Results 31 to 40 of about 2,134,101 (207)
Non-convex mixed-integer nonlinear programming : a survey [PDF]
, 2012 A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint functions are convex, some quite effective exact and heuristic algorithms are ...
Burer, S, Letchford, Adam
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A Note on Optimality Conditions for DC Programs Involving Composite Functions
Abstract and Applied Analysis, 2014 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
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Journal of Inequalities and Applications, 2019 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
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Convex Matroid Optimization [PDF]
SIAM Journal on Discrete Mathematics, 2003 We consider a problem of optimizing convex functionals over matroid bases. It is richly expressive and captures certain quadratic assignment and clustering problems. While generally NP-hard, we show it is polynomial time solvable when a suitable parameter is restricted.
openaire +3 more sources
Randomized gradient-free methods in convex optimization [PDF]
, 2023 This review presents modern gradient-free methods to solve convex optimization problems. By gradient-free methods, we mean those that use only (noisy) realizations of the objective value.
Dvurechensky, Pavel +5 more
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ROBOTIC MOTION PLANNING USING CONVEX OPTIMIZATION METHODS
Iraqi Journal for Computers and Informatics, 2019 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
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Some Inequalities of Generalized p-Convex Functions concerning Raina’s Fractional Integral Operators
Journal of Mathematics, 2021 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
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Convex optimization using quantum oracles [PDF]
Quantum, 2020 We study to what extent quantum algorithms can speed up solving convex optimization problems. Following the classical literature we assume access to a convex set via various oracles, and we examine the efficiency of reductions between the different ...
Joran van Apeldoorn +3 more
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Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods [PDF]
, 2009 In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints.
de Leeuw, Jan +6 more
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Journal of Statistical Software, 2014 Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R .
Roger Koenker, Ivan Mizera
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