February 2014
Intermediate to advanced
300 pages
11h 15m
English
Content preview from Iterative Optimization in Inverse Problems
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Chapter 9
Eigenvalue Bounds
9.1 Introduction and Notation ....................................... 124
9.1.1 Eigenvalues and Singular Values ........................ 124
9.1.2 Vector and Matrix Norms ............................... 125
9.1.3 Some Examples of Induced Matrix Norms .............. 126
9.2 Overview ......................................................... 128
9.3 Cimmino’s Algorithm ............................................ 130
9.4 The Landweber Algorithms ...................................... 130
9.4.1 Finding the Optimum γ ................................. 131
9.4.2 The Projected Landweber Algorithm ................... 132
9.5 Some Upp ...
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