New computer methods for global optimization
New computer methods for global optimization
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
Applied Mathematics and Computation
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
Journal of Computational and Applied Mathematics - Proceedings of the international conference on recent advances in computational mathematics
A new exclusion test for finding the global minimum
Journal of Computational and Applied Mathematics
Condition number based complexity estimate for computing local extrema
Journal of Computational and Applied Mathematics
Lipschitz condition for finding real roots of a vector function
Journal of Computational Methods in Sciences and Engineering
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Exclusion algorithms are a well-known tool in the area of interval analysis for finding all solutions of a system of nonlinear equations or for finding the global minimum of a function over a compact domain. The present paper discusses a new class of tests for such algorithms in the context of global optimization and presents complexity results concerning the resulting algorithms.