A max-min problem in the realm of optimum beam design is formulated and thoroughly investigated from a dynamic programming point of view. It is shown that the conditions of optimality can be directly derived from the Hamilton-Jacobi-Bellman equation of the process. The classical Euler-Lagrange equat
โฆ LIBER โฆ
Regularization of the min-max problems occurring in convex programming
โ Scribed by V.D. Skarin
- Publisher
- Elsevier Science
- Year
- 1977
- Weight
- 844 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0041-5553
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We extend previous results for the Neumann boundary value problem to the case of boundary data from the space H -1 2 +e (C), 0<e< 1 2 , where C = \*X is the boundary of a two-dimensional cone X with angle b<p. We prove that for these boundary conditions the solution of the Helmholtz equation in X ex