9783540570370 - The Linearization Method for Constrained Optimization: v. 22 (Springer Series in Computational Mathematics) de Pshenichnyj, Boris N. (6 resultados)

Condición: New. In.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Techniques of optimization are applied in many problems in economics, automatic control, engineering, etc. and a wealth of literature is devoted to this subject. The first computer applications involved linear programming problems with simple structure and comparatively uncomplicated nonlinear problems: These could be solved readily with the computational power of existing machines, more than 20 years ago. Problems of increasing size and nonlinear complexity made it necessary to develop a complete new arsenal of methods for obtaining numerical results in a reasonable time. The linearization method is one of the fruits of this research of the last 20 years. It is closely related to Newton's method for solving systems of linear equations, to penalty function methods and to methods of nondifferentiable optimization. It requires the efficient solution of quadratic programming problems and this leads to a connection with conjugate gradient methods and variable metrics.

Hardcover. Condición: Brand New. 1st edition. 147 pages. 9.37x6.42x0.59 inches. In Stock.

Condición: New. nOptimierungsverfahren werden zur Loesung von Problemen in den Bereichen Wirtschafts- und Ingenieurwissenschaften, automatischer Kontrolle usw. eingesetzt. Das vorliegende Buch - von einem der fuehrenden Spezialisten der Optimierungstheorie geschrieben - biet.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Techniques of optimization are applied in many problems in economics, automatic control, engineering, etc. and a wealth of literature is devoted to this subject. The first computer applications involved linear programming problems with simple structure and comparatively uncomplicated nonlinear problems: These could be solved readily with the computational power of existing machines, more than 20 years ago. Problems of increasing size and nonlinear complexity made it necessary to develop a complete new arsenal of methods for obtaining numerical results in a reasonable time. The linearization method is one of the fruits of this research of the last 20 years. It is closely related to Newton's method for solving systems of linear equations, to penalty function methods and to methods of nondifferentiable optimization. It requires the efficient solution of quadratic programming problems and this leads to a connection with conjugate gradient methods and variable metrics. 147 pp. Englisch.