Elements classical geometric optimization de roy debasish (29 resultados)
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Elements Of Classical And Geometric Optimization
Roy, Debasish (Indian Institute Of Science, Karnataka) Rao, G Visweswara
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Paperback. Condición: Brand New. 484 pages. 6.14x1.06x9.21 inches. In Stock.
Elements of Classical and Geometric Optimization
Debasish Roy (Indian Institute of Science, Karnataka)|G Visweswara Rao
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Condición: New. Debasish Roy, Professor, Department of Civil Engineering, Indian Institute of Science, Bangalore. He obtained his Ph.D. from the Indian Institute of Science, followed by post-doctoral research at the University of Innsbruck, Austria. He has published ove.
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Taschenbuch. Condición: Neu. Neuware - This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic, in a single volume and in a language accessible to non-mathematicians. It will help serve as an ideal study material for senior undergraduate and graduate stu…dents in the fields of civil, mechanical, aerospace, electrical, electronics, and communication engineering.The book includes: - Derivative-based Methods of Optimization. - Direct Search Methods of Optimization. - Basics of Riemannian Differential Geometry. - Geometric Methods of Optimization using Riemannian Langevin Dynamics. - Stochastic Analysis on Manifolds and Geometric Optimization Methods. This textbook comprehensively treats both classical and geometric optimization methods, including deterministic and stochastic (Monte Carlo) schemes. It offers an extensive coverage of important topics including derivative-based methods, penalty function methods, method of gradient projection, evolutionary methods, geometric search using Riemannian Langevin dynamics and stochastic dynamics on manifolds. The textbook is accompanied by online resources including MATLAB codes which are uploaded on our website. The textbook is primarily written for senior undergraduate and graduate students in all applied science and engineering disciplines and can be used as a main or supplementary text for courses on classical and geometric optimization.
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Paperback. Condición: new. Paperback. This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic, in a single volume and in a language accessible to non-mathematicians. It will help serve as an ideal study material for senior undergraduate and graduate stud…ents in the fields of civil, mechanical, aerospace, electrical, electronics, and communication engineering.The book includes:Derivative-based Methods of Optimization.Direct Search Methods of Optimization.Basics of Riemannian Differential Geometry.Geometric Methods of Optimization using Riemannian Langevin Dynamics.Stochastic Analysis on Manifolds and Geometric Optimization Methods.This textbook comprehensively treats both classical and geometric optimization methods, including deterministic and stochastic (Monte Carlo) schemes. It offers an extensive coverage of important topics including derivative-based methods, penalty function methods, method of gradient projection, evolutionary methods, geometric search using Riemannian Langevin dynamics and stochastic dynamics on manifolds. The textbook is accompanied by online resources including MATLAB codes which are uploaded on our website. The textbook is primarily written for senior undergraduate and graduate students in all applied science and engineering disciplines and can be used as a main or supplementary text for courses on classical and geometric optimization. This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic in a single volume. It will help serve as ideal study material for senior undergraduate and graduate students in the fields of civil, mechanical, electrical, electronics and communication engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condición: new. Paperback. This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic, in a single volume and in a language accessible to non-mathematicians. It will help serve as an ideal study material for senior undergraduate and graduate stud…ents in the fields of civil, mechanical, aerospace, electrical, electronics, and communication engineering.The book includes:Derivative-based Methods of Optimization.Direct Search Methods of Optimization.Basics of Riemannian Differential Geometry.Geometric Methods of Optimization using Riemannian Langevin Dynamics.Stochastic Analysis on Manifolds and Geometric Optimization Methods.This textbook comprehensively treats both classical and geometric optimization methods, including deterministic and stochastic (Monte Carlo) schemes. It offers an extensive coverage of important topics including derivative-based methods, penalty function methods, method of gradient projection, evolutionary methods, geometric search using Riemannian Langevin dynamics and stochastic dynamics on manifolds. The textbook is accompanied by online resources including MATLAB codes which are uploaded on our website. The textbook is primarily written for senior undergraduate and graduate students in all applied science and engineering disciplines and can be used as a main or