Optimal Quadratic Programming Algorithms

Optimal Quadratic Programming Algorithms

Zdenek Dostál

170,75 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2010
ISBN:
9781441946485
170,75 €
IVA incluido
Disponible

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Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This book presents recently developed algorithms for solving large QP problems and 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.

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Otros libros del autor

  • Optimal Quadratic Programming and QCQP Algorithms with Applications
    Zdenek Dostál
    This book presents cutting-edge algorithms for solving large-scale quadratic programming (QP) and/or QCQP. While applying these algorithms to the class of QP problems with the spectrum confined to a positive interval, the theory guarantees finding the prescribed precision solution through a uniformly bounded number of simple iterations, like matrix-vector multiplications.Key co...