Advances in High Performance Computing and Computational Sciences
The contributions range from computer science, mathematics and high performance computing to applications in computational ...
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Bayesian Computation with R : Introduces Bayesian modeling by use of computation using the R language
R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
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Computational Many-Particle Physics
Complicated many-particle problems abound in nature and in research alike. Plasma physics, statistical physics and condensed ...
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Computational Methods in Transport
Based on a series of lectures given in the Granlibakken workshop was devoted to providing a forum, where computational transport ...
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Computational Methods in Transport
Based on a series of lectures given in the Granlibakken workshop was devoted to providing a forum, where computational transport ...
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Computer Algebra Recipes
Computer algebra systems are revolutionizing the teaching, the learning, and the exploration of science. Not only can students ...
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Computer Algebra Recipes
Computer algebra systems are revolutionizing the teaching, the learning, and the exploration of science. Not only can students ...
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Finite Mixture and Markov Switching Models
The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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Finite Mixture and Markov Switching Models
The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
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Global Optimization (vol. # 84)
Global optimization describe the theory of the algorithms, whereas a given implementation’s quality never depends exclusively ...
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Global Optimization (vol. # 84)
Global optimization describe the theory of the algorithms, whereas a given implementation’s quality never depends exclusively ...
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Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
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Monte Carlo and Quasi-Monte Carlo Methods 2004
The proceedings include many aspects of Monte Carlo methods, quasi-Monte Carlo methods, and the numerical solution of partial ...
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Monte Carlo and Quasi-Monte Carlo Methods 2004
The proceedings include many aspects of Monte Carlo methods, quasi-Monte Carlo methods, and the numerical solution of partial ...
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Monte Carlo and Quasi-Monte Carlo Methods 2006
This book represents the refereed proceedings of the Seventh International Conference on Monte Carlo and Quasi-Monte Carlo ...
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Premiers pas en simulation = First steps in simulation
Why simulation techniques? Simulation methods, designed for use in statistics and operations research, have experienced and ...
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Quantum Computation in Solid State Systems
The aim of Quantum Computation in Solid State Systems is to report on recent theoretical and experimental results on the ...
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Randomized Algorithms for Analysis and Control of Uncertain Systems
The main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and ...
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Rugged Free Energy Landscapes : Common Computational Approaches to Spin Glasses, Structural Glasses and Biological Macromolecules
This collection of lectures and tutorial reviews by renowned experts focusses on the common computational approaches in use ...
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Slow Rarefied Flows
The book presents the mathematical tools used to deal with problems related to slow rarefied flows, with particular attention ...
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