Electronic Resource
Springer
Journal of optimization theory and applications
90 (1996), S. 203-212
ISSN:
1573-2878
Keywords:
Nondifferentiable optimization
;
locally Lipschitz functions
;
generalized gradients
;
global convergence methods
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract In this paper, we present an algorithm for minimizing a class of locally Lipschitz functions. The method generalized the ε-smeared method to a class of functions whose Clarke generalized gradients are singleton at almost all differentiable poinst. We analyze the global convergence of the method and report some numerical results.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02192253
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