Books by Per Christian Hansen   Click the pictures for information

Rank-Deficient and Discrete Ill-Posed Problems (second printing) is published by SIAM.

• SIAM's book description

• The table of contents

• List of misprints and corrections

Deblurring Images: Matrices, Spectra, and Filtering, written jointly with James G. Nagy and Dianne P. O'Leary, is also published by SIAM

• SIAM's book description

• The book's home page includes Matlab functions, images and other material related to the book.

• List of misprints and corrections

Discrete Inverse Problems: Insight and Algorithms is another book published by SIAM.

• SIAM's book description

• The book's home page has a suggestion for a short course based on the book, including overheads, videos and a list of misprints

Least Squares Data Fitting with Applications is written jointly with Victor Pereyra and Godela Scherer, and it is published by Johns Hopkins University Press.

• The publisher's book description

• The book's home page with some overheads and a list of misprints.

Computed Tomography: Algorithms, Insight, and Just Enough Theory is written and edited jointly with Jakob Sauer Jørgensen and Bill Lionheart, and with contributions from Martin S. Andersen, K. Joost Batenburg, Yiqiu Dong, Eric Todd Quinto and Jan Sijbers.

• The book is used in the PhD course Scientific Computing for X-Ray Computed Tomography at DTU.

• The first misprint in the book was found in the above course on January 4, 2023. On page 181, second to last line, the "x" under the tilde should be "f".

• An article about the book in SIAM News: What Can You See with Computed Tomography?

• SIAM's book description

• The table of contents.

Uncertainty Quantification in Inverse Problems with CUQIpy is written by several participants in the CUQI research project: Amal M. A. Alghamdi, Chao Zhang, Nicolai A. B. Riis, Jasper M. Everink, Felipe Uribe, Silja L. Christensen, Rémi Laumont, Per Christian Hansen, and Jakob Sauer Jørgensen.

• This is a freely availabe online and interactive book available here.

• The table of contents (pdf file with links to chapters and sections).

• It gives an introduction to computational uncertainty quantification in inverse problems.

• It containts training material on how to use the software package CUQIpy.

• It also covers some of the theoretical background behind the methods implemented in the software.