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This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered.
Shimon Even's Graph Algorithms, published in 1979, was a seminal introductory textbook. This thoroughly revised second edition, with a foreword by Richard M. Karp and notes by Andrew V.... Læs mere
Intended for researchers and graduate students in theoretical computer science and mathematical logic, this volume contains accessible surveys by leading researchers... Læs mere
A comprehensive introduction to algebraic geometry and representation theory written by a leading expert in the field. For graduate students and researchers in computer... Læs mere
A useful guide explaining the theory and algorithms of finite element methods, with a focus on Sobolov spaces, finite element spaces, biharmonic equations, and parabolic problems. Numerous solved examples and mathematical theorems make it useful for graduate students.
This groundbreaking, yet accessible book contains original results on the interaction between graph theory and computational... Læs mere
A valuable text in the field of computer science and engineering, covering fundamental concepts and recent advancements. To help the reader to design/redesign algorithms for their requirements rather than be overawed by the challenges of a new framework.
This succinct book prepares students for IT job interviews and coding competitions. Readers will master 128 algorithms in... Læs mere
This volume surveys many exciting recent developments in the field of algorithmic randomness and its interactions with other areas of mathematics, presenting... Læs mere