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cannot be eliminated by using parallel architectures and high performance computing. The novel tensor numerical methods are based on a smart;
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numerical methods designed for the solution of the multidimensional problems in scientific computing. These methods are based on the rank-structured;
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centuries the main scientific challenge concerned the mechanics of planetary dynamics, and the book describes the basic numerical methods of that;
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Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods;
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Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods;
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Scientific Computing in Chemical Engineering gives the state of the art from the point of view of the numerical mathematicians as well as;
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are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a;
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Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required;
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This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Large-Scale Scientific;
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This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on;
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algorithms and scientific computing. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. It;
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Analysis gives students the support they need to master basic numerical analysis and scientific computing. Now updated and revised, this;
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; metaheuristics for optimization problems; advanced numerical methods for scientific computing; advanced numerical techniques for PDEs and applications;
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This series of volumes aims to cover the major aspects of Numerical Analysis, serving as the basic reference work on the subject. Each;
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numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and;
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This is an introductory single-term numerical analysis text with a modern scientific computing flavor. It offers an immediate immersion;
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This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Large-Scale Scientific;
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Numerical Computing with MATLAB is a lively textbook for an introductory course in numerical methods, MATLAB and technical computing.;
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methods is given. Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas;
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Research and development in scientific computing and computational science has considerably increased the power of numerical simulation;
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The book provides an introduction of very recent results about the tensors and mainly focuses on the authors' work and perspective. A;
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The book provides an introduction of very recent results about the tensors and mainly focuses on the authors' work and perspective. A;
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Special numerical techniques are already needed to deal with n x n matrices for large n. Tensor data are of size n x n x...x n=nd, where nd;
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This proceedings volume highlights a selection of papers presented at the 7th International Conference on High Performance Scientific;
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used for their solution. It is ideal for anyone who needs an understanding of numerical mathematics or scientific computing - whether;
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problem: it reviews the numerical renormalization group and then focuses on tensor network methods, from basic concepts to gauge invariant ones;
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