linear programming using matlab® von ploskas nikolaos (10 Ergebnisse)

Taschenbuch. Zustand: Neu. Linear Programming Using MATLAB® | Nikolaos Ploskas (u. a.) | Taschenbuch | xvii | Englisch | 2018 | Springer | EAN 9783319881317 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. reprint edition. 664 pages. 9.25x6.10x1.42 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 660 | Sprache: Englisch | Produktart: Bücher | This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book  are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus.  The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.

Zustand: new. Questo è un articolo print on demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included f.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Methodically presents all components of the simplex-type methods¿Enables readers to experiment with MATLAB®codesthat areable to solve large-scale benchmark linear programs¿Contains 11 presolve techniques, 11 scaling techniques, 6 pivoting rules, and 4 basis inverse and update methodsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 660 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included f.

Buch. Zustand: Neu. Linear Programming Using MATLAB® | Nikolaos Ploskas (u. a.) | Buch | xvii | Englisch | 2017 | Springer | EAN 9783319659176 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Methodically presents all components of the simplex-type methods¿Enables readers to experiment with MATLAB®codesthat areable to solve large-scale benchmark linear programs¿Contains 11 presolve techniques, 11 scaling techniques, 6 pivoting rules, and 4 basis inverse and update methodsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 664 pp. Englisch.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.