Keyword: programming: convex
Robust reliable guaranteed cost control for uncertain T-S fuzzy neutral systems with interval time-varying delay and linear fractional perturbations
The robust reliable guaranteed cost control for Takagi–Sugeno fuzzy systems with...
A new partial splitting augmented Lagrangian method for minimizing the sum of three convex functions
In this paper, we propose a new partial splitting augmented Lagrangian method for...
Sufficiency and duality for multiobjective variational control problems with G-invexity
Antczak introduced vector‐valued G ‐invex functions in 2009, which is a...
Rhoades type fixed point theorems for two hybrid pairs of mappings in metrically convex spaces
The present paper establishes some common fixed point theorems for two hybrid pairs of...
Default probabilities of a holding company, with complete and partial information
This paper studies the valuation of credit risk for firms that own several...
Convergence of a general algorithm of asymptotically nonexpansive maps in uniformly convex hyperbolic spaces
Khan A R
In this paper, we establish convergence theorems for a general algorithm of an...
Computing the region of convergence for power series in many real variables: A ratio-like test
Van Gorder Robert A
We give an elementary proof that the region of convergence for a power series in many...
A modified Polak‐Ribière‐Polyak conjugate gradient algorithm for nonsmooth convex programs
The conjugate gradient (CG) method is one of the most popular methods for solving...
A convex optimization method to solve a filter design problem
Le Thanh Hieu
In this paper, we formulate the feasibility problem corresponding to a filter design...
Conditional gradient Tikhonov method for a convex optimization problem in image restoration
In this paper, we consider the problem of image restoration with Tikhonov...
Quasi-Newton’s method for multiobjective optimization
In this paper we present a quasi‐Newton’s method for unconstrained...
B-splines methods with redefined basis functions for solving fourth order parabolic partial differential equations
Mittal R C
In this work, we discuss two methods for solving a fourth order parabolic partial...
A DC programming approach for planning a multisensor multizone search for a target
Pham Dinh Tao
In this paper, we consider a well‐known problem in the general area of search...
A note on iterative process for G 2-multi degree reduction of Bézier curves
In the paper [A. Rababah, S. Mann, Iterative process for G 2 ‐multi degree...
Method of conjugate subgradients with constrained memory
A method to solve the convex problems of nondifferentiable optimization relying on the...
On reduction of the two-stage problem of quantile optimization to the problem of convex programming
Consideration was given to the two‐stage problem of stochastic programming with...
Optimality Conditions and Characterizations of the Solution Sets in Generalized Convex Problems and Variational Inequalities
We derive necessary and sufficient conditions for optimality of a problem with a...
Continuous location of an assembly station
Demand existing at client points in the plane for several products should be met....
Convex analytic approach to constrained discounted Markov decision processes with non‐constant discount factors
In this paper we develop the convex analytic approach to a discounted...
A nonmonotone approximate sequence algorithm for unconstrained nonlinear optimization
A new nonmonotone algorithm is proposed and analyzed for unconstrained nonlinear...
Certification aspects of the fast gradient method for solving the dual of parametric convex programs
This paper examines the computational complexity certification of the fast gradient...
Global behavior of a two‐dimensional competitive system of difference equations with stocking
Kulenovic M R S
We investigate the global dynamics of solutions of competitive rational systems of...
Combining Lagrangian decomposition and excessive gap smoothing technique for solving large‐scale separable convex optimization problems
A new algorithm for solving large‐scale convex optimization problems with a...
An Inexact Accelerated Proximal Gradient Method and a Dual Newton‐CG Method for the Maximal Entropy Problem
This paper describes an algorithm to solve large‐scale maximal entropy...
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