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Algorithmic Probability and Combinatorics: Ams Special Sessions on Algorithmic Probability and Combinatorics, October 5-6, 2007, Depaul University, ... Bc, Canada (Contemporary Mathematics)

American Mathematical Society, 2010

This volume contains the proceedings of the AMS Special Sessions on Algorithmic Probability and Combinatories held at DePaul University on October 5-6, 2007 and at the University of British Columbia on October 4-5, 2008.

This volume collects cutting-edge research and expository on algorithmic probability and combinatories. It...

Permutation Group Algorithms (Cambridge Tracts in Mathematics)

Cambridge University Press, 2003

Permutation group algorithms are indispensable in the proofs of many deep results, including the construction and study of sporadic finite simple groups. This work describes the theory behind permutation group algorithms, up to the most recent developments based on the classification of finite simple groups. Rigorous complexity estimates,...

Phonetic Search Methods for Large Speech Databases (SpringerBriefs in Speech Technology)

Springer, 2013

'Phonetic Search Methods for Large Databases? focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS...

Exploring Abstract Algebra With Mathematica®

Springer, 1999

This upper-division laboratory supplement for courses in abstract algebra consists of several Mathematica packages programmed as a foundation for group and ring theory. Additionally, the "user's guide" illustrates the functionality of the underlying code, while the lab portion of the book reflects the contents of the...

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition

CRC Press, 2011

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and...

Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science)

CRC Press, 2005

The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications...

The Data-Driven Project Manager: A Statistical Battle Against Project Obstacles

Apress, 2018

Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business...

Navigating Hybrid Scrum Environments: Understanding the Essentials, Avoiding the Pitfalls

Apress, 2018

Know the details of each part of Scrum so you can understand the purpose each part serves in the framework. Many books describe the “what” part of Scrum, but few explain the “why." Every part of the Scrum framework is important. You need to know the purpose behind each of the parts of the Scrum framework to reap...

Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications (Communications and Control Engineering)

Springer, 2012

The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of...

Algorithmic Number Theory, Vol. 1: Efficient Algorithms (Foundations of Computing)

MIT Press, 1996

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section...

Computational Geometry in C Second Edition (Cambridge Tracts in Theoretical Computer Science (Paperback))

Cambridge University Press, 1998

This is the newly revised and expanded edition of the popular introduction to the design and implementation of geometry algorithms arising in areas such as computer graphics, robotics, and engineering design. The second edition contains material on several new topics, such as randomized algorithms for polygon triangulation, planar point...

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

Cambridge University Press, 2007

How can linkages, pieces of paper, and polyhedra be folded? The authors present hundreds of results and over 60 unsolved 'open problems' in this comprehensive look at the mathematics of folding, with an emphasis on algorithmic or computational aspects. Folding and unfolding problems have been implicit since Albrecht Dürer in the...

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