Quasi-convex optimization
β Scribed by Vasant A. Ubhaya
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 471 KB
- Volume
- 116
- Category
- Article
- ISSN
- 0022-247X
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β¦ Synopsis
Given a bounded real function f defined on a closed bounded real interval/, the problem is to find a quasi-convex function f' so as to minimize the supremum of If(s)-f'(s)] for all s in L over the class of all quasi-convex functions f' on L This article obtains optimal solutions to the problem and derives their properties. This problem arises in the context of curve fitting or estimation.
π SIMILAR VOLUMES
We introduce two classes of discrete quasiconvex functions, called quasi M-and L-convex functions, by generalizing the concepts of M-and L-convexity due to Murota (Adv. Math. 124 (1996) 272) and (Math. Programming 83 (1998) 313). We investigate the structure of quasi Mand L-convex functions with res
A single grid algorithm which constructs the value function and the optimal synthesis, based on a local quasi-differential approximations of the Hamilton-Jacobi equation, is considered. The optimal synthesis is generated by the method of extremal translation in the direction of generalized gradients
## Communicated by F. Clarke Abstract--We establish necessary and sufficient optimality conditions for quasi-convex programming. First, we treat some properties of the normal cone to the level set of a lower semicontinuous quasi-convex function defined on a Banach space. Next, we get our condition