On constrained simulation and optimization by Metropolis chains
β Scribed by J. Yao
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 91 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
Given an everywhere positive probability measure on a ΓΏnite state space E and the associated energy function H , this note gives convergence results for time-inhomogeneous Metropolis chains which are used to simulate or minimize H under some constraints.
π SIMILAR VOLUMES
We present a highly optimized method for the elimination of linear variables from a Boolean combination of polynomial equations and inequalities. In contrast to the basic method described earlier, the practical applicability of the present method goes far beyond academic examples. The optimization i
Rcceivcd 7 July 1976 AnalyticA cxprcssions for the He-112 potential energy surface h.we been obtained by non-lmcar constrained optimiration techniques. \* Regarding methods for unconstrained minimization see e.g. ref. [4]. Descriptions of the subroutines BROMG and BROMSP and MINEQ (for constrained m