Chapter vii nondifferentiable optimization
C Lemar�chal�- Handbooks in operations research and management�…, 1989 - Elsevier
Publisher Summary This chapter discusses the nondifferentiable optimization (NDO).
Nondifferentiable optimization or nonsmooth optimization (NSO) deals with the situations in …
Nondifferentiable optimization or nonsmooth optimization (NSO) deals with the situations in …
Nondifferentiable optimization
J Zowe�- Computational Mathematical Programming, 1985 - Springer
… Then we can compute at least one subgradient at each point of nondifferentiability; see
definition (1.4). Consequently the general assumption for the following seems to be rather natural…
definition (1.4). Consequently the general assumption for the following seems to be rather natural…
[BOOK][B] Nondifferentiable optimization and polynomial problems
NZ Shor - 2013 - books.google.com
… "Quadratic extremal problems and nondifferentiable optimization" - Kiev, … optimization
from the date of edition of this book. The variety of applications of nondifferentiable optimization …
from the date of edition of this book. The variety of applications of nondifferentiable optimization …
[BOOK][B] Methods of descent for nondifferentiable optimization
KC Kiwiel - 2006 - books.google.com
… about numerical methods for nondifferentiable optimization. Nondifferentiable optimization,
also … In this section we describe general properties of nondifferentiable optimization problems …
also … In this section we describe general properties of nondifferentiable optimization problems …
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Nondifferentiable optimization by smooth approximations
BD Craven�- Optimization, 1986 - Taylor & Francis
Necessary Lagrangian conditions are obtained for nonsmooth optimization problems, involving
locally Lipschitz functions and arbitrary convex cones.The approach is by a sequence of …
locally Lipschitz functions and arbitrary convex cones.The approach is by a sequence of …
[BOOK][B] Modern nonconvex nondifferentiable optimization
… concepts in the local theory of nonsmooth nondifferentiable optimization. (3) We intend to …
; furthermore, there remain many optimization problems with locally Lipschitz continuous …
; furthermore, there remain many optimization problems with locally Lipschitz continuous …
On the mathematical foundations of nondifferentiable optimization in engineering design
E Polak�- SIAM review, 1987 - SIAM
… nondifferentiable optimization algorithms (such as [Lem. ], [Lem.2], [Lem.3], [Mif. ], [Kiw. ], …
In this paper we present an axiomatic approach to a class of nondifferentiable optimization …
In this paper we present an axiomatic approach to a class of nondifferentiable optimization …
Progress in nondifferentiable optimization
EA Nurminski - 1982 - pure.iiasa.ac.at
… these fields by helping to solve optimization problems arising in … programming and for
nondifferentiable optimization. In the … meeting on nondifferentiable optimization, a field whose …
nondifferentiable optimization. In the … meeting on nondifferentiable optimization, a field whose …
Incremental subgradient methods for nondifferentiable optimization
A Nedic, DP Bertsekas�- SIAM Journal on Optimization, 2001 - SIAM
… Nonetheless, the idea of using randomization in the context of deterministic nondifferentiable
optimization is original and much of our analysis, particularly the part that relates to the …
optimization is original and much of our analysis, particularly the part that relates to the …
A model algorithm for composite nondifferentiable optimization problems
R Fletcher�- …�and Variational Techniques in Optimization, 1982 - Springer
Composite functions ϕ(x)=f(x)+h(c(x)), where f and c are smooth and h is convex, encompass
many nondifferentiable optimization problems of interest including exact penalty functions …
many nondifferentiable optimization problems of interest including exact penalty functions …