Add to ORKG"The purpose of this thesis is to propose, by a variety of techniques from nonsmooth and convex analysis, numerical methods for the solution of nonsmooth equations and nonconvex minimization problems arising in mathematical programming, economics, engineering, and sciences."Doctor of Philosoph
The nonsmooth optimization methods can mainly be divided into two groups: subgradient and bundle met...
Nonsmooth optimisation problems are problems which deal with minimisation or maximisation of functio...
In this survey paper we present some results obtained in the Centre for Informatics and Applied Opti...
In this thesis, various numerical methods are developed to solve nonsmooth and in particular, noncon...
Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization a...
This is a summary of the author's PhD thesis supervised by Manlio Gaudioso and Maria Flavia Monaco a...
This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentia...
This chapter is devoted to algorithms for solving nonsmooth unconstrained difference of convex optim...
http://deepblue.lib.umich.edu/bitstream/2027.42/3639/5/bbm0223.0001.001.pdfhttp://deepblue.lib.umich...
Since nonsmooth optimization problems arise in a diverse range of real-world applications, the poten...
Summarization: The impact and the usefulness of difference convex optimization techniques for the nu...
Attempts to be the first easy-to-read book about nonsmooth optimization Covers both the theory and ...
This thesis is devoted to the development of algorithms for solving nonsmooth nonconvex problems. So...
We present a new approach for solving nonsmooth optimization problems and a system of nonsmooth equ...
MasterThis course starts with the presentation of the optimality conditions of an optimization probl...
The nonsmooth optimization methods can mainly be divided into two groups: subgradient and bundle met...
Nonsmooth optimisation problems are problems which deal with minimisation or maximisation of functio...
In this survey paper we present some results obtained in the Centre for Informatics and Applied Opti...
In this thesis, various numerical methods are developed to solve nonsmooth and in particular, noncon...
Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization a...
This is a summary of the author's PhD thesis supervised by Manlio Gaudioso and Maria Flavia Monaco a...
This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentia...
This chapter is devoted to algorithms for solving nonsmooth unconstrained difference of convex optim...
http://deepblue.lib.umich.edu/bitstream/2027.42/3639/5/bbm0223.0001.001.pdfhttp://deepblue.lib.umich...
Since nonsmooth optimization problems arise in a diverse range of real-world applications, the poten...
Summarization: The impact and the usefulness of difference convex optimization techniques for the nu...
Attempts to be the first easy-to-read book about nonsmooth optimization Covers both the theory and ...
This thesis is devoted to the development of algorithms for solving nonsmooth nonconvex problems. So...
We present a new approach for solving nonsmooth optimization problems and a system of nonsmooth equ...
MasterThis course starts with the presentation of the optimality conditions of an optimization probl...
The nonsmooth optimization methods can mainly be divided into two groups: subgradient and bundle met...
Nonsmooth optimisation problems are problems which deal with minimisation or maximisation of functio...
In this survey paper we present some results obtained in the Centre for Informatics and Applied Opti...