General four-step discrete-time zeroing and derivative dynamics applied to time-varying nonlinear optimization
From MaRDI portal
Publication:1631443
DOI10.1016/j.cam.2018.08.017zbMath1440.90077OpenAlexW2888123880WikidataQ129348789 ScholiaQ129348789MaRDI QIDQ1631443
Yang Shi, Chaowei Hu, Jian Li, Jinjin Guo, Liu He, Yu-Nong Zhang
Publication date: 6 December 2018
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2018.08.017
time-varying nonlinear optimizationderivative dynamicsgeneral ZeaD formulazeroing dynamicsZhang et al. discretization
Related Items (16)
Relationship between time-instant number and precision of ZeaD formulas with proofs ⋮ A hybrid conjugate gradient based approach for solving unconstrained optimization and motion control problems ⋮ A structured Fletcher-Revees spectral conjugate gradient method for unconstrained optimization with application in robotic model ⋮ A new inertial-based method for solving pseudomonotone operator equations with application ⋮ Structured adaptive spectral-based algorithms for nonlinear least squares problems with robotic arm modelling applications ⋮ A hybrid HS-LS conjugate gradient algorithm for unconstrained optimization with applications in motion control and image recovery ⋮ Unnamed Item ⋮ Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization ⋮ A structured quasi-Newton algorithm with nonmonotone search strategy for structured NLS problems and its application in robotic motion control ⋮ New models for solving time-varying LU decomposition by using ZNN method and ZeaD formulas ⋮ An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations ⋮ Discrete-time Zhang neural networks for time-varying nonlinear optimization ⋮ General six-step discrete-time Zhang neural network for time-varying tensor absolute value equations ⋮ General five-step discrete-time Zhang neural network for time-varying nonlinear optimization ⋮ From Penrose equations to Zhang neural network, Getz-Marsden dynamic system, and DDD (direct derivative dynamics) using substitution technique ⋮ Globally convergent diagonal Polak-Ribière-Polyak like algorithm for nonlinear equations
Cites Work
- Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization
- Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization
- Inexact restoration method for nonlinear optimization without derivatives
- Global optimization algorithm for mixed integer quadratically constrained quadratic program
- Log-sigmoid nonlinear Lagrange method for nonlinear optimization problems over second-order cones
- Presentation, error analysis and numerical experiments on a group of 1-step-ahead numerical differentiation formulas
- Z-type neural-dynamics for time-varying nonlinear optimization under a linear equality constraint with robot application
- Evolution variational inequalities and projected dynamical systems with application to human migration
- Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization
- An Euler--Newton Continuation Method for Tracking Solution Trajectories of Parametric Variational Inequalities
- A Parametric Nonconvex Decomposition Algorithm for Real-Time and Distributed NMPC
- Real-Time Nonlinear Optimization as a Generalized Equation
- Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers
- A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
- Prediction-Correction Algorithms for Time-Varying Constrained Optimization
- Distributed Continuous-Time Convex Optimization With Time-Varying Cost Functions
- New conjugacy conditions and related nonlinear conjugate gradient methods
- A spectral conjugate gradient method for unconstrained optimization
- A new efficient conjugate gradient method for unconstrained optimization
This page was built for publication: General four-step discrete-time zeroing and derivative dynamics applied to time-varying nonlinear optimization
