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Scheduling Algorithms
Scheduling Algorithms
From the reviews of the fourth edition: 

"This is a book about scheduling algorithms. … The book contains eleven chapters. … Most of the chapters contain the summarized complexity results. In this edition the complexity columns have been updated. The book is completed by the bibliography which also has been updated and...

Chaos and Fractals: An Elementary Introduction
Chaos and Fractals: An Elementary Introduction

This book provides the reader with an elementary introduction to chaos and fractals, suitable for students with a background in elementary algebra, without assuming prior coursework in calculus or physics. It introduces the key phenomena of chaos - aperiodicity, sensitive dependence on initial conditions, bifurcations - via simple iterated...

Magnetic Resonance Imaging: Physical Principles and Applications (Electromagnetism)
Magnetic Resonance Imaging: Physical Principles and Applications (Electromagnetism)

This book is intended as a text/reference for students, researchers, and professors interested in physical and biomedical applications of Magnetic Resonance Imaging (MRI). Both the theoretical and practical aspects of MRI are emphasized. The book begins with a comprehensive discussion of the Nuclear Magnetic Resonance (NMR) phenomenon based...

Statistical Bioinformatics: with R
Statistical Bioinformatics: with R

Bioinformatics is an emerging field in which statistical and computational techniques are used extensively to analyze and interpret biological data obtained from high-throughput genomic technologies. Genomic technologies allow us to monitor thousands of biological processes going on inside living organisms in one snapshot, and are...

Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques (SpringerBriefs in Computer Science)
Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques (SpringerBriefs in Computer Science)
Explosive growth in the size of spatial databases has highlighted the need for spatial data analysis and spatial data mining techniques to mine the interesting but implicit spatial patterns within these large databases. Extracting useful and interesting patterns from massive geo-spatial datasets is important for many application...
Guide to Neural Computing Applications (Hodder Arnold Publication)
Guide to Neural Computing Applications (Hodder Arnold Publication)
An excellent tutorial and practical users guide - far more accessible than the competition.,Professor Alan F. Murray, University of Edinburgh, UK. ... deserves a place on the neural network practitioners bookshelf ...,Proceedings of the Institution of Electrical Engineers,

Neural networks have shown enormous potential for
...
Human Evolution: Genes, Genealogies and Phylogenies
Human Evolution: Genes, Genealogies and Phylogenies

Controversy over human evolution remains widespread. However, the human genome project and genetic sequencing of many other species have provided myriad precise and unambiguous genetic markers that establish our evolutionary relationships with other mammals. Human Evolution: Genes, Genealogies and Phylogenies identifies and explains these...

Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter...
Introduction to Integral Calculus: Systematic Studies with Engineering Applications for Beginners
Introduction to Integral Calculus: Systematic Studies with Engineering Applications for Beginners
In general, there is a perception that Calculus is an extremely difficult subject, probably because the required number of good teachers and good books are not available. We know that books cannot replace teachers, but we are of the opinion that, good books can definitely reduce dependence on teachers, and students can gain more...
Scaling, Fractals and Wavelets
Scaling, Fractals and Wavelets

Scaling is a mathematical transformation that enlarges or diminishes objects. The technique is used in a variety of areas, including finance and image processing. This book is organized around the notions of scaling phenomena and scale invariance. The various stochastic models commonly used to describe scaling ? self-similarity, long-range...

Information Flow Control for Java: A Comprehensive Approach Based on Path Conditions in Dependence Graphs
Information Flow Control for Java: A Comprehensive Approach Based on Path Conditions in Dependence Graphs

This thesis presents several precise techniques that analyze object-oriented languages for security violations, together with evaluations on Java benchmarks. The key question that will be targeted throughout this work is “Can a given statement directly or indirectly influence another statement, and if this is possible, how can this...

Principles of Model Checking
Principles of Model Checking
Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. One such technique that has emerged in the last twenty years is model checking, which systematically (and automatically) checks whether a model of a...
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