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Graph theory --- Sparse matrices --- Congresses. --- Sparse matrices. --- Matrices éparses. --- Analyse numérique. --- Numerical analysis --- Graphes, Théorie des --- Analyse numérique --- Graphes, Théorie des --- Matrices éparses.

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Sparse matrices --- Matrices éparses --- Data processing --- Informatique --- -519.6 --- 681.3*G13 --- Spare matrix techniques --- Matrices --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Data processing. --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Matrices éparses --- 519.6 --- Sparse matrices - Data processing

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Mathematical control systems --- Numerical analysis --- Planning (firm) --- System analysis --- Equations, Simultaneous --- Sparse matrices --- Data processing. --- -Sparse matrices --- -System analysis --- -519.6 --- 681.3*G13 --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Spare matrix techniques --- Matrices --- Simultaneous equations --- Data processing --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Analyse de systèmes --- Matrices éparses --- Informatique --- Matrices éparses --- 519.6 --- Matrices éparses.

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Preconditioning techniques have emerged as an essential part of successful and efficient iterative solutions of matrices. Ke Chen's book offers a comprehensive introduction to these methods. A vast range of explicit and implicit sparse preconditioners are covered, including the conjugate gradient, multi-level and fast multi-pole methods, matrix and operator splitting, fast Fourier and wavelet transforms, incomplete LU and domain decomposition, Schur complements and approximate inverses. In addition, aspects of parallel realization using the MPI are discussed. Very much a users-guide, the book provides insight to the use of these techniques in areas such as acoustic wave scattering, image restoration and bifurcation problems in electrical power stations. Supporting MATLAB files are available from the Web to support and develop readers' understanding, and provide stimulus for further study. Pitched at graduate level, the book is intended to serve as a useful guide and reference for students, computational practitioners, engineers and researchers alike.

Matrices --- Differential equations --- Iterative methods (Mathematics) --- Integral equations --- Sparse matrices --- Equations différentielles --- Itération (Mathématiques) --- Equations intégrales --- Matrices éparses --- Numerical solutions --- Data processing --- Solutions numériques --- Informatique --- data processing --- Spare matrix techniques --- Equations, Integral --- Functional equations --- Functional analysis --- Iteration (Mathematics) --- Numerical analysis --- Data processing. --- 517.91 Differential equations --- Equations différentielles --- Itération (Mathématiques) --- Equations intégrales --- Matrices éparses --- Solutions numériques --- 517.91 --- Numerical solutions&delete& --- Sparse matrices - data processing --- Differential equations - Numerical solutions - Data processing --- Iterative methods (Mathematics) - Data processing --- Integral equations - Numerical solutions - Data processing

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Numerical solutions of algebraic equations --- Sparse matrices --- FORTRAN (Computer program language) --- Matrices éparses --- FORTRAN (Langage de programmation) --- Data processing. --- Informatique --- data processing --- #TCPW N2.0 --- 519.6 --- 681.3*G --- 681.3*G13 --- Computational mathematics. Numerical analysis. Computer programming --- Mathematics of computing --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 681.3*G Mathematics of computing --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Matrices éparses --- Spare matrix techniques --- Matrices --- Formula Translation (Computer program language) --- Programming languages (Electronic computers) --- Data processing --- Sparse matrices - data processing