Synopsis
Continuous optimization is the study of problems in which we wish to opti- mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17*^ century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza- tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re- search in continuous optimization has produced a variety of theoretical devel- opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin- uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications.
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Continuous Optimization: Current Trends and Modern Applications (Applied Optimization, 99)
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Continuous Optimization
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Continuous optimization is the study of problems in which we wish to opti mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17\*^ century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re search in continuous optimization has produced a variety of theoretical devel opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications. 468 pp. Englisch. N° de réf. du vendeur 9781441938947
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Continuous Optimization
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A research contributed volume presenting substantive survey articles in a number of important topic areas of continuous optimizationContains timely research articles in optimization theory, and numerical optimization including optimization softwar. N° de réf. du vendeur 4174263
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Continuous Optimization | Current Trends and Modern Applications
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Taschenbuch. Etat : Neu. Continuous Optimization | Current Trends and Modern Applications | Alexander M. Rubinov (u. a.) | Taschenbuch | xviii | Englisch | 2010 | Springer US | EAN 9781441938947 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 107252349
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Continuous Optimization
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Springer US, Springer US Dez 2010, 2010
ISBN 10 : 144193894X
ISBN 13 : 9781441938947
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Continuous optimization is the study of problems in which we wish to opti mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17\*^ century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re search in continuous optimization has produced a variety of theoretical devel opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 468 pp. Englisch. N° de réf. du vendeur 9781441938947
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Continuous Optimization : Current Trends and Modern Applications
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Continuous optimization is the study of problems in which we wish to opti mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17\*^ century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re search in continuous optimization has produced a variety of theoretical devel opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications. N° de réf. du vendeur 9781441938947
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Continuous Optimization: Current Trends and Modern Applications (Applied Optimization, 99)
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