[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 …
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 …
A sixth bibliography of fractional programming
IM Stancu-Minasian - Optimization, 2006 - Taylor & Francis
This bibliography of fractional programming is a continuation of five previous bibliographies
by the author (Pure Appl. Math. Sci.(India), Vol. XIII, No. 1–2, 35–69, March (1981); ibid. Vol …
by the author (Pure Appl. Math. Sci.(India), Vol. XIII, No. 1–2, 35–69, March (1981); ibid. Vol …
Joint relay assignment and energy‐efficiency maximization in energy‐harvesting downlink/uplink clustered nonorthogonal multiple‐access networks
MW Baidas - Transactions on Emerging Telecommunications …, 2020 - Wiley Online Library
In this article, the problem of joint relay assignment and energy‐efficiency maximization (J‐
RA‐EE‐MAX) in energy‐harvesting downlink (DL) and uplink (UL) clustered nonorthogonal …
RA‐EE‐MAX) in energy‐harvesting downlink (DL) and uplink (UL) clustered nonorthogonal …
An extension of branch-and-bound algorithm for solving sum-of-nonlinear-ratios problem
This paper is concerned with a problem of maximizing the sum of several ratios of functions.
We extend an algorithm, which has been designed to solve the sum-of-linear-ratios problem …
We extend an algorithm, which has been designed to solve the sum-of-linear-ratios problem …
Conical partition algorithm for maximizing the sum of dc ratios
The following problem is considered in this paper: max_ x ∈ d {Σ^ m_ j= 1 g_j (x)| h_j (x)\},\,
where\, g_j (x) ≧ 0\, and\, h_j (x)> 0, j= 1, ..., m, are dc (difference of convex) functions over a …
where\, g_j (x) ≧ 0\, and\, h_j (x)> 0, j= 1, ..., m, are dc (difference of convex) functions over a …
Dinkelbach Type Approximation Algorithms for Nonlinear Fractional Optimization Problems
In this paper we establish some approximation versions of the classical Dinkelbach
algorithm for nonlinear fractional optimization problems in Banach spaces. We start by …
algorithm for nonlinear fractional optimization problems in Banach spaces. We start by …
[图书][B] Semi-infinite fractional programming
RU Verma - 2017 - Springer
This monograph is aimed at presenting a smooth and unified transition from the general
fractional programming (or program) to the semi-infinite fractional programming (or …
fractional programming (or program) to the semi-infinite fractional programming (or …
Modified Dinkelbach-type algorithm for generalized fractional programs with infinitely many ratios
JY Lin, RL Sheu - Journal of optimization theory and applications, 2005 - Springer
In this paper, we extend the Dinkelbach-type algorithm of Crouzeix, Ferland, and Schaible to
solve minmax fractional programs with infinitely many ratios. Parallel to the case with finitely …
solve minmax fractional programs with infinitely many ratios. Parallel to the case with finitely …
Componentwise Dinkelbach algorithm for nonlinear fractional optimization problems
The paper deals with fractional optimization problems where the objective function (ratio of
two functions) is defined on a Cartesian product of two real normed spaces X and Y. Within …
two functions) is defined on a Cartesian product of two real normed spaces X and Y. Within …