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Numerical solutions of algebraic equations --- Iterative methods (Mathematics) --- Equations --- Numerical solutions. --- -Iterative methods (Mathematics) --- 519.6 --- 681.3*G13 --- Iteration (Mathematics) --- Numerical analysis --- Algebra --- Mathematics --- Numerical solutions --- 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 --- Graphic methods --- Iterative methods (Mathematics). --- Algebras, Linear --- Algèbre linéaire --- Analyse numérique --- Itération (mathématiques) --- Algèbre linéaire. --- Analyse numérique. --- Equations - Numerical solutions. --- Itération (mathématiques) --- Algèbre linéaire --- Analyse numérique.
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Numerical approximation theory --- Mathematical statistics --- Least squares --- Data processing --- Methode der kleinsten Quadrate --- #TELE:SISTA --- 519.6 --- 681.3*G13 --- 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 --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Acqui 2006
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Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is explored in this book. The papers discuss algorithms and implementation architectures for computing the SVD, as well as a variety of applications such as systems and signal modeling and detection. The publication presents a number of keynote papers, highlighting recent developments in the field, namely large scale SVD applications, isospectral matrix flows, Riemannian SVD and consistent signal reconstruction. It also features a translation of a historical paper by Eugenio Beltrami, containing on
Signal processing --- Decomposition (Mathematics) --- Digital techniques --- Congresses --- -Signal processing --- -Academic collection --- #TELE:SISTA --- 519.6 --- 681.3*G13 --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Mathematics --- Probabilities --- -Congresses --- Computational mathematics. Numerical analysis. Computer programming --- 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 --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Academic collection --- Digital techniques&delete& --- Decomposition (Mathematics) - Congresses. --- Signal processing - Digital techniques - Congresses --- Decomposition (Mathematics) - Congresses --- Signals --- Processing
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Numerical solutions of algebraic equations --- Iterative methods (Mathematics) --- Itération (Mathématiques) --- 519.6 --- 681.3*G13 --- 681.3*G15 --- Iteration (Mathematics) --- Numerical analysis --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Roots of nonlinear equations: convergence; error analysis; iterative methods;polynomials (Numerical analysis) --- Iterative methods (Mathematics). --- 681.3*G15 Roots of nonlinear equations: convergence; error analysis; iterative methods;polynomials (Numerical analysis) --- 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 --- Itération (Mathématiques) --- Algebras, Linear --- Algèbre linéaire --- Analyse numérique --- Itération (mathématiques) --- Algèbre linéaire. --- Analyse numérique. --- Itération (mathématiques) --- Algèbre linéaire --- Analyse numérique.
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Algebras, Linear --- -FORTRAN (Computer program language) --- Subroutines (Computer programs) --- Data processing --- 519.6 --- 681.3*G13 --- 681.3*G4 --- Functions (Computer programs) --- Methods (Computer programs) --- Procedures (Computer programs) --- Routines (Computer programs) --- Subprograms (Computer programs) --- Computer programs --- Formula Translation (Computer program language) --- Programming languages (Electronic computers) --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Mathematical software: algorithm analysis; certification and testing; efficiency; portability; reliability and robustness; verification --- 681.3*G4 Mathematical software: algorithm analysis; certification and testing; efficiency; portability; reliability and robustness; verification --- 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 --- FORTRAN (Computer program language) --- LAPACK. --- ScaLAPACK --- Scalable linear albegra package --- Scalable LAPACK --- Algebras, Linear - - Data processing
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