[BOOK][B] Vector optimization
J Jahn - 2009 - Springer
The continuous and increasing interest concerning vector optimization perceptible in the
research community, where contributions dealing with the theory of duality abound lately …
research community, where contributions dealing with the theory of duality abound lately …
[BOOK][B] Generalized convexity and optimization: Theory and applications
A Cambini, L Martein - 2008 - books.google.com
Page 1 616 LECTURE NOTES IN ECONOMICS AND MATHEMATICAL SYSTEMS Alberto
Cambini Laura Martein Generalized Convexity and Optimization Theory and Applications Springer …
Cambini Laura Martein Generalized Convexity and Optimization Theory and Applications Springer …
[PDF][PDF] Recent developments in fractional programming: single-ratio and max-min case
S Schaible, J Shi - Nonlinear analysis and convex analysis, 2004 - academia.edu
We review some recent developments in single-ratio and generalized fractional
programming. In the latter case we focus on the maximization of the smallest of several …
programming. In the latter case we focus on the maximization of the smallest of several …
[BOOK][B] Generalized convexity, nonsmooth variational inequalities, and nonsmooth optimization
Until now, no book addressed convexity, monotonicity, and variational inequalities together.
Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization …
Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization …
Fractional programming: the sum-of-ratios case
S Schaible, J Shi - Optimization Methods and Software, 2003 - Taylor & Francis
One of the most difficult fractional programs encountered so far is the sum-of-ratios problem.
Contrary to earlier expectations it is much more removed from convex programming than …
Contrary to earlier expectations it is much more removed from convex programming than …
[PDF][PDF] Soft computing: overview and recent developments in fuzzy optimization
J Ramik - Ostravská univerzita, Listopad, 2001 - Citeseer
Soft Computing (SC) represents a significant paradigm shift in the aims of computing, which
reflects the fact that the human mind, unlike present day computers, possesses a remarkable …
reflects the fact that the human mind, unlike present day computers, possesses a remarkable …
[BOOK][B] Generalized concavity in fuzzy optimization and decision analysis
J Ramík, M Vlach - 2012 - books.google.com
Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of
beautiful theoretical results that are at the same time extremely useful in the analysis and …
beautiful theoretical results that are at the same time extremely useful in the analysis and …
What is quasiconvex analysis?
JP Penot - Optimization, 2000 - Taylor & Francis
What is quasiconvex analysis? Page 1 Oprimizarion. 2000, Vol. pp. 35-110 Reprinrs available
directly from the publisher Photcccpying p-zmimd by 5-e on!g 2000 OPA (Overseas Publishers …
directly from the publisher Photcccpying p-zmimd by 5-e on!g 2000 OPA (Overseas Publishers …
Inexact subgradient methods for quasi-convex optimization problems
In this paper, we consider a generic inexact subgradient algorithm to solve a
nondifferentiable quasi-convex constrained optimization problem. The inexactness stems …
nondifferentiable quasi-convex constrained optimization problem. The inexactness stems …
[BOOK][B] Duality for nonconvex approximation and optimization
I Singer - 2007 - books.google.com
The theory of convex optimization has been constantly develo** over the past 30 years.
Most recently, many researchers have been studying more complicated classes of problems …
Most recently, many researchers have been studying more complicated classes of problems …