| #1551850 in Books | 2003-07 | Original language:English | PDF # 1 | 8.98 x.98 x5.98l,.0 | File type: PDF | 389 pages||0 of 0 people found the following review helpful.| I believe DCA may also be of great use in machine learning and this book is a ...|By Jun Qi|Discrete Convex Analysis is a quite novel paradigm for discrete optimization that combines the ideas in continuous optimization and combinatorial optimization to establish a unified theoretical framework for nonlinear discrete optimization. Prof. Murota's book is just the first attempt f|From the Publisher|The theory of discrete convex analysis has attracted the interest of many researchers in the field of optimization. Discrete Convex Analysis provides the information that professionals in optimization will need to "catch up" with this new theo
Discrete Convex Analysis is a novel paradigm for discrete optimization that combines the ideas in continuous optimization (convex analysis) and combinatorial optimization (matroid/submodular function theory) to establish a unified theoretical framework for nonlinear discrete optimization. The study of this theory is expanding with the development of efficient algorithms and applications to a number of diverse disciplines like matrix theory, operations research, and econo...
You easily download any file type for your device.Discrete Convex Analysis (Monographs on Discrete Math and Applications) (Monographs on Discrete Mathematics and Applications) | Kazuo Murota. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
