This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data mining and pattern reco
This user-oriented guide describes state-of-the-art methods for nonlinear equations and shows, via algorithms in pseudocode and Julia with several examples, how
Iterative methods use successive approximations to obtain more accurate solutions. This book gives an introduction to iterative methods and preconditioning for
Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented b
This book addresses an important class of mathematical problems (the Riemann problem) for first-order hyperbolic partial differential equations (PDEs), which ar