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High Performance Computing for Computational Science -- VECPAR 2014

Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. The 25 papers presented were carefully reviewed;

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Fast Solvers for Mesh-Based Computations

-diagonal matrices resulting from one-dimensional mesh-based methods, through multi-diagonal or block-diagonal matrices, and ending with general;

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Applied Iterative Methods

applicable to partitioning the linear system into a “red/black” block form, adaptive computational algorithms for the successive overrelaxation (SOR;

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Introduction to Computational Linear Algebra

Teach Your Students Both the Mathematics of Numerical Methods and the Art of Computer Programming Introduction to Computational Linear;

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Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications

of efficient numerical methods, for example algorithms for matrices with low-rank block structure, matrices with decay, and structured tensor;

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High-Dimensional Covariance Estimation

Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect;

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Computational Methods for General Sparse Matrices

; therefore we may be sense'. able to do something with it. Eric T. Bell 0. Heaviside Mathematics is a tool for thought. A highly necessary tool in a;

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Computational Methods in Physics

retrospective and recovery problems for partial differential equations. The revised text now includes an introduction to sparse matrix methods, the;

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Computational Methods in Physics

retrospective and recovery problems for partial differential equations. The revised text now includes an introduction to sparse matrix methods, the;

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Sparse Grids and Applications Miami 2016

Sparse grids are a popular tool for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes;

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Computational Methods for Electric Power Systems

Computational Methods for Electric Power Systems introduces computational methods that form the basis of many analytical studies in power;

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Computational Methods for Electric Power Systems

Computational Methods for Electric Power Systems introduces computational methods that form the basis of many analytical studies in power;

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Matrix Preconditioning Techniques and Applications

Preconditioning techniques have emerged as an essential part of successful and efficient iterative solutions of matrices. Ke Chen's book;

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Matrix Computations and Semiseparable Matrices - Eigenvalve and Singular Value Methods V2

The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and;

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Harry Markowitz

, sparse matrices and the SIMSCRIPT computer language. While Dr Markowitz is well-known for his work on portfolio theory, his work on sparse;

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Direct Methods for Sparse Matrices

solved were it not for the fact that the matrices contain relatively few non-zero entries. Only comparatively recently, in the last fifteen years;

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Iterative Solution of Large Sparse Systems of Equations

ignored in other literature. The necessary amount of work increases dramatically with the size of systems, so one has to search for algorithms;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications;

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A Workout in Computational Finance

A comprehensive introduction to various numerical methods used in computational finance today Quantitative skills are a prerequisite for;

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Matrix Computations and Semiseparable Matrices V 1

background and introduces concepts and definitions concerning structured rank matrices. The second offers some traditional methods for solving;

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Optimization with Sparsity-Inducing Penalties

. Optimization with Sparsity-Inducing Penalties presents optimization tools and techniques dedicated to such sparsity-inducing penalties from a general;

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Genomic Perl

This introduction to computational molecular biology will help programmers and biologists learn the skills needed to start work in this;

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Nonnegative Matrices, Positive Operators, And Applications

Nonnegative matrices and positive operators are widely applied in science, engineering, and technology. This book provides the basic theory;

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Linear Multivariable Control

approaches for regular and singular systems appear as special cases of a general theory covering the wider class of PMDs of linear systems. Among;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

in bioinformatics, biostatistics, systems and synthetic biology, medical informatics, computational approaches to life sciences in general.;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Meeting on Computational Intelligence;

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Hierarchical Matrices

of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion;

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