Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications

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A01=Daniele Bertaccini
A01=Fabio Durastante
advanced linear algebra techniques
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algebra
Author_Daniele Bertaccini
Author_Fabio Durastante
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backward
Backward Error
basic
BLAS
Category1=Non-Fiction
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Category=PBW
Category=UB
Category=UY
computational mathematics
COP=United States
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direct solvers comparison
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Fabio Durastante
finite
Finite Precision Arithmetic
Hilbert Matrix
Inherent Error
Krylov subspace methods
Language_English
matrix
matrix factorization
Matrix Vector Product
numerical analysis
Numerical Linear Algebra
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PDE Model
precision
Price_€100 and above
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QR Factorization
scientific computing
softlaunch
Sparse Matrices
Sparse Matrix
Sparse Matrix Vector Product
subroutine
vector

Product details

  • ISBN 9781498764162
  • Weight: 680g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 Feb 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.

The solution of large and sparse linear systems is the most time-consuming part for most of the scientific computing simulations. Indeed, mathematical models become more and more accurate by including a greater volume of data, but this requires the solution of larger and harder algebraic systems. In recent years, research has focused on the efficient solution of large sparse and/or structured systems generated by the discretization of numerical models by using iterative solvers.

Daniele Bertaccini, Ph.D is currently a professor at Università di Roma Tor Vergata. Fabio Durastante, Ph.D is a postdoctoral researcher. Their research interests are mainly the large and sparse and/or structured linear systems arising in the numerical solution of partial and fractional differential equations with their applications in fluid dynamics, optimization and imaging.

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