MM Optimization Algorithms is popular PDF and ePub book, written by Kenneth Lange in 2016-07-11, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, MM Optimization Algorithms can be Read Online from any device for your convenience.
MM Optimization Algorithms Book PDF Summary
MM Optimization Algorithms?offers an overview of the MM principle, a device for deriving optimization algorithms satisfying the ascent or descent property. These algorithms can separate the variables of a problem, avoid large matrix inversions, linearize a problem, restore symmetry, deal with equality and inequality constraints gracefully, and turn a nondifferentiable problem into a smooth problem.? The author presents the first extended treatment of MM algorithms, which are ideal for high-dimensional optimization problems in data mining, imaging, and genomics; derives numerous algorithms from a broad diversity of application areas, with a particular emphasis on statistics, biology, and data mining; and summarizes a large amount of literature that has not reached book form before.?
Detail Book of MM Optimization Algorithms PDF
- Author : Kenneth Lange
- Release : 11 July 2016
- Publisher : SIAM
- ISBN : 9781611974393
- Genre : Mathematics
- Total Page : 229 pages
- Language : English
- PDF File Size : 9,8 Mb
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