Applied Optimization and Approximation

Authors

  • Octav Olteanu Department of Mathematics - Informatics, University Politehnica of Bucharest, Bucharest, Romania

DOI:

https://doi.org/10.18488/journal.24/2014.3.4/24.4.37.48

Keywords:

Optimization, Kinematics, Gain function, Cost function, Approximation, Unbounded subsets, Markov moment problem

Abstract

The present work deals with optimization in kinematics, generalizing previous results of the author. A second theme is maximizing the constrained gain linear function and minimizing the constrained cost function. Elementary notions of optimal control are considered as well. Finally, polynomial approximation results on unbounded subsets in several variables are applied to the moment problem. The existence of the solution of a two dimensional moment problem is characterized in terms of quadratic forms.

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Published

2014-08-27

Issue

Vol. 3 No. 4 (2014)

Section

Articles

How to Cite

Applied Optimization and Approximation. (2014). International Journal of Mathematical Research, 3(4), 37-48. https://doi.org/10.18488/journal.24/2014.3.4/24.4.37.48