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Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging

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Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 61 Convex Non-convex Variational Models
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    Chapter 62 Bregman Methods for Large-Scale Optimization with Applications in Imaging
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    Chapter 70 Recent Development of Medical Shape Analysis via Computational Quasi-conformal Geometry
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    Chapter 112 Randomized Kaczmarz Method for Single Particle X-Ray Image Phase Retrieval
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    Chapter 113 Recent Developments of Surface Parameterization Methods Using Quasi-conformal Geometry
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    Chapter 115 Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion
Attention for Chapter 62: Bregman Methods for Large-Scale Optimization with Applications in Imaging
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