 2003 1 27 29 The Algorithm Design Manual Algorithms Mon Jun 2 23 33 50 EDT1997 file E BOOK BOOK 2 of 2 19 1 2003 1 27 30 Preface Previous Contents Index 1 CD Home 1 Lecture Notes Next Acknowledgments Up The Algorithm Design Manual Previous The Algorithm Design Manual Preface Most of the professional programmers that I ve encountered are not well prepared to tackle algorithm design problems. This is a pity because the techniques of algorithm design form one of the core practical technologies of computer science. Designing correct efficient and implementable algorithms for real-world problems is a tricky business because the successful algorithm designer needs access to two distinct bodies of knowledge Techniques - Good algorithm designers understand several fundamental algorithm design techniques including data structures dynamic programming depth-first search backtracking and heuristics. Perhaps the single most important design technique is modeling the art of abstracting a messy real-world application into a clean problem suitable for algorithmic attack. Resources - Good algorithm designers stand on the shoulders of giants. Rather than laboring from scratch to produce a new algorithm for every task they know how to find out what is known about a .

• Cơ khí - Chế tạo máy
• basic concepts of number systems
• storage of numerical data
• and machine arithmetic
• Intel math unit architecture
• data conversions
• software engineering field