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'Parametric Optimization: Embeddings, Path Following and Singularities' published in 'Encyclopedia of Optimization'
After a brief introduction to the Painlevé property for ordinary differential equations, we present a concise review of the various methods of singularity ...
We explore an original approach to represent boundaries of objects based on mixture of densities in parametrized submanifolds embedded in ℝn .
Parametric Optimization: Singularities, Pathfollowing and ...
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Book overview. Explores optimization problems in which some or all of the individual data involved depends on one parameter. Beginning with a ...
Missing: Embeddings, Path
Bibliographic details on Parametric Optimization: Embeddings, Path Following and Singularities.
Dec 13, 1996 · This condition eliminates the one-parametric problems, which contain singularities where it is imposible to jump to another connected component ...
Most path-following algorithms for tracing a solution path of a parametric nonlinear optimization problem are only certifiably convergent under strong ...
1996. In this paper we consider three embeddings one parametric optimization ... Parametric Optimization: Singularities, Pathfollowing and Jumps ... Using an active ...
Research: optimization and optimal control of stochastic systems, mathematical models of risk and risk-averse optimization, statistics, numerical techniques.
Full article: Embedding methods for solving variational inequalities
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Abstract. Variational inequality problems (VIP) are an important class of mathematical problems that appear in many practical situations.