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Parameter Estimation and Inverse Problems by Richard C. Aster... - 9780128046517
Parameter Estimation and Inverse Problems by Richard C. Aster... - 9780128046517

Parameter Estimation and Inverse Problems by Richard C. Aster... - 9780128046517

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Parameter Estimation and Inverse ProblemsAuthor(s): Richard C. Aster, Brian Borchers, Clifford H. Thurber\nFormat: Paperback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Elsevier Science Publishing Co Inc\nISBN-13: 9780128046517, 978-0128046517\nSynopsis\nParameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who do not have an extensive mathematical background. The book is complemented by a companion website that includes MATLAB codes that correspond to examples that are illustrated with simple, easy to follow problems that illuminate the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis function exercises, the addition of stochastic descent, an improved presentation of Fourier methods and exercises, and more.

Parameter Estimation and Inverse Problems by Richard C. Aster... - 9780128046517

Parameter Estimation and Inverse ProblemsAuthor(s): Richard C. Aster, Brian Borchers, Clifford H. Thurber\nFormat: Paperback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Elsevier Science Publishing Co Inc\nISBN-13: 9780128046517, 978-0128046517\nSynopsis\nParameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who do not have an extensive mathematical background. The book is complemented by a companion website that includes MATLAB codes that correspond to examples that are illustrated with simple, easy to follow problems that illuminate the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis function exercises, the addition of stochastic descent, an improved presentation of Fourier methods and exercises, and more.

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