Mm Optimization Algorithms
毫米优化算法
运筹学售 价：
￥
971.00
发货周期：外国库房发货，通常付款后3-5周到货
作 者
出版时间
2016年07月30日
装 帧
平装
页 码
223
语 种
英文
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图书简介
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.
- Turn a non-differentiable problem into a smooth problem.
- 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.
- Summarizes a large amount of literature that has not reached book form before.
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