global optimization methods geophysical de sen (34 resultados)

Condición: New.

Hardcover. Condición: Like New. Second Edition. A firm and square hardback with sharp corners and strong joints, just showing a few very minor cosmetic rubs. Hence a non-text page has a small 'damaged' stamp. Despite such this book is actually in nearly new condition and appears unread. Thus the contents are crisp, fresh and tight; no pen-marks. Now offered for sale at a very sensible price.

Condición: New. In.

Paperback. Condición: New.

Condición: New. pp. 302.

Paperback. Condición: Brand New. 1st reprint edition. 302 pages. 9.25x6.50x0.75 inches. In Stock.

Condición: New. 2018. Revised edition. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration.

Condición: New. 2018. Revised edition. Paperback. . . . . .

Condición: New. In.

Condición: New.

Hardback. Condición: New. Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration.

Hardcover. Condición: Like New. Like New. book.

Condición: New. pp. 296 Index 2nd Edition.

Hardcover. Condición: Brand New. 2nd edition. 296 pages. 9.76x6.93x0.79 inches. In Stock.

Hardback. Condición: New. Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration.

Condición: New. An up-to-date overview of global optimization methods used to formulate and interpret geophysical observations, for researchers, graduate students and professionals. Num Pages: 302 pages, 114 b/w illus. 4 tables. BIC Classification: PHVG. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 255 x 180 x 19. Weight in Grams: 748. . 2013. 2 Rev ed. Hardback. . . . . Books ship from the US and Ireland.

Condición: New. An up-to-date overview of global optimization methods used to formulate and interpret geophysical observations, for researchers, graduate students and professionals. Num Pages: 302 pages, 114 b/w illus. 4 tables. BIC Classification: PHVG. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 255 x 180 x 19. Weight in Grams: 748. . 2013. 2 Rev ed. Hardback. . . . .

Paperback. Condición: new. Paperback. Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration. This up-to-date new edition provides an overview of global optimization methods, and includes succinct descriptions of background theory, advanced concepts and examples of geophysical inversion, enabling readers to formulate their own applications. A valuable resource for researchers, graduate students and professionals in geophysics, inverse theory, exploration geoscience and engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: Brand New. 1st reprint edition. 302 pages. 9.25x6.50x0.75 inches. In Stock. This item is printed on demand.

Condición: New. Print on Demand pp. 302.

Condición: New. PRINT ON DEMAND pp. 302.

Paperback. Condición: new. Paperback. Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration. This up-to-date new edition provides an overview of global optimization methods, and includes succinct descriptions of background theory, advanced concepts and examples of geophysical inversion, enabling readers to formulate their own applications. A valuable resource for researchers, graduate students and professionals in geophysics, inverse theory, exploration geoscience and 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.

Paperback. Condición: Brand New. 300 pages. 9.50x6.30x0.68 inches. This item is printed on demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This up-to-date new edition provides an overview of global optimization methods, and includes succinct descriptions of background theory, advanced concepts and examples of geophysical inversion, enabling readers to formulate their own applications. A valuab.

Paperback. Condición: new. Paperback. Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration. This up-to-date new edition provides an overview of global optimization methods, and includes succinct descriptions of background theory, advanced concepts and examples of geophysical inversion, enabling readers to formulate their own applications. A valuable resource for researchers, graduate students and professionals in geophysics, inverse theory, exploration geoscience and 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.

Hardcover. Condición: Brand New. 2nd edition. 296 pages. 9.76x6.93x0.79 inches. In Stock. This item is printed on demand.

Hardcover. Condición: new. Hardcover. Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration. This up-to-date new edition provides an overview of global optimization methods, and includes succinct descriptions of background theory, advanced concepts and examples of geophysical inversion, enabling readers to formulate their own applications. A valuable resource for researchers, graduate students and professionals in geophysics, inverse theory, exploration geoscience and engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration. This up-to-date new edition provides an overview of global optimization methods, and includes succinct descriptions of background theory, advanced concepts and examples of geophysical inversion, enabling readers to formulate their own applications. A valuable resource for researchers, graduate students and professionals in geophysics, inverse theory, exploration geoscience and 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.