New computer methods for global optimization
New computer methods for global optimization
Global optimization
On using estimates of Lipschitz constants in global optimization
Journal of Optimization Theory and Applications
A cell exclusion algorithm for determining all the solutions of a nonlinear system of equations
Applied Mathematics and Computation
Empirical Evaluation of Innovations in Interval Branch and Bound Algorithms for Nonlinear Systems
SIAM Journal on Scientific Computing
Subdivision Direction Selection in Interval Methods for Global Optimization
SIAM Journal on Numerical Analysis
NP-Hardness of Some Linear Control Design Problems
SIAM Journal on Control and Optimization
Applied Mathematics and Computation
Evaluating Lipschitz Constants for Functions Given by Algorithms
Computational Optimization and Applications
SIAM Journal on Optimization
Extension of Piyavskii‘s Algorithm to Continuous Global Optimization
Journal of Global Optimization
On the complexity of exclusion algorithms for optimization
Journal of Complexity
Journal of Computational and Applied Mathematics - Proceedings of the international conference on recent advances in computational mathematics
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
Optimal algorithms for global optimization in case of unknown Lipschitz constant
Journal of Complexity - Special issue: Algorithms and complexity for continuous problems Schloss Dagstuhl, Germany, September 2004
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Technical Communique: A global optimization technique for checking parametric robustness
Automatica (Journal of IFAC)
Lipschitz condition for finding real roots of a vector function
Journal of Computational Methods in Sciences and Engineering
A modification of the DIRECT method for Lipschitz global optimization for a symmetric function
Journal of Global Optimization
Hi-index | 7.29 |
Exclusion algorithms have been used recently to find all solutions of a system of nonlinear equations or to find the global minimum of a function over a compact domain. These algorithms are based on a minimization condition that can be applied to each cell in the domain. In this paper, we consider Lipschitz functions of order @a and give a new minimization condition for the exclusion algorithm. Furthermore, convergence and complexity results are presented for such algorithm.