Volu me 1 Pa r t I I nve r se Pro b l e ms – Me th o ds . . . . . . .. . . . .. . . . .. . . . .. . . . . .. . . . .. . . . .. . 1 Linear Inverse Problems ....................................................... 3
Charles Groetsch Large-Scale Inverse Problems in Imaging .................................... 47
Julianne Chung, Sarah Knepper, and James G. Nagy Regularization Methods for Ill-Posed Problems ............................. 91
Jin Cheng and Bernd Hofmann Distance Measures and Applications to Multimodal Variational Imaging 125
Christiane Pöschl and Otmar Scherzer Energy Minimization Methods ................................................ 157
Mila Nikolova Compressive Sensing............................................................ 205
Massimo Fornasier and Holger Rauhut Duality and Convex Programming ..................... ....................... 257
Jonathan M. Borwein and D. Russell Luke EM Algorithms .................................................................. 305
Charles Byrne and Paul P.B. Eggermont EM Algorithms from a Non-stochastic Perspective ......................... 389
Charles Byrne Iterative Solution Methods ..................................................... 431
Martin Burger, Barbara Kaltenbacher, and Andreas Neubauer Level Set Methods for Structural Inversion and Image Reconstruction .. 471
Oliver Dorn and Dominiq