Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Serves as a graduate text for a survey of computational statistics
Second edition adds material on optimization, MM algorithm, penalty and barrier methods, and model selection via the lasso
Other major topics are updated