On the number of iterations of Piyavskii's global optimization algorithm
Mathematics of Operations Research
Global optimization of univariate Lipschitz functions I: survey and properties
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
A new exclusion test for finding the global minimum
Journal of Computational and Applied Mathematics
Improved upper bound on the stretch factor of delaunay triangulations
Proceedings of the twenty-seventh annual symposium on Computational geometry
A modification of the DIRECT method for Lipschitz global optimization for a symmetric function
Journal of Global Optimization
Hi-index | 0.00 |
We use the simple, but little-known, result that a uniformly continuous function on a convex set is ϵ-Lipschitz (as defined below) to extend Piyavskii‘s algorithm for Lipschitz global optimization to the larger domain of continuous (not-necessarily-Lipschitz) global optimization.