A quantitative study of the efficiency of computer methods requires an in-depth understanding of both mathematics and computer science. This monograph, derived from an advanced computer science course at Stanford University, builds on the fundamentals of combinatorial analysis and complex variable t
Mathematics for the analysis of algorithms
β Scribed by Greene D.H.
- Year
- 1990
- Tongue
- English
- Leaves
- 139
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A quantitative study of the efficiency of computer methods requires an in-depth understanding of both mathematics and computer science. This monograph, derived from an advanced computer science course at Stanford University, builds on the fundamentals of combinatorial analysis and complex variable t
This monograph collects some fundamental mathematical techniques that are required for the analysis of algorithms. It builds on the fundamentals of combinatorial analysis and complex variable theory to present many of the major paradigms used in the precise analysis of algorithms, emphasizing the mo
<p><P>A quantitative study of the efficiency of computer methods requires an in-depth understanding of both mathematics and computer science. This monograph, derived from an advanced computer science course at Stanford University, builds on the fundamentals of combinatorial analysis and complex vari
A quantitative study of the efficiency of computer methods requires an in-depth understanding of both mathematics and computer science. This monograph, derived from an advanced computer science course at Stanford University, builds on the fundamentals of combinatorial analysis and complex variable t
This book is a gem of problem sets AND solutions, in the field of algorithms. The problems were from actual examinations given at Stanford in various computer science classes. About half the book is good descriptive text about the ideas that the problems probe. Certainly, well written, as befits Knu