Aster, Richard C.; Borchers, Brian; Thurber, Clifford H.
Parameter Estimation and Inverse Problems, Second Edition
# ISBN 13: 9780123850485

*Parameter Estimation and Inverse Problems*, 2e* *provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the broad range of approaches that lie in the realm of inverse theory. The authors present both the underlying theory and practical algorithms for solving inverse problems. The authors' treatment is appropriate for geoscience graduate students and advanced undergraduates with a basic working knowledge of calculus, linear algebra, and statistics.

*Parameter Estimation and Inverse Problems*, 2e introduces readers to both Classical and Bayesian approaches to linear and nonlinear problems with particular attention paid to computational, mathematical, and statistical issues related to their application to geophysical problems. The textbook includes Appendices covering essential linear algebra, statistics, and notation in the context of the subject. A companion website features computational examples (including all examples contained in the textbook) and useful subroutines using MATLAB.

- Includes appendices for review of needed concepts in linear, statistics, and vector calculus.
- Companion website contains comprehensive MATLAB code for all examples, which readers can reproduce, experiment with, and modify.
- Online instructor's guide helps professors teach, customize exercises, and select homework problems
- Accessible to students and professionals without a highly specialized mathematical background.

*"synopsis" may belong to another edition of this title.*

By Richard Aster, Brian Borchers and Cliff Thurber

*"About this title" may belong to another edition of this title.*

Published by
Academic Press
(2012)

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Hardcover
Quantity Available: 1

Seller

Rating

**Book Description **Academic Press, 2012. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service!. Bookseller Inventory # ABE_book_new_0123850487

More Information About This Seller | Ask Bookseller a Question

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Quantity Available: 2

Seller

Rating

**Book Description **Book Condition: New. New Book. Bookseller Inventory # 0123850487TUN

More Information About This Seller | Ask Bookseller a Question

Published by
Elsevier Science & Technology

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Quantity Available: 3

Seller

Rating

**Book Description **Elsevier Science & Technology. Book Condition: Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. Bookseller Inventory # 42203876

More Information About This Seller | Ask Bookseller a Question

Published by
Elsevier Science & Technology

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Quantity Available: 1

Seller

Rating

**Book Description **Elsevier Science & Technology. Book Condition: Brand New. Dispatch Same Working Day, (Delivery 2-4 business days, Courier For Heavy/Expensive Items) Money Back Guarantee, 99.3% Customer Satisfaction, Prompt Customer Service. Bookseller Inventory # 41000224

More Information About This Seller | Ask Bookseller a Question

Published by
Academic Press
(2012)

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Hardcover
Quantity Available: 1

Seller

Rating

**Book Description **Academic Press, 2012. Hardcover. Book Condition: New. 2. Bookseller Inventory # DADAX0123850487

More Information About This Seller | Ask Bookseller a Question

Published by
Academic Press
(2012)

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Hardcover
Quantity Available: 1

Seller

Rating

**Book Description **Academic Press, 2012. Hardcover. Book Condition: New. book. Bookseller Inventory # 0123850487

More Information About This Seller | Ask Bookseller a Question

Published by
Elsevier Science Publishing Co Inc, United States
(2012)

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Hardcover
Quantity Available: 10

Seller

Rating

**Book Description **Elsevier Science Publishing Co Inc, United States, 2012. Hardback. Book Condition: New. 2nd Revised edition. 236 x 196 mm. Language: English . Brand New Book. Parameter Estimation and Inverse Problems, 2/e provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the broad range of approaches that lie in the realm of inverse theory. The authors present both the underlying theory and practical algorithms for solving inverse problems. The authors treatment is appropriate for geoscience graduate students and advanced undergraduates with a basic working knowledge of calculus, linear algebra, and statistics. Parameter Estimation and Inverse Problems, 2/e introduces readers to both Classical and Bayesian approaches to linear and nonlinear problems with particular attention paid to computational, mathematical, and statistical issues related to their application to geophysical problems. The textbook includes Appendices covering essential linear algebra, statistics, and notation in the context of the subject. This book includes a companion website that features computational examples (including all examples contained in the textbook) and useful subroutines using MATLAB. It: includes appendices for review of needed concepts in linear, statistics, and vector calculus; features a companion website that contains comprehensive MATLAB code for all examples, which readers can reproduce, experiment with, and modify; offers an online instructor s guide that helps professors teach, customize exercises, and select homework problems; and, is accessible to students and professionals without a highly specialized mathematical background. Bookseller Inventory # AAZ9780123850485

More Information About This Seller | Ask Bookseller a Question

Published by
Academic Press 2012-02-22|NU-GRD-04824818
(2012)

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Hardcover
Quantity Available: 5

Seller

Rating

**Book Description **Academic Press 2012-02-22|NU-GRD-04824818, 2012. Hardcover. Book Condition: New. 9780123850485. Bookseller Inventory # NU-GRD-04824818

More Information About This Seller | Ask Bookseller a Question

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Quantity Available: 3

Seller

Rating

**Book Description **Book Condition: New. Bookseller Inventory # ST0123850487. Bookseller Inventory # ST0123850487

More Information About This Seller | Ask Bookseller a Question

Published by
Elsevier Science Publishing Co Inc, United States
(2012)

ISBN 10: 0123850487
ISBN 13: 9780123850485

New
Hardcover
Quantity Available: 10

Seller

Rating

**Book Description **Elsevier Science Publishing Co Inc, United States, 2012. Hardback. Book Condition: New. 2nd Revised edition. 236 x 196 mm. Language: English . Brand New Book. Parameter Estimation and Inverse Problems, 2/e provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the broad range of approaches that lie in the realm of inverse theory. The authors present both the underlying theory and practical algorithms for solving inverse problems. The authors treatment is appropriate for geoscience graduate students and advanced undergraduates with a basic working knowledge of calculus, linear algebra, and statistics. Parameter Estimation and Inverse Problems, 2/e introduces readers to both Classical and Bayesian approaches to linear and nonlinear problems with particular attention paid to computational, mathematical, and statistical issues related to their application to geophysical problems. The textbook includes Appendices covering essential linear algebra, statistics, and notation in the context of the subject. This book includes a companion website that features computational examples (including all examples contained in the textbook) and useful subroutines using MATLAB. It: includes appendices for review of needed concepts in linear, statistics, and vector calculus; features a companion website that contains comprehensive MATLAB code for all examples, which readers can reproduce, experiment with, and modify; offers an online instructor s guide that helps professors teach, customize exercises, and select homework problems; and, is accessible to students and professionals without a highly specialized mathematical background. Bookseller Inventory # AAZ9780123850485

More Information About This Seller | Ask Bookseller a Question