9781611977615 - introduction to nonlinear optimization: theory, algorithms, and applications with python and matlab di amir beck (author) (14 risultati)
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2023
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Da: Indiana Book Company, Marion, IN, U.S.A.Indiana Book Company
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EUR 68,90
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Condizione: New. Ships same or next business day with delivery confirmation. Brand New. Expedited shipping available.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2023
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Condizione: New.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., New York, 2023
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condizione: new. Paperback. 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 divers…e 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 FermatWeber 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2023
- Brossura
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 103,96
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Paperback. Condizione: 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 d…iverse 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.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2023
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 89,20
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Paperback. Condizione: Brand New. 2nd edition. 354 pages. 10.04x7.05x0.87 inches. In Stock.
Lingua: Inglese
Editore: MP-SIA SIAM - Society for Industrial and Applied M, 2023
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2023
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. pages cm.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2023
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 104,35
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Condizione: New.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2023
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 111,89
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Condizione: New. pages cm Second edition Includes bibliographical references and index.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2023
- Brossura
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 116,62
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Condizione: New. In English.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2023
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 101,07
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Paperback. Condizione: 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 d…iverse 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.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., New York, 2023
- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 148,06
EUR 31,95 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. 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 divers…e 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 FermatWeber 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
