Electronically excited cations, generated by inner-valence ionization of small molecules,
relax in general by dissociation and photon emission. Autoionization is forbidden for …

This paper surveys an important class of methods that combine iterative projection methods
and variational regularization methods for large-scale inverse problems. Iterative methods …

This paper is a survey of the theory and methods of photogrammetric bundle adjustment,
aimed at potential implementors in the computer vision community. Bundle adjustment is the …

This is a revised edition of a book which appeared close to two decades ago. Someone
scrutinizing how the field has evolved in these two decades will make two interesting …

Since being analyzed by Rokhlin, Szlam, and Tygert and popularized by Halko, Martinsson,
and Tropp, randomized Simultaneous Power Iteration has become the method of choice for …

This book, Eigensystems, is the second volume in a projected five-volume series entitled
Matrix Algorithms. The first volume treated basic decompositions. The three following this …

This book, Basic Decompositions, is the first volume in a projected five-volume series
entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods …

Since 1985, when this book was first published, interest in practical Lanczos algorithms for
computing eigenvalues of large scale problems has soared. The developments since 1985 …

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of
the mathematical techniques used in imaging science. The material is grouped into two …

This paper sketches the main research developments in the area of computational methods
for eigenvalue problems during the 20th century. The earliest of such methods dates back to …