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  • Matrices, Moments and Quadrature with Applicationsby Gene H. Golub; Gérard Meurant

    Princeton University Press 2009; US$ 78.50

    This computationally oriented book describes and explains the mathematical relationships among matrices, moments, orthogonal polynomials, quadrature rules, and the Lanczos and conjugate gradient algorithms. The book bridges different mathematical areas to obtain algorithms to estimate bilinear forms involving two vectors and a function of the matrix.... more...

  • Inverse Eigenvalue Problemsby Moody Chu; Gene Golub

    Oxford University Press 2005; US$ 169.99

    Inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions--the theoretical issue of solvability and the practical issue of computability. Both questions are difficult and challenging. In this text, the authors discuss the fundamental questions, some known... more...

  • Recent Advances in Numerical Analysisby Carl De Boor; Gene H. Golub

    Elsevier Science 2014; US$ 72.95

    Recent Advances in Numerical Analysis provides information pertinent to the developments in numerical analysis. This book covers a variety of topics, including positive functions, Sobolev spaces, computing paths, partial differential equations, and perturbation theory. Organized into 12 chapters, this book begins with an overview of stability conditions... more...

  • Scientific Computing and Differential Equationsby Gene H. Golub; James M. Ortega

    Elsevier Science 2014; US$ 72.95

    Scientific Computing and Differential Equations: An Introduction to Numerical Methods, is an excellent complement to Introduction to Numerical Methods by Ortega and Poole. The book emphasizes the importance of solving differential equations on a computer, which comprises a large part of what has come to be called scientific computing. It reviews... more...

  • Scientific Computingby Gene H. Golub; James M. Ortega

    Elsevier Science 2014; US$ 72.95

    This book introduces the basic concepts of parallel and vector computing in the context of an introduction to numerical methods. It contains chapters on parallel and vector matrix multiplication and solution of linear systems by direct and iterative methods. It is suitable for advanced undergraduate and beginning graduate courses in computer science,... more...

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