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  • 1
    UID:
    almahu_BV010290651
    Format: V, 144 S. : , graph. Darst.
    Edition: [Mikrofiche-Ausg.]
    Edition: Mikroform-Ausgabe 1 Mikrofiche : 48x Mikrofiche-Ausg.:
    Note: Karlsruhe, Univ., Diss., 1995
    Additional Edition: Reproduktion von Hocks, Matthias Innere-Punkt-Methoden und automatische Ergebnisverifikation in der Linearen Optimierung 1995
    Language: German
    Keywords: Lineare Optimierung ; Innere-Punkte-Methode ; Richtigkeit von Ergebnissen ; Hochschulschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    kobvindex_ZIB000003222
    Format: 337 S.
    ISBN: 3-540-57118-3
    Series Statement: Numerical toolbox for verified computing 1
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almafu_BV010290651
    Format: V, 144 S. : , graph. Darst.
    Edition: [Mikrofiche-Ausg.]
    Edition: Mikroform-Ausgabe 1 Mikrofiche : 48x Mikrofiche-Ausg.:
    Note: Karlsruhe, Univ., Diss., 1995
    Additional Edition: Reproduktion von Hocks, Matthias Innere-Punkt-Methoden und automatische Ergebnisverifikation in der Linearen Optimierung 1995
    Language: German
    Keywords: Lineare Optimierung ; Innere-Punkte-Methode ; Richtigkeit von Ergebnissen ; Hochschulschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    b3kat_BV042423007
    Format: 1 Online-Ressource (XV, 339p. 28 illus)
    ISBN: 9783642784231 , 9783642784255
    Series Statement: Springer Series in Computational Mathematics 21
    Note: As suggested by the title of this book Numerical Toolbox for Verified Computing, we present an extensive set of sophisticated tools to solve basic numerical problems with a verification of the results. We use the features of the scientific computer language PASCAL-XSC to offer modules that can be combined by the reader to his/her individual needs. Our overriding concern is reliability - the automatic verification of the result a computer returns for a given problem. All algorithms we present are influenced by this central concern. We must point out that there is no relationship between our methods of numerical result verification and the methods of program verification to prove the correctness of an imple~entation for a given algorithm. This book is the first to offer a general discussion on • arithmetic and computational reliability, • analytical mathematics and verification techniques, • algorithms, and • (most importantly) actual implementations in the form of working computer routines. Our task has been to find the right balance among these ingredients for each topic. For some topics, we have placed a little more emphasis on the algorithms. For other topics, where the mathematical prerequisites are universally held, we have tended towards more in-depth discussion of the nature of the computational algorithms, or towards practical questions of implementation. For all topics, we present exam­ ples, exercises, and numerical results demonstrating the application of the routines presented
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9947363126502882
    Format: XVIII, 382 p. , online resource.
    ISBN: 9783642796517
    Content: This C++ Toolbox for Verified Computing presents an extensive set of sophisticated tools for solving basic numerical problems with verification of the results. It is the C++ edition of the Numerical Toolbox for Verified Computing which was based on the computer language PASCAL-XSC. The sources of the programs in this book are freely available via anonymous ftp. This book offers a general discussion on arithmetic and computational reliablility, analytical mathematics and verification techniques, algoriths, and (most importantly) actual C++ implementations. In each chapter, examples, exercises, and numerical results demonstrate the application of the routines presented. The book introduces many computational verification techniques. It is not assumed that the reader has any prior formal knowledge of numerical verification or any familiarity with interval analysis. The necessary concepts are introduced. Some of the subjects that the book covers in detail are not usually found in standard numerical analysis texts.
    Note: 1 Introduction -- 1.1 Advice for Quick Reading -- 1.2 Structure of the Book -- 1.3 Typography -- 1.4 Algorithmic Notation -- 1.5 Implementation -- 1.6 Computational Environment -- 1.7 Why Numerical Result Verification? -- I Preliminaries -- 2 The Features of C-XSC -- 3 Mathematical Preliminaries -- II One-Dimensional Problems -- 4 Evaluation of Polynomials -- 5 Automatic Differentiation -- 6 Nonlinear Equations in One Variable -- 7 Global Optimization -- 8 Evaluation of Arithmetic Expressions -- 9 Zeros of Complex Polynomials -- III Multi-Dimensional Problems -- 10 Linear Systems of Equations -- 11 Linear Optimization -- 12 Automatic Differentiation for Gradients, Jacobians, and Hessians -- 13 Nonlinear Systems of Equations -- 14 Global Optimization -- A Utility Modules -- A.1 Module r_util -- A.2 Module i_util -- A.3 Module ci_util -- A.4 Module mv_util -- A.5 Module mvi_util -- B Alphabetical List of Modules -- C List of Special Symbols.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783642796531
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    almahu_9947363126902882
    Format: XV, 339 p. , online resource.
    ISBN: 9783642784231
    Series Statement: Springer Series in Computational Mathematics, 21
    Content: As suggested by the title of this book Numerical Toolbox for Verified Computing, we present an extensive set of sophisticated tools to solve basic numerical problems with a verification of the results. We use the features of the scientific computer language PASCAL-XSC to offer modules that can be combined by the reader to his/her individual needs. Our overriding concern is reliability - the automatic verification of the result a computer returns for a given problem. All algorithms we present are influenced by this central concern. We must point out that there is no relationship between our methods of numerical result verification and the methods of program verification to prove the correctness of an imple~entation for a given algorithm. This book is the first to offer a general discussion on • arithmetic and computational reliability, • analytical mathematics and verification techniques, • algorithms, and • (most importantly) actual implementations in the form of working computer routines. Our task has been to find the right balance among these ingredients for each topic. For some topics, we have placed a little more emphasis on the algorithms. For other topics, where the mathematical prerequisites are universally held, we have tended towards more in-depth discussion of the nature of the computational algorithms, or towards practical questions of implementation. For all topics, we present exam­ ples, exercises, and numerical results demonstrating the application of the routines presented.
    Note: 1 Introduction -- 1 Introduction -- I Preliminaries -- 2 The Features of PASCAL—XSC -- 3 Mathematical Preliminaries -- II One-Dimensional Problems -- 4 Evaluation of Polynomials -- 5 Automatic Differentiation -- 6 Nonlinear Equations in One Variable -- 7 Global Optimization -- 8 Evaluation of Arithmetic Expressions -- 9 Zeros of Complex Polynomials -- III Multi-Dimensional Problems -- 10 Linear Systems of Equations -- 11 Linear Optimization -- 12 Automatic Differentiation for Gradients, Jacobians, and Hessians -- 13 Nonlinear Systems of Equations -- 14 Global Optimization -- A Utility Modules -- A.l Module b_util -- A.2 Module r_util -- A.3 Module i_util -- A.4 Module mvi_util -- Index of Special Symbols.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783642784255
    Language: English
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