Publicado por Society for Industrial & Applied Mathematics,U.S., 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 87,55
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 354 pages. 10.04x7.05x0.87 inches. In Stock.
Publicado por MP-SIA SIAM - Society for Industrial and Applied M, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 95,79
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Society for Industrial & Applied Mathematics,U.S., 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 100,52
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 308.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 100,01
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Añadir al carritoCondición: New. pages cm.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 88,88
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Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 109,00
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Añadir al carritoPaperback. Condición: New. Second Edition. Built on the framework of the successful first edition, this book serves as a modern introduction to the field of optimization. The author's objective is to provide the foundations of theory and algorithms of nonlinear optimization as well as to present a variety of applications from diverse areas of applied sciences. Introduction to Nonlinear Optimization gradually yet rigorously builds connections between theory, algorithms, applications, and actual implementation. The book contains several topics not typically included in optimization books, such as optimality conditions in sparsity constrained optimization, hidden convexity, and total least squares. Readers will discover a wide array of applications such as circle fitting, Chebyshev center, the Fermat-Weber problem, denoising, clustering, total least squares, and orthogonal regression. These applications are studied both theoretically and algorithmically, illustrating concepts such as duality. Python and MATLAB programs are used to show how the theory can be implemented. The extremely popular CVX toolbox (MATLAB) and CVXPY module (Python) are described and used.More than 250 theoretical, algorithmic, and numerical exercises enhance the reader's understanding of the topics. (More than 70 of the exercises provide detailed solutions, and many others are provided with final answers.) The theoretical and algorithmic topics are illustrated by Python and MATLAB examples.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 95,78
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Añadir al carritoCondición: New.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 99,53
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Añadir al carritoCondición: New.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 107,25
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Añadir al carritoCondición: New. pages cm Second edition Includes bibliographical references and index.
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2023
ISBN 10: 1611977614 ISBN 13: 9781611977615
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 116,06
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoPaperback. Condición: New. Second Edition. Built on the framework of the successful first edition, this book serves as a modern introduction to the field of optimization. The author's objective is to provide the foundations of theory and algorithms of nonlinear optimization as well as to present a variety of applications from diverse areas of applied sciences. Introduction to Nonlinear Optimization gradually yet rigorously builds connections between theory, algorithms, applications, and actual implementation. The book contains several topics not typically included in optimization books, such as optimality conditions in sparsity constrained optimization, hidden convexity, and total least squares. Readers will discover a wide array of applications such as circle fitting, Chebyshev center, the Fermat-Weber problem, denoising, clustering, total least squares, and orthogonal regression. These applications are studied both theoretically and algorithmically, illustrating concepts such as duality. Python and MATLAB programs are used to show how the theory can be implemented. The extremely popular CVX toolbox (MATLAB) and CVXPY module (Python) are described and used.More than 250 theoretical, algorithmic, and numerical exercises enhance the reader's understanding of the topics. (More than 70 of the exercises provide detailed solutions, and many others are provided with final answers.) The theoretical and algorithmic topics are illustrated by Python and MATLAB examples.