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'The story told here is instrumental to your own' - Jared Lanier 'Timely, erudite, important' - Ayad Akhtar What happens when our cultural and artistic lives are dictated to us by an algorithm?
Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random... 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
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 wide-ranging textbook on multimedia data management gives a unified perspective on retrieval efficiency and effectiveness. It presents data structures and... Læs mere
This groundbreaking, yet accessible book contains original results on the interaction between graph theory and computational... 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.
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
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
Integer linear programming is a versatile modeling and optimization technique with potential to transform... Læs mere
An extensive and authoritative introduction to property testing, the study of super-fast algorithms for the structural analysis of large quantities of data in order to... Læs mere
This self-contained introduction to kernelization, a rapidly developing area of preprocessing analysis, is for researchers, professionals, and graduate... Læs mere