Statistical and Computational Inverse Problems (Applied Mathematical Sciences) (v. 160)
Jari Kaipio
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Description for Statistical and Computational Inverse Problems (Applied Mathematical Sciences) (v. 160)
Hardcover. Covers the statistical mechanics approach to computational solution of inverse problems. This book applies the techniques to a number of real world applications such as limited angle tomography, image deblurring, electrical impedance tomography, and biomagnetic inverse problems. Series: Applied Mathematical Sciences. Num Pages: 340 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 20. Weight in Grams: 680.
This book covers the statistical mechanics approach to computational solution of inverse problems, an innovative area of current research with very promising numerical results. The techniques are applied to a number of real world applications such as limited angle tomography, image deblurring, electical impedance tomography, and biomagnetic inverse problems. Contains detailed examples throughout and includes a chapter on case studies where such methods have been implemented in biomedical engineering.
This book covers the statistical mechanics approach to computational solution of inverse problems, an innovative area of current research with very promising numerical results. The techniques are applied to a number of real world applications such as limited angle tomography, image deblurring, electical impedance tomography, and biomagnetic inverse problems. Contains detailed examples throughout and includes a chapter on case studies where such methods have been implemented in biomedical engineering.
Product Details
Publisher
Springer
Format
Hardback
Publication date
2004
Series
Applied Mathematical Sciences
Condition
New
Number of Pages
340
Place of Publication
New York, NY, United States
ISBN
9780387220734
SKU
V9780387220734
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Statistical and Computational Inverse Problems (Applied Mathematical Sciences) (v. 160)
From the reviews: The book is devoted to the development of the statistical approach to inverse problems ... . The content is written clearly and without citations in the main text. Every chapter has a section called `Notes and comments' where the citations and further reading, as well ... Read more