supplementary text for courses on classical and geometric optimization. This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic in a single volume. It will help serve as ideal study material for senior undergraduate and graduate students in the fields of civil, mechanical, electrical, electronics and communication engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condición: new. Paperback. This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic, in a single volume and in a language accessible to non-mathematicians. It will help serve as an ideal study material for senior undergraduate and graduate stud…ents in the fields of civil, mechanical, aerospace, electrical, electronics, and communication engineering.The book includes:Derivative-based Methods of Optimization.Direct Search Methods of Optimization.Basics of Riemannian Differential Geometry.Geometric Methods of Optimization using Riemannian Langevin Dynamics.Stochastic Analysis on Manifolds and Geometric Optimization Methods.This textbook comprehensively treats both classical and geometric optimization methods, including deterministic and stochastic (Monte Carlo) schemes. It offers an extensive coverage of important topics including derivative-based methods, penalty function methods, method of gradient projection, evolutionary methods, geometric search using Riemannian Langevin dynamics and stochastic dynamics on manifolds. The textbook is accompanied by online resources including MATLAB codes which are uploaded on our website. The textbook is primarily written for senior undergraduate and graduate students in all applied science and engineering disciplines and can be used as a main or supplementary text for courses on classical and geometric optimization. This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic in a single volume. It will help serve as ideal study material for senior undergraduate and graduate students in the fields of civil, mechanical, electrical, electronics and communication engineering. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic, in a single volume and in a language accessible to non-mathematicians. It will help serve as an ideal stud…y material for senior undergraduate and graduate students in the fields of civil, mechanical, aerospace, electrical, electronics, and communication engineering.The book includes:Derivative-based Methods of Optimization.Direct Search Methods of Optimization.Basics of Riemannian Differential Geometry.Geometric Methods of Optimization using Riemannian Langevin Dynamics.Stochastic Analysis on Manifolds and Geometric Optimization Methods.This textbook comprehensively treats both classical and geometric optimization methods, including deterministic and stochastic (Monte Carlo) schemes. It offers an extensive coverage of important topics including derivative-based methods, penalty function methods, method of gradient projection, evolutionary methods, geometric search using Riemannian Langevin dynamics and stochastic dynamics on manifolds. The textbook is accompanied by online resources including MATLAB codes which are uploaded on our website. The textbook is primarily written for senior undergraduate and graduate students in all applied science and engineering disciplines and can be used as amain or supplementary text for courses on classical and geometric optimization. 526 pp. Englisch.
Elements of Classical and Geometric Optimization
Debasish Roy (Indian Institute of Science, Karnataka)|G Visweswara Rao
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Debasish Roy, Professor, Department of Civil Engineering, Indian Institute of Science, Bangalore. He obtained his Ph.D. from the Indian Institute of Science, followed by post-doctoral research at the University of Inn…sbruck, Austria. He has published ove.
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This comprehensive textbook covers both classical and geometric aspects of optimization using methods, deterministic and stochastic, in a single volume and in a language accessible to non-mathematicians. It will help serve as an ideal study mat…erial for senior undergraduate and graduate students in the fields of civil, mechanical, aerospace, electrical, electronics, and communication engineering.The book includes:Derivative-based Methods of Optimization.Direct Search Methods of Optimization.Basics of Riemannian Differential Geometry.Geometric Methods of Optimization using Riemannian Langevin Dynamics.Stochastic Analysis on Manifolds and Geometric Optimization Methods.This textbook comprehensively treats both classical and geometric optimization methods, including deterministic and stochastic (Monte Carlo) schemes. It offers an extensive coverage of important topics including derivative-based methods, penalty function methods, method of gradient projection, evolutionary methods, geometric search using Riemannian Langevin dynamics and stochastic dynamics on manifolds. The textbook is accompanied by online resources including MATLAB codes which are uploaded on our website. The textbook is primarily written for senior undergraduate and graduate students in all applied science and engineering disciplines and can be used as amain or supplementary text for courses on classical and geometric optimization.
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