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This undergraduate introduction to computational complexity gives a wide perspective on two central issues in theoretical computer science.... Læs mere
A mixture of survey and research articles by leading experts that will be of interest to specialists in permutation patterns and other researchers in combinatorics and related... Læs mere
This comprehensive text and reference for graduate students and professionals in theoretical computer science, operations research, and discrete math offers an up-to-date, unified... Læs mere
This account of the new and exciting area of noise sensitivity of Boolean functions - in particular applied to critical percolation - is designed... Læs mere
Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and... Læs mere
In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context. Topics include direct... Læs mere
This book describes a simple and powerful method that is iterative in essence and similarly useful in a variety of settings for exact and approximate... Læs mere
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.
Intended for researchers and graduate students in theoretical computer science and mathematical logic, this volume contains accessible surveys by leading researchers... Læs mere
This succinct book prepares students for IT job interviews and coding competitions. Readers will master 128 algorithms in... Læs mere