A structured quasi-Newton algorithm with nonmonotone search strategy for structured NLS problems and its application in robotic motion control
From MaRDI portal
Publication:2029652
DOI10.1016/j.cam.2021.113582zbMath1467.93227OpenAlexW3154158382MaRDI QIDQ2029652
Mahmoud Muhammad Yahaya, Aliyu Muhammed Awwal, Sani Aji, Poom Kumam
Publication date: 3 June 2021
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.2021.113582
Related Items (8)
An efficient DY-type spectral conjugate gradient method for system of nonlinear monotone equations with application in signal recovery ⋮ A new sufficiently descent algorithm for pseudomonotone nonlinear operator equations and signal reconstruction ⋮ Structured adaptive spectral-based algorithms for nonlinear least squares problems with robotic arm modelling applications ⋮ Nonmonotone quasi-Newton-based conjugate gradient methods with application to signal processing ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Globally convergent diagonal Polak-Ribière-Polyak like algorithm for nonlinear equations ⋮ Structured diagonal Gauss-Newton method for nonlinear least squares
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Local analysis of a spectral correction for the Gauss-Newton model applied to quadratic residual problems
- A literature survey of benchmark functions for global optimisation problems
- Gradient based and least squares based iterative algorithms for matrix equations \(AXB + CX^{T}D = F\)
- An adaptive scaled BFGS method for unconstrained optimization
- A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization
- Some numerical experiments with variable-storage quasi-Newton algorithms
- Nonlinear optimization with engineering applications
- Gradient based iterative solutions for general linear matrix equations
- General four-step discrete-time zeroing and derivative dynamics applied to time-varying nonlinear optimization
- Two-stage least squares based iterative estimation algorithm for CARARMA system modeling
- A double parameter scaled BFGS method for unconstrained optimization
- A structured diagonal Hessian approximation method with evaluation complexity analysis for nonlinear least squares
- Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization
- Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model
- Scaled nonlinear conjugate gradient methods for nonlinear least squares problems
- Application of the Newton iteration algorithm to the parameter estimation for dynamical systems
- A diagonal quasi-Newton updating method for unconstrained optimization
- Structured two-point stepsize gradient methods for nonlinear least squares
- The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
- Sizing and Least-Change Secant Methods
- Testing Unconstrained Optimization Software
- Quasi-Newton Methods, Motivation and Theory
- On the Use of Product Structure in Secant Methods for Nonlinear Least Squares Problems
- A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
- The Quasi-Cauchy Relation and Diagonal Updating
- Benchmarking optimization software with performance profiles.
- Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition
This page was built for publication: A structured quasi-Newton algorithm with nonmonotone search strategy for structured NLS problems and its application in robotic motion control
