03633nam a22004815i 4500 978-0-387-84806-8 DE-He213 20260521092011.0 cr nn 008mamaa 100301s2009 xxu| s |||| 0|eng d 9780387848068 99780387848068 10.1007/b138610 doi Dostál, Zdenek. author. Optimal Quadratic Programming Algorithms [electronic resource] : With Applications to Variational Inequalities / by Zdenek Dostál. Boston, MA : Springer US, 2009. XVIII, 284 p. 55 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Optimization and Its Applications, 1931-6828 ; 23 I Background -- Linear Algebra -- Optimization -- II Algorithms -- Conjugate Gradients for Unconstrained Minimization -- Equality Constrained Minimization -- Bound Constrained Minimization -- Bound and Equality Constrained Minimization -- III Applications to Variational Inequalities -- Solution of a Coercive Variational Inequality by FETI-DP Method -- Solution of a Semicoercive Variational Inequality by TFETI Method. Solving optimization problems in complex systems often requires the implementation of advanced mathematical techniques. Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. QP problems arise in fields as diverse as electrical engineering, agricultural planning, and optics. Given its broad applicability, a comprehensive understanding of quadratic programming is a valuable resource in nearly every scientific field. Optimal Quadratic Programming Algorithms presents recently developed algorithms for solving large QP problems. The presentation focuses on algorithms which are, in a sense optimal, i.e., they can solve important classes of problems at a cost proportional to the number of unknowns. For each algorithm presented, the book details its classical predecessor, describes its drawbacks, introduces modifications that improve its performance, and demonstrates these improvements through numerical experiments. This self-contained monograph can serve as an introductory text on quadratic programming for graduate students and researchers. Additionally, since the solution of many nonlinear problems can be reduced to the solution of a sequence of QP problems, it can also be used as a convenient introduction to nonlinear programming. The reader is required to have a basic knowledge of calculus in several variables and linear algebra. MATHEMATICS. NUMERICAL ANALYSIS. MATHEMATICAL OPTIMIZATION. OPERATIONS RESEARCH. ENGINEERING MATHEMATICS. MATHEMATICS. NUMERICAL ANALYSIS. APPL.MATHEMATICS/COMPUTATIONAL METHODS OF ENGINEERING. OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING. CALCULUS OF VARIATIONS AND OPTIMAL CONTROL; OPTIMIZATION. SpringerLink (Online service) Springer eBooks Printed edition: 9780387848051 Springer Optimization and Its Applications, 1931-6828 ; 23 http://dx.doi.org/10.1007/b138610 Ver el texto completo en las instalaciones del CICY ZDB-2-SMA ddc ER 35145 35145 0 0 ddc 0 0 LE CICY CICY EL 2025-10-06 0 2025-10-06 08:44:22 2025-10-06 ER