Summarization: The impact and the usefulness of difference convex optimization techniques for the numerical solution of problems arising in nonsmooth and nonconvex computational mechanics are investigated in this paper. Algorithms for the numerical solution of the problem are proposed and studied. The relation to the more general quasi- and co-differentiable optimization techniques is also discussed. The link to classical, smooth and nonsmooth computational mechanics’thms is also presentedΠαρουσιάστηκε στο: Optimization Methods and Softwar
Abstract Hemivariational inequality problems describe equilibrium points (solutions) for structural ...
The Boosted Difference of Convex functions Algorithm (BDCA) was recently proposed for minimizing smo...
The boosted difference of convex functions algorithm (BDCA) was recently proposed for minimizing smo...
Summarization: The impact of difference convex optimization techniques on structural analysis algori...
Summarization: Several extensions of smooth computational mechanics algorithms for the treatment of ...
Summarization: Nonconvex and nonsmooth optimization problems arise in advanced engineering analysis ...
This chapter is devoted to algorithms for solving nonsmooth unconstrained difference of convex optim...
International audienceThe splitting of functional into two convex functions provides a specific algo...
"The purpose of this thesis is to propose, by a variety of techniques from nonsmooth and convex anal...
http://deepblue.lib.umich.edu/bitstream/2027.42/3639/5/bbm0223.0001.001.pdfhttp://deepblue.lib.umich...
Summarization: Hemivariational inequality problems describe equilibrium points (solutions) for struc...
In this thesis, various numerical methods are developed to solve nonsmooth and in particular, noncon...
This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentia...
A method, called an augmented subgradient method, is developed to solve unconstrained nonsmooth diff...
This chapter is devoted to algorithms for solving nonsmooth unconstrained difference of convex optim...
Abstract Hemivariational inequality problems describe equilibrium points (solutions) for structural ...
The Boosted Difference of Convex functions Algorithm (BDCA) was recently proposed for minimizing smo...
The boosted difference of convex functions algorithm (BDCA) was recently proposed for minimizing smo...
Summarization: The impact of difference convex optimization techniques on structural analysis algori...
Summarization: Several extensions of smooth computational mechanics algorithms for the treatment of ...
Summarization: Nonconvex and nonsmooth optimization problems arise in advanced engineering analysis ...
This chapter is devoted to algorithms for solving nonsmooth unconstrained difference of convex optim...
International audienceThe splitting of functional into two convex functions provides a specific algo...
"The purpose of this thesis is to propose, by a variety of techniques from nonsmooth and convex anal...
http://deepblue.lib.umich.edu/bitstream/2027.42/3639/5/bbm0223.0001.001.pdfhttp://deepblue.lib.umich...
Summarization: Hemivariational inequality problems describe equilibrium points (solutions) for struc...
In this thesis, various numerical methods are developed to solve nonsmooth and in particular, noncon...
This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentia...
A method, called an augmented subgradient method, is developed to solve unconstrained nonsmooth diff...
This chapter is devoted to algorithms for solving nonsmooth unconstrained difference of convex optim...
Abstract Hemivariational inequality problems describe equilibrium points (solutions) for structural ...
The Boosted Difference of Convex functions Algorithm (BDCA) was recently proposed for minimizing smo...
The boosted difference of convex functions algorithm (BDCA) was recently proposed for minimizing smo...