TY  - BOOK
AU  - Leiss, Ernst L. 
TI  - Programmer's companion to algorithm analysis
SN  - 9781584886730
U1  - 004.421 
PY  - 2007///
CY  - Boca Raton
PB  - Chapman & Hall/CRC, 
KW  - Programming (Mathematics)
KW  - Algorithms
KW  - Data processing
N1  - Includes bibliography, and index; PART 1 THE ALGORITHM SIDE: REGULARITY, PREDICTABILITY, AND ASYMPTOTICS
A Taxonomy of Algorithmic Complexity
Fundamental Assumptions Underlying Algorithmic Complexity
Examples of Complexity Analysis
PART 2 THE SOFTWARE SIDE: DISAPPOINTMENTS AND HOW TO AVOID THEM
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
PART 3 CONCLUSION
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
N2  - Until now, no other book examined the gap between the theory of algorithms and the production of software programs. Focusing on practical issues, A Programmer's Companion to Algorithm Analysis carefully details the transition from the design and analysis of an algorithm to the resulting software program.

Consisting of two main complementary parts, the book emphasizes the concrete aspects of translating an algorithm into software that should perform based on what the algorithm analysis indicated. In the first part, the author describes the idealized universe that algorithm designers inhabit while the second part outlines how this ideal can be adapted to the real world of programming. The book explores analysis techniques, including crossover points, the influence of the memory hierarchy, implications of programming language aspects, such as recursion, and problems arising from excessively high computational complexities of solution methods. It concludes with four appendices that discuss basic algorithms; memory hierarchy, virtual memory management, optimizing compilers, and garbage collection; NP-completeness and higher complexity classes; and undecidability in practical terms.

Applying the theory of algorithms to the production of software, A Programmer's Companion to Algorithm Analysis fulfills the needs of software programmers and developers as well as students by showing that with the correct algorithm, you can achieve a functional software program
ER  -