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Andreu-Vaillo, Fuensanta; Caselles, Vicent; Mazon, Jose M. - Parabolic Quasilinear Equations Minimizing Linear Growth Functionals - 9783034896245 - V9783034896245
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Parabolic Quasilinear Equations Minimizing Linear Growth Functionals

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Description for Parabolic Quasilinear Equations Minimizing Linear Growth Functionals Paperback. Series: Progress in Mathematics. Num Pages: 342 pages, 13 black & white illustrations. BIC Classification: PBK; PBKF; PBKJ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 18. Weight in Grams: 551.

Award-winning monograph of the Ferran Sunyer i Balaguer Prize 2003.

This book contains a detailed mathematical analysis of the variational approach to image restoration based on the minimization of the total variation submitted to the constraints given by the image acquisition model. This model, initially introduced by Rudin, Osher, and Fatemi, had a strong influence in the development of variational methods for image denoising and restoration, and pioneered the use of the BV model in image processing. After a full analysis of the model, the minimizing total variation flow is studied under different boundary conditions, and its main qualitative properties ... Read more

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Product Details

Format
Paperback
Publication date
2004
Publisher
Springer Basel Switzerland
Number of pages
342
Condition
New
Series
Progress in Mathematics
Number of Pages
342
Place of Publication
Basel, Switzerland
ISBN
9783034896245
SKU
V9783034896245
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Parabolic Quasilinear Equations Minimizing Linear Growth Functionals
"This book is well written…[and] should be of interest to anyone studying image reconstruction and to anyone in PDEs trying to see what kinds of modern applications abound for the subject." —Mathematical Reviews "This book is devoted to PDE's of elliptic and parabolic type associated to functionals having a linear growth in the gradient, with ... Read more

Goodreads reviews for Parabolic Quasilinear Equations Minimizing Linear Growth Functionals


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