Lanczos algorithms large symmetric (47 résultats)

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Etat : New. Series: Progress in Scientific Computing. Num Pages: 500 pages, biography. BIC Classification: PBC; PBCN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 777. . 2012. Softcover reprint of the original 1st ed. 1985. Paperback. . . . .

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Hardcover. First Edition (1985), unstated. EX-INSTITUTIONAL LIBRARY copy, showing the usual marks and treatments. Else, Very Good: shows considerable wear to the extremities, but only very mild rubbing to the panels; the very slightest spine lean.The binding is secure; the text is clean. Free of creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. A solid reading copy, structurally sound and tightly bound, showing moderate wear and minor flaws. NOT a Remainder or Book-Club. 8vo. (9 x 6 x 1.25 inches). 500 pages. Language: English. Weight: 2 pounds, 2.4 ounces. Progress in Scientific Computing Series: (Book 4). First Edition (1985), unstated. Hardback: Laminate Boards.…

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Etat : New. Series: Progress in Scientific Computing. Num Pages: 500 pages, biography. BIC Classification: PBC; PBCN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 777. . 2012. Softcover reprint of the original 1st ed. 1985. Paperback. . . . . Books ship from the US and Ireland.…

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Energy levels, resonanees, vibrations, feature extraetion, faetor analysis - the names vary from discipline to diseipline; however, all involve eigenvalue/eigenveetor eomputations. An engineer or physicist who is modeling a physieal proeess, strueture, or deviee is eonstrained to seleet a model for whieh the subsequently-required eomputations ean be performed. This eonstraint often leads to redueed order or redueed size models whieh may or may not preserve all of the important eharaeteristies of the system being modeled. Ideally, the modeler should not be foreed to make such apriori reduetions. It is our intention to provide here proeedures wh ich will allow the direct and suceessful solution of many large 'symmetrie' eigenvalue problems, so that at least in problems where the computations are of this type there will be no need for model reduetion. Matrix eigenelement eomputations can be c1assified as smalI, medium, or large seale, in terms of their relative degrees of difficulty as measured by the amount of computer storage and time required to eomplete the desired eomputations. A matrix eigenvalue problem is said to be sm all scale if the given matrix has order smaller than 100. Well-documented and reliable FORTRAN pro grams exist for small scale eigenelement computations, see in particular ElS PACK [1976,1977]. Typically those programs explicitly trans form the given matrix into a simpler canonieal form. The eigenelement eomputations are then performed on the canonical form.…

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 1 Lanczos Procedures.- 1.1 Introduction.- 1.2 What are Lanczos Procedures .- 1.3 Comments and Disclaimers.- 2 Real Symmetric Matrices.- 2.1 Introduction.- 2.2 Documentation for the Programs in Chapters 2,3,4,5.- 2.3 Main Program, Eigenvalue Computations.- 2.4 Main Program, Eigenvector Computations.- 2.5 LANCZS and Sample Matrix-Vector Multiply Subroutines.- 2.6 Other Subroutines used by the Programs in Chapters 2,3,4,5.- 2.7 Optional Preprocessing Program, File Definitions, Sample Input/Output Files.- 3 Hermitian Matrices.- 3.1 Introduction.- 3.2 Main Program, Eigenvalue Computations.- 3.3 Main Program, Eigenvector Computations.- 3.4 LANCZS and Sample Matrix-Vector Multiply Subroutines.- 3.5 File Definitions and Sample Input Files.- 4 Factored Inverses of Real, Symmetric Matrices.- 4.1 Introduction.- 4.2 Main Program, Eigenvalue Computations.- 4.3 Main Program, Eigenvector Computations.- 4.4 LANCZS and Sample Matrix-Vector Solve Subroutines.- 4.5 Optional Preprocessing Programs for Chapters 4,5,9.- 4.6 File Definitions and Sample Input Files.- 5 Real, Symmetric Generalized Problems.- 5.1 Introduction.- 5.2 Main Program, Eigenvalue Computations.- 5.3 Main Program, Eigenvector Computations.- 5.4 LANCZS and Sample Matrix-Vector Multiply and Solve Subroutines.- 5.5 File Definitions and Sample Input Files.- 6 Real Rectangular Matrices.- 6.1 Introduction.- 6.2 Documentation for the Programs in Chapter 6.- 6.3 Main Program, Singular Value Computations.- 6.4 Main Program, Singular Vector Computations.- 6.5 LANCZS and Sample Matrix-Vector Multiply Subroutines.- 6.6 Other Subroutines used by the Programs in Chapter 6.- 6.7 Optional Preprocessing Program, File Definitions, and Sample Input Files.- 7 Nondefective, Complex Symmetric Matrices.- 7.1 Introduction.- 7.2 Documentation for the Programs in Chapter 7.- 7.3 Main Program, Eigenvalue Computations.- 7.4 Main Program, Eigenvector Computations.- 7.5 LANCZS and Sample Matrix-Vector Multiply Subroutines.- 7.6 Other Subroutines used by the Programs in Chapter 7.- 7.7 Optional Preprocessing Program, File Definitions, and Sample Input Files.- 8 Real Symmetric Matrices, Block Lanczos Code.- 8.1 Introduction to Chapter 8.- 8.2 Documentation for the Programs in Chapters 8 and 9.- 8.3 Main Program, Eigenvalue and Eigenvector Computations.- 8.4 Sample Matrix-Vector Multiply Subroutines.- 8.5 Other Subroutines used by the Programs in Chapters 8 and 9 462 8.6. File Definitions and Sample Input Files.- 9 Factored Inverses, Real Symmetric Matrices, Block Lanczos Code.- 9.1 Introduction to Chapter 9.- 9.2 Main Program, Eigenvalue and Eigenvector Computations.- 9.3 Sample Matrix-Vector Solve Subroutines.- 9.4 File Definitions and Sample Input File.- References.- Index to Fortran Programs.…

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