Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 78,42
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 72,08
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 72,08
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031042921 ISBN 13 : 9783031042928
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 88,49
Quantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New. 2022 ed. Manifold optimization is an emerging field of contemporary optimization that constructs efficient and robust algorithms by exploiting the specific geometrical structure of the search space. In our case the search space takes the form of a manifold. Manifold optimization methods mainly focus on adapting existing optimization methods from the usual "easy-to-deal-with" Euclidean search spaces to manifolds whose local geometry can be defined e.g. by a Riemannian structure. In this way the form of the adapted algorithms can stay unchanged. However, to accommodate the adaptation process, assumptions on the search space manifold often have to be made. In addition, the computations and estimations are confined by the local geometry.This book presents a framework for population-based optimization on Riemannian manifolds that overcomes both the constraints of locality and additional assumptions. Multi-modal, black-box manifold optimization problems on Riemannian manifolds can be tackled using zero-order stochastic optimization methods from a geometrical perspective, utilizing both the statistical geometry of the decision space and Riemannian geometry of the search space.This monograph presents in a self-contained manner both theoretical and empirical aspects of stochastic population-based optimization on abstract Riemannian manifolds.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 86,18
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 72,07
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 79,68
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 113,44
Quantité disponible : 1 disponible(s)
Ajouter au panierhardcover. Etat : Very Good. Cover and edges may have some wear.
Langue: anglais
Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031042921 ISBN 13 : 9783031042928
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 73,92
Quantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New. 2022 ed. Manifold optimization is an emerging field of contemporary optimization that constructs efficient and robust algorithms by exploiting the specific geometrical structure of the search space. In our case the search space takes the form of a manifold. Manifold optimization methods mainly focus on adapting existing optimization methods from the usual "easy-to-deal-with" Euclidean search spaces to manifolds whose local geometry can be defined e.g. by a Riemannian structure. In this way the form of the adapted algorithms can stay unchanged. However, to accommodate the adaptation process, assumptions on the search space manifold often have to be made. In addition, the computations and estimations are confined by the local geometry.This book presents a framework for population-based optimization on Riemannian manifolds that overcomes both the constraints of locality and additional assumptions. Multi-modal, black-box manifold optimization problems on Riemannian manifolds can be tackled using zero-order stochastic optimization methods from a geometrical perspective, utilizing both the statistical geometry of the decision space and Riemannian geometry of the search space.This monograph presents in a self-contained manner both theoretical and empirical aspects of stochastic population-based optimization on abstract Riemannian manifolds.
Vendeur : Studibuch, Stuttgart, Allemagne
EUR 66,52
Quantité disponible : 1 disponible(s)
Ajouter au panierhardcover. Etat : Sehr gut. 179 Seiten; 9783031042928.2 Gewicht in Gramm: 500.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 194,46
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 195,28
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 214,06
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 179 pages. 9.25x6.10x0.39 inches. In Stock.
Langue: anglais
Edité par Springer International Publishing, 2023
ISBN 10 : 3031042956 ISBN 13 : 9783031042959
Vendeur : moluna, Greven, Allemagne
EUR 127,40
Quantité disponible : Plus de 20 disponibles
Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research on Population-based Optimization on Riemannian manifolds Addresses the locality and implicit assumptions of manifold optimization Presents a novel population-based optimization algorithm on Riemannian manifolds .
Langue: anglais
Edité par Springer International Publishing, 2022
ISBN 10 : 3031042921 ISBN 13 : 9783031042928
Vendeur : moluna, Greven, Allemagne
EUR 127,40
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research on Population-based Optimization on Riemannian manifolds Addresses the locality and implicit assumptions of manifold optimization Presents a novel population-based optimization algorithm on Riemannian manifolds .
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 201,61
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 201,93
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 207,04
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 207,19
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.