Results 31 to 40 of about 4,731,628 (237)
Projections Onto Convex Sets (POCS) Based Optimization by Lifting [PDF]
Two new optimization techniques based on projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented.
Bozkurt, A. +7 more
core +2 more sources
Manifold Optimization Over the Set of Doubly Stochastic Matrices: A Second-Order Geometry [PDF]
Convex optimization is a well-established research area with applications in almost all fields. Over the decades, multiple approaches have been proposed to solve convex programs.
Douik, Ahmed, Hassibi, Babak
core +2 more sources
A Rewriting System for Convex Optimization Problems [PDF]
We describe a modular rewriting system for translating optimization problems written in a domain-specific language to forms compatible with low-level solver interfaces.
Akshay Agrawal +3 more
semanticscholar +1 more source
Characterizations of the Solution Sets of Generalized Convex Fuzzy Optimization Problem
This paper provides some new characterizations of the solution sets for non-differentiable generalized convex fuzzy optimization problem. Firstly, we introduce some new generalized convex fuzzy functions and discuss the relationships among them. Secondly,
Chen Wang, Zhou Zhiang
doaj +1 more source
Distributed Time-Varying Convex Optimization for a Class of Nonlinear Multiagent Systems
This paper studies the distributed time-varying convex optimization problem for a class of nonlinear multiagent systems. An auxiliary system is first designed to estimate the global optimal state and its high-order derivatives by means of a distributed ...
Bomin Huang +3 more
semanticscholar +1 more source
A Note on Optimality Conditions for DC Programs Involving Composite Functions
By using the formula of the ε-subdifferential for the sum of a convex function with a composition of convex functions, some necessary and sufficient optimality conditions for a DC programming problem involving a composite function are obtained.
Xiang-Kai Sun, Hong-Yong Fu
doaj +1 more source
In this paper, we first introduce a new algorithm which involves projecting each iteration to solve a split feasibility problem with paramonotone equilibria and using unconstrained convex optimization.
Q. L. Dong +4 more
doaj +1 more source
ROBOTIC MOTION PLANNING USING CONVEX OPTIMIZATION METHODS
Collision avoidance techniques tend to derive the robot away of the obstacles in minimal total travel distance. Most of the collision avoidance algorithms have trouble get stuck in a local minimum.
Thaker Nayl
doaj +1 more source
Some Inequalities of Generalized p-Convex Functions concerning Raina’s Fractional Integral Operators
Convex functions play an important role in pure and applied mathematics specially in optimization theory. In this paper, we will deal with well-known class of convex functions named as generalized p-convex functions.
Changyue Chen +2 more
doaj +1 more source
Solving Multiobjective Mixed Integer Convex Optimization Problems
Multiobjective mixed integer convex optimization refers to mathematical programming problems where more than one convex objective function needs to be optimized simultaneously and some of the varia...
M. Santis +3 more
semanticscholar +1 more source

