Inverse problem theory and methods for model parameter estimation

Inverse problem theory and methods for model parameter estimation

by Tarantola, Albert

Type Book
Rate 0.0 /5

Inverse problems are difficult because they may not have a unique solution. The description of uncertainties plays a central role in the theory, which is based on probability theory. This book proposes a general approach that is valid for linear as well as for nonlinear problems.

Read More ↓
Details
Files
Reviews
Download

Title Statements

  • Full title :Inverse problem theory and methods for model parameter estimation / Albert Tarantola

Summary

Inverse problems are difficult because they may not have a unique solution. The description of uncertainties plays a central role in the theory, which is based on probability theory. This book proposes a general approach that is valid for linear as well as for nonlinear problems.

Read More ↓

Edition Statements

  • Publication Date:2005

Publication Statements

  • Publisher(s):SIAM
  • Place of Publication:Philadelphia
  • Language:eng
  • Publication Date:2005

Notes

Håndbog

The Physical Object

  • Description:342 s. : : illustrations

Edition Identifiers

  • ISBN:0898715725, 9780898715729
  • oclc:ocn475475445
  • Dewey Decimal:515/357

Table of Contents

Chapter 1: The General Discrete Inverse Problem; Chapter 2: Monte Carol Methods; Chapter 3: The Least-Squares Criterion; Chapter 4: Least-Absolute Values Criterion and Minimax Criterion; Chapter 5: Functional Inverse Problems; Chapter 6: Appendices; Chapter 7: Problems; References; Index.

Read More ↓

Subjects

inverse problems

Writers

Tarantola, Albert

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

No downloadable files are registered for this work yet.

Log in to request a copy