Approximate resolution of linear systems of differential equations with varying coefficients is
a recurrent problem, shared by a number of scientific and engineering areas, ranging from …

Canonical correlation analysis is a family of multivariate statistical methods for the analysis
of paired sets of variables. Since its proposition, canonical correlation analysis has, for …

Ben shu bao kuo shu zhi bi jin, Cha zhi yu ni he, Shu zhi ji fen, Xian xing yu fei xian xing
fang cheng zu shu zhi jie fa, Ju zhen te zheng zhi yu te zheng xiang liang ji suan, Chang wei …

Recent work by Reiss and Ogden provides a theoretical basis for sometimes preferring
restricted maximum likelihood (REML) to generalized cross-validation (GCV) for smoothing …

The first edition of this book has established itself as one of the leading references on
generalized additive models (GAMs), and the only book on the topic to be introductory in …

Principal component analysis of a data matrix extracts the dominant patterns in the matrix in
terms of a complementary set of score and loading plots. It is the responsibility of the data …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded
coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge …

Since the early 1980. the first author has taught a graduate course in numerical linear
algebra at MIT and Cornell. The alumni of this course, now numbering in the hundreds, have …

This textbook covers both direct and iterative methods for the solution of linear systems, least
squares problems, eigenproblems, and the singular value decomposition. Earlier versions …