A Programmer's Companion to Algorithm Analysis

ISBN-13: 9781138402256 / Angielski / Twarda / 2017

LEISS

Opis

Explains the fundamental differences between the computational model assumed for algorithms and the real architectures in which programs execute. This book highlights the pitfalls that can occur when implementing an algorithm as software and offers suggestions to solve these problems.

Recenzje

"… an interesting book which addresses some of the issues which inhibit the development of perfect-world software. … In my opinion, this book should be on the bookshelf of anyone aspiring to become a good programmer. … this book would be a good auxiliary book in courses on algorithms, especially those intended for students intent on becoming software developers. Similarly with an advanced programming-type course. The book also would work well for self-study."
—Dean Kelley, SIGACT News, Vol. 40, No. 2

Spis treści

A Taxonomy of Algorithmic Complexity. Fundamental Assumptions Underlying Algorithmic Complexity. Examples of Complexity Analysis. Sources of Disappointments. Implications of Nonuniform Memory for Software. Implications of Compiler and Systems Issues for Software. Implicit Assumptions. Implications of the Finiteness of the Representation of Numbers. Asymptotic Complexities and the Selection of Algorithms. Infeasibility and Undecidability: Implications for Software Development. Appendix I: Algorithms Every Programmer Should Know. Appendix II: Overview of Systems Implicated in Program Analysis. Appendix III: NP-Completeness and Higher Complexity Classes. Appendix IV: Review of Undecidability.Bibliography. Index.

O autorze

Ernst L. Leiss