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m Robot - Moving category Optimization to Mathematical optimization per CFD at Wikipedia:Categories for discussion/Log/2008 August 14. |
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GPs have numerous application, such as circuit sizing and parameter estimation via logistic regression in statistics. The [[maximum likelihood]] estimator in [[logistic regression]] is a GP.
==Convex form==
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then <math>f(x) = \sum_{k=1}^K e^{a_k^T y + b_k}</math>, where <math>a_k = (a_{1k},\dots,a_{nk} )</math> and <math>b_k = \log{c_k} </math>. After the change of variables, a posynomial becomes a sum of exponentials of affine functions.
[[Category:Mathematical optimization]]▼
==External links==
* S. Boyd, S. J. Kim, L. Vandenberghe, and A. Hassibi, [http://www.stanford.edu/~boyd/gp_tutorial.html A Tutorial on Geometric Programming]
* S. Boyd, S. J. Kim, D. Patil, and M. Horowitz [http://www.stanford.edu/~boyd/gp_digital_ckt.html Digital Circuit Optimization via Geometric Programming]
▲[[Category:Mathematical optimization]]
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