Scientific Computing presents a broad overview of numerical methods and software for students and professionals in computational-oriented disciplines who need …
This book provides a good opportunity for computer science practitioners and researchers to get in sync with the current state-of-the-art …
Outlines theory and techniques of calculus, emphasizing strong understanding of concepts, and the basic principles of analysis. Reviews elementary and …
This book represents the refereed proceedings of the Sixth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific …
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice …
The growing impact of nonlinear science on biology and medicine is fundamentally changing our view of living organisms and disease …
This textbook explores both the theoretical foundation of the Finite Volume Method (FVM) and its applications in Computational Fluid Dynamics …
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental …
"Complex Variables and Applications, 8E" will serve, just as the earlier editions did, as a textbook for an introductory course …
This market leading text is appropriate for courses that teach statistical methods for describing and analyzing multivariate data in depts. …
This text is targeted at high school seniors who plan to enter business, science, and technology related fields, and working …
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important …
These lecture notes describe a new development in the calculus of variations called Aubry-Mather-Theory. The starting point for the theoretical …
This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to …
Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, …
This book addresses fundamental questions related to lower semicontinuity and relaxation of functionals within the unconstrained setting, mainly in L^p …
The editors and authors dedicate this book to Bernhard Korte on the occasion of his seventieth birthday. We, the editors, …
Eminently suited to classroom use as well as individual study, Roger Myerson's introductory text provides a clear and thorough examination …
The three decades which have followed the publication of Heinz Neudecker's seminal paper `Some Theorems on Matrix Differentiation with Special …
This market-leading book offers a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide …
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an …
This book provides a clear picture of the use of applied mathematics as a tool for improving the accuracy of …
This is the first book devoted entirely to Differential Evolution (DE) for global permutative-based combinatorial optimization.Since its original development, DE …
Quantum Field Theory (QFT) has proved to be the most useful strategy for the description of elementary particle interactions and …
This book constitutes the refereed proceedings of the 6th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2006, held …
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