Results 81 to 90 of about 1,963,970 (223)
Journal of Inequalities and Applications, 2019 To solve large-scale unconstrained optimization problems, a modified PRP conjugate gradient algorithm is proposed and is found to be interesting because it combines the steepest descent algorithm with the conjugate gradient method and successfully fully ...
Gonglin Yuan, Tingting Li, Wujie Hu
doaj +1 more source
ACR Open Rheumatology, Volume 8, Issue 10, October 2026.Objective IgG4‐related disease (RD) demonstrates ethnic variations in phenotype, but data from diverse US populations are limited. We characterized ethnic differences in organ involvement and evaluated predictors of treatment response in a multiethnic cohort.
Young Min Cho +5 more
wiley +1 more source
First-Order Conditions for C0,1 Constrained vector optimization [PDF]
For a Fritz John type vector optimization problem with C0,1 data we define different type of solutions, give their scalar characterizations applying the so called oriented distance, and give necessary and sufficient first order optimality conditions in ...
Rocca Matteo +2 more
core
Solution Existence and Compactness Analysis for Nonsmooth Optimization Problems [PDF]
This paper is concerned with the analysis of geometrical properties and behaviors of the optimal value and global optimal solutions for a class of nonsmooth optimization problems.
Anh, NLH, Chuong, TD, Hung, NC
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An inexact modified subgradient algorithm for nonconvex optimization [PDF]
, 2008 Nonconvex optimization, Nonsmooth optimization, Sharp augmented Lagrangian, Modified subgradient method, Inexact minimization, Bang-bang control,
Musa Mammadov +5 more
core +1 more source
Editorial for the Special Issue on “Recent Advances in Nonsmooth Optimization and Analysis”
AlgorithmsIn recent years, nonsmooth optimization and analysis have seen remarkable advancements, significantly impacting various scientific and engineering disciplines [...]
Sorin-Mihai Grad
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Advanced Intelligent Discovery, Volume 2, Issue 5, October 2026.This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
On Constraint Qualifications and Optimality Conditions in Nonsmooth Semi-infinite Optimization [PDF]
Control and Optimization in Applied MathematicsThe primary objective of this paper is to enhance several well-known geometric constraint qualifications and necessary optimality conditions for nonsmooth semi-infinite optimization problems (SIPs).
Atefeh Hassani Bafrani
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Random Carbon Tax Policy and Investment Into Emission Abatement Technologies
Mathematical Finance, Volume 36, Issue 4, Page 804-825, October 2026.ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri +2 more
wiley +1 more source
Shock and Vibration, 2020 In the structural topology optimization approaches, the Moving Morphable Component (MMC) is a new method to obtain the optimized structural topologies by optimizing shapes, sizes, and locations of components.
Ruichao Lian +4 more
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