[PDF.52qn] Optimization Algorithms on Matrix Manifolds
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Optimization Algorithms on Matrix Manifolds
P.-A. Absil, R. Mahony, R. Sepulchre
[PDF.da32] Optimization Algorithms on Matrix Manifolds
Optimization Algorithms on Matrix P.-A. Absil, R. Mahony, R. Sepulchre epub Optimization Algorithms on Matrix P.-A. Absil, R. Mahony, R. Sepulchre pdf download Optimization Algorithms on Matrix P.-A. Absil, R. Mahony, R. Sepulchre pdf file Optimization Algorithms on Matrix P.-A. Absil, R. Mahony, R. Sepulchre audiobook Optimization Algorithms on Matrix P.-A. Absil, R. Mahony, R. Sepulchre book review Optimization Algorithms on Matrix P.-A. Absil, R. Mahony, R. Sepulchre summary
| #405336 in Books | Princeton University Press | 2007-12-23 | Original language:English | PDF # 1 | 9.21 x.69 x6.14l,1.02 | File type: PDF | 240 pages | ||2 of 2 people found the following review helpful.| very good book but with a slight bias towards Riemannian methods|By Manchor Ko|Very well written book and accessible to people who don't know classical differential geometry and manifolds. The author is a central figure in the Riemannian manifold approaches and is natural to make that the focus of the book. I do wish the alternatives are mentioned - e.g. directly working with||"This book is succinct but essentially self-contained; it includes an appendix with background material as well as an extensive bibliography. The algorithmic techniques developed may be useful anytime a model leads to a mathematical optimization problem where
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure. This book shows how to exploit the special structure of such problems to develop efficient numerical algorithms. It places careful emphasis on both the numerical formulation of the algorithm and its differential geometric abstraction--illustrating how good algorithms draw equally from the insights of differential ...
You easily download any file type for your device.Optimization Algorithms on Matrix Manifolds | P.-A. Absil, R. Mahony, R. Sepulchre. A good, fresh read, highly recommended.