Results 121 to 130 of about 1,804,722 (202)
Sparse Blind Deconvolution with Nonconvex Optimization for Ultrasonic NDT Application. [PDF]
Sensors (Basel), 2020 Gao X, Shi Y, Du K, Zhu Q, Zhang W.
europepmc +1 more source
Optimizing Enterprise Capital Structure Allocation Using the NSGA‐III Algorithm
Engineering Reports, Volume 8, Issue 9, September 2026.This work applies the NSGA‐III algorithm with nondominated sorting and reference‐point guidance to corporate capital‐structure optimization, tackling uneven Pareto‐front distribution and low convergence efficiency in high‐dimensional multiobjective optimization.
Bing Li
wiley +1 more source
Second-order mollified derivatives and optimization [PDF]
The class of strongly semicontinuous functions is considered. For these functions the notion of mollified derivatives, introduced by Ermoliev, Norkin and Wets, is extended to the second order.
Rocca Matteo +2 more
core
MathematicsThis paper presents a class of proximal alternating direction multiplier methods for solving nonconvex, nonsmooth optimization problems with nonlinear coupled constraints.
Ruiling Luo, Zhensheng Yu
doaj +1 more source
Field‐Based Spatial Self‐Registration of Multicoil Hardware for B0 Field Control
Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1474-1485, September 2026.ABSTRACT Purpose To develop and validate a magnetic field‐based method for self‐registration of multicoil (MC) shim hardware in MRI systems, enabling accurate B0 field control despite nonreproducible hardware placement between calibration and experimental sessions.
Isabelle Zinghini +4 more
wiley +1 more source
NOISY MATRIX COMPLETION: UNDERSTANDING STATISTICAL GUARANTEES FOR CONVEX RELAXATION VIA NONCONVEX OPTIMIZATION. [PDF]
SIAM J Optim, 2020 Chen Y, Chi Y, Fan J, Ma C, Yan Y.
europepmc +1 more source
Continuation Methods for Higher‐Order Topology Optimization
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 3, September 2026.ABSTRACT We aim to solve a topology optimization problem where the distribution of material in the design domain is represented by a density function. To obtain candidates for local minima, we want to solve the first‐order optimality system via Newton's method.
Michael Winkler, Peter Gangl
wiley +1 more source
Nonconvex Optimization Methods: Iteration Complexity And Applications
, 2020 University of Minnesota Ph.D. dissertation.May 2020. Major: Industrial and Systems Engineering. Advisor: Shuzhong Zhang. 1 computer file (PDF); 152 pages.Nowadays, optimization algorithms have become an essential tool for a large variety of applications
Zhang, Junyu
core
Artificial Intelligence for Engineering, Volume 2, Issue 3, Page 251-264, September 2026.Caputo‐based fPINNs accurately solve fractional ODEs and PDEs while exposing an accuracy–cost trade‐off driven by the history‐dependent fractional derivative. Temporal collocation and shorter time windows are the most effective strategies for improving early‐time accuracy without unnecessary spatial refinement.
Donya Dabiri +4 more
wiley +1 more source
Nonconvex Statistical Optimization
, 2018 Complex statistical models, combined with scalable computing architectures, are beginning to shed lights on the analysis of large, intricate, and noisy datasets. To glue these three components --- big data, big models, and big architectures --- we need a
Wang, Zhaoran
core