Conjugate Gradient Algorithms in Nonconvex Optimization

Conjugate Gradient Algorithms in Nonconvex Optimization

Radoslaw Pytlak

268,16 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2010
ISBN:
9783642099250
268,16 €
IVA incluido
Disponible

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Sobre IBD

Conjugate Direction Methods for Quadratic Problems.- Conjugate Gradient Methods for Nonconvex Problems.- Memoryless Quasi-Newton Methods.- Preconditioned Conjugate Gradient Algorithms.- Limited Memory Quasi-Newton Algorithms.- The Method of Shortest Residuals and Nondifferentiable Optimization.- The Method of Shortest Residuals for Differentiable Problems.- The Preconditioned Shortest Residuals Algorithm.- Optimization on a Polyhedron.- Conjugate Gradient Algorithms for Problems with Box Constraints.- Preconditioned Conjugate Gradient Algorithms for Problems with Box Constraints.- Preconditioned Conjugate Gradient Based Reduced-Hessian Methods.

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