Results 81 to 90 of about 19,030 (190)
In this paper, we introduce and study a modified inertial subgradient extragradient iterative algorithm for solving bilevel split quasimonotone variational inequality problems with a fixed point constraint of demimetric mappings in the framework of real ...
J. A. Abuchu +4 more
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Can Omitted Carbon Abatement Explain Productivity Stagnation?
ABSTRACT Explaining the secular stagnation of productivity growth is a widely recognized challenge to economists and policymakers. One potentially important explanation without much attention concerns the ongoing low‐carbon transition. This paper explores whether considering greenhouse gas emissions can explain productivity stagnation in OECD countries.
Sheng Dai, Timo Kuosmanen, Xun Zhou
wiley +1 more source
A Hybrid Approach of Bundle and Benders Applied Large Mixed Linear Integer Problem
Consider a large mixed integer linear problem where structure of the constraint matrix is sparse, with independent blocks, and coupling constraints and variables.
Placido Rogerio Pinheiro +1 more
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Primal-dual Subgradient Methods for Convex Problems [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The Jacobian Consistency of a One-Parametric Class of Smoothing Functions for SOCCP
Second-order cone (SOC) complementarity functions and their smoothing functions have been much studied in the solution of second-order cone complementarity problems (SOCCP).
Xiaoni Chi, Zhongping Wan, Zijun Hao
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The Modified Spectral Projected Subgradient (MSPS) was proposed to solve Langrangen Dual Problems, and its convergence was shown when the momentum term was zero. The MSPS uses a momentum term in order to speed up its convergence.
Milagros Loreto +3 more
doaj
In this work, we present a Krasnosel’skiǐ–Mann-type subgradient extragradient algorithm to solve variational inequalities and hierarchical fixed-point problems for nonexpansive and quasi-nonexpansive mappings in Hilbert spaces.
Monairah Alansari +2 more
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Simple Synchronous and Asynchronous Algorithms for Distributed Minimax Optimization
Synchronous and asynchronous algorithms are presented for distributed minimax optimization. The objective here is to realize the minimization of the maximum of component functions over the standard multi-agent network, where each node of the network ...
Kenta Hanada +3 more
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Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization
42 pages, 7 ...
Li, Hanyang, Cui, Ying
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A new modified deflected subgradient method
Abstract A new deflected subgradient algorithm is presented for computing a tighter lower bound of the dual problem. These bounds may be useful in nodes evaluation in a Branch and Bound algorithm to find the optimal solution of large-scale integer linear programming problems.
Rachid Belgacem, Abdessamad Amir
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