Results 101 to 110 of about 39,060 (206)

Quantum Time‐Marching Algorithms for Solving Linear Transport Problems Including Boundary Conditions

International Journal for Numerical Methods in Engineering, Volume 127, Issue 8, 30 April 2026.
ABSTRACT This article presents the first complete application of a quantum time‐marching algorithm for simulating multidimensional linear transport phenomena with arbitrary boundaries, whereby the success probabilities are problem intrinsic. The method adapts the linear combination of unitaries algorithm to block encode the diffusive dynamics, while ...
Sergio Bengoechea, Paul Over, Thomas Rung   +2 more
wiley   +1 more source

Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net

International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley   +1 more source

Methods of Nonconvex Optimization

First published in Russian by Nauka, Moscow, 1987. 280 p.
Mikhalevich, V. S., Gupal, A. M., Norkin, V. I.   +2 more
openaire   +2 more sources

On the Solution of a Nonconvex Fractional Quadratic Problem

Journal of Mathematical Extension, 2015
In this paper, we give an algorithm for solving a class of nonconvex quadratic fractional problems that may arise during a correction of inconsistent set of linear inequalities.
S. Ketabchi, M. Salahi, M. Behboodi-Kahoo   +2 more
doaj  

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

Optimal Control of Nonconvex Differential Inclusions [PDF]

, 2007
The paper deals with dynamic optimization problems of the Bolza and Mayer types for evolution systems governed by nonconvex Lipschitzian differential inclusions in Banach spaces under endpoint constraints described by finitely many equalities and inequalities with generally nonsmooth functions.
openaire   +2 more sources

A New Proximal Iteratively Reweighted Nuclear Norm Method for Nonconvex Nonsmooth Optimization Problems

Mathematics
This paper proposes a new proximal iteratively reweighted nuclear norm method for a class of nonconvex and nonsmooth optimization problems. The primary contribution of this work is the incorporation of line search technique based on dimensionality ...
Zhili Ge, Siyu Zhang, Xin Zhang, Yan Cui
doaj   +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

The Proximal Alternating Direction Method of Multipliers for a Class of Nonlinear Constrained Optimization Problems

Mathematics
This 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

NonOpt: Nonconvex, Nonsmooth Optimizer

NonOpt, a C++ software package for minimizing locally Lipschitz objective functions, is presented. The software is intended primarily for minimizing objective functions that are nonconvex and/or nonsmooth. The package has implementations of two main algorithmic strategies: a gradient-sampling and a proximal-bundle method.
Curtis, Frank E., Zebiane, Lara
openaire   +2 more sources