
doi: 10.1002/oca.745
AbstractThe Tent Method solves different extremal problems (minima and maxima of smooth functions, minimax problems, optimization problems, etc.). A detailed description of the Method with its geometrical and topological foundations is given. The Tent Method has application to optimization problems; in particular, it allows to prove the Maximum Principle. The last section contains the sufficient condition of optimality (in a revised form) and the robust optimization problems. We show that the regular synthesis (which is the main instrument in the sufficient conditions of optimality) ensures the robustness. The text is illustrated by figures and examples. Copyright © 2004 John Wiley & Sons, Ltd.
Optimality conditions for minimax problems, maximum principle, Nonsmooth analysis, Sensitivity (robustness), Research exposition (monographs, survey articles) pertaining to calculus of variations and optimal control, robustness, Optimality conditions and duality in mathematical programming, Optimality conditions for problems involving ordinary differential equations, optimization, tent method
Optimality conditions for minimax problems, maximum principle, Nonsmooth analysis, Sensitivity (robustness), Research exposition (monographs, survey articles) pertaining to calculus of variations and optimal control, robustness, Optimality conditions and duality in mathematical programming, Optimality conditions for problems involving ordinary differential equations, optimization, tent method
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
