Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
Product Description
Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
- Used Book in Good Condition
The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book to be an indispensible tool.
This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on
• fast transforms
• parallel LU
• discrete Poisson solvers
• pseudospectra
• structured linear equation problems
• structured eigenvalue problems
• large-scale SVD methods
• polynomial eigenvalue problems
Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature―everything needed to become a matrix-savvy developer of numerical methods and software. The second most cited math book of 2012 according to MathSciNet, the book has placed in the top 10 for since 2005.
Technical Specifications
You might also like
Numerical Linear Algebra
Linear Algebra and Learning from Data
Convex Optimization
Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
Matrix Analysis: Second Edition
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)