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Computer Solution of Large Linear Systems (Volume 28) (Studies in Mathematics and its Applications, Volume 28) - Hardcover
Synopsis
This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are considered are variants of Gaussian elimination and fast solvers for separable partial differential equations in rectangular domains. The book reviews the classical iterative methods like Jacobi, Gauss-Seidel and alternating directions algorithms. A particular emphasis is put on the conjugate gradient as well as conjugate gradient -like methods for non symmetric problems. Most efficient preconditioners used to speed up convergence are studied. A chapter is devoted to the multigrid method and the book ends with domain decomposition algorithms that are well suited for solving linear systems on parallel computers.
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2000 ...will certainly become the standard book for linear system solvers. -- U. Langer, Zentralblatt fur Mathematik
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Computer Solution of Large Linear Systems (Volume 28) (Studies in Mathematics and its Applications, Volume 28)
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Computer Solution of Large Linear Systems (Volume 28) (Studies in Mathematics & Its Applications, Volume 28) [Hardcover] Meurant, Gerard
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COMPUTER SOLUTIONS LGE LINEAR SYST
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Computer Solution of Large Linear Systems (Volume 28) (Studies in Mathematics and its Applications, Volume 28)
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Computer Solution of Large Linear Systems
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Elsevier Science and Technology, US, 1999
ISBN 10: 044450169X
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Hardback. Condition: New. This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are considered are variants of Gaussian elimination and fast solvers for separable partial differential equations in rectangular domains. The book reviews the classical iterative methods like Jacobi, Gauss-Seidel and alternating directions algorithms. A particular emphasis is put on the conjugate gradient as well as conjugate gradient -like methods for non symmetric problems. Most efficient preconditioners used to speed up convergence are studied. A chapter is devoted to the multigrid method and the book ends with domain decomposition algorithms that are well suited for solving linear systems on parallel computers. Seller Inventory # LU-9780444501691
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Gebunden. Condition: New. This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are consi. Seller Inventory # 594685143
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COMPUTER SOLUTIONS LGE LINEAR SYST
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Buch. Condition: Neu. Neuware - This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are considered are variants of Gaussian elimination and fast solvers for separable partial differential equations in rectangular domains. The book reviews the classical iterative methods like Jacobi, Gauss-Seidel and alternating directions algorithms. A particular emphasis is put on the conjugate gradient as well as conjugate gradient -like methods for non symmetric problems. Most efficient preconditioners used to speed up convergence are studied. A chapter is devoted to the multigrid method and the book ends with domain decomposition algorithms that are well suited for solving linear systems on parallel computers. Seller Inventory # 9780444501691
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Computer Solution of Large Linear Systems
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ISBN 10: 044450169X
ISBN 13: 9780444501691
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Hardback. Condition: New. This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are considered are variants of Gaussian elimination and fast solvers for separable partial differential equations in rectangular domains. The book reviews the classical iterative methods like Jacobi, Gauss-Seidel and alternating directions algorithms. A particular emphasis is put on the conjugate gradient as well as conjugate gradient -like methods for non symmetric problems. Most efficient preconditioners used to speed up convergence are studied. A chapter is devoted to the multigrid method and the book ends with domain decomposition algorithms that are well suited for solving linear systems on parallel computers. Seller Inventory # LU-9780444501691
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