Trending Research
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms
Consequently, benchmarking studies using the seminal AC Optimal Power Flow (AC-OPF) problem have emerged as the primary method for evaluating these emerging methods.
Optimization and Control
Branch and Price for the Length-Constrained Cycle Partition Problem
The length-constrained cycle partition problem (LCCP) is a graph optimization problem in which a set of nodes must be partitioned into a minimum number of cycles.
Optimization and Control Discrete Mathematics
GPU Accelerated Security Constrained Optimal Power Flow
degleris1/zap
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We propose a GPU accelerated proximal message passing algorithm for solving contingency-constrained DC optimal power flow problems (OPF).
Optimization and Control
Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
The key contribution is a novel method, based on the alternating direction method of multipliers, for solving the non-convex optimal control problem that arises due to the PWA dynamics.
Optimization and Control Systems and Control Systems and Control
Abaqus implementation of a large family of finite viscoelasticity models
In this paper, we introduce an Abaqus UMAT subroutine for a family of constitutive models for the viscoelastic response of isotropic elastomers of any compressibility -- including fully incompressible elastomers -- undergoing finite deformations.
Numerical Analysis Soft Condensed Matter Numerical Analysis
Model Predictive Control using MATLAB
This tutorial consists of a brief introduction to the modern control approach called model predictive control (MPC) and its numerical implementation using MATLAB.
Optimization and Control
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
nasheydari/HypOp
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Scalable addressing of high dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines.
Optimization and Control Distributed, Parallel, and Cluster Computing
A universal matrix-free split preconditioner for the fixed-point iterative solution of non-symmetric linear systems
ivovellekoop/anysim_cluster
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It guarantees monotonic convergence of the memory-efficient fixed-point iteration for all accretive systems of the form $A = L + V$, where $L$ is an approximation of $A$, and the system is scaled so that the discrepancy is bounded with $\lVert V \rVert<1$.
Numerical Analysis Numerical Analysis Computational Physics 65F08
On the number of subproblem iterations per coupling step in partitioned fluid-structure interaction simulations
In this work, we demonstrate that these internal iterations have a significant influence on the computational cost of the coupled simulation.
Numerical Analysis Computational Engineering, Finance, and Science Numerical Analysis
Hessian-free ray-born inversion for quantitative ultrasound tomography
In [3], the linear subproblem associated with each frequency set is solved via an implicit and iterative inversion of the Hessian matrix (inner iterations).
Numerical Analysis Numerical Analysis 34A55, 45Q05, 65L09, 86A22
