Two descent Dai-Yuan conjugate gradient methods for systems of monotone nonlinear equations
From MaRDI portal
Publication:2063152
DOI10.1007/s10915-021-01713-7zbMath1483.90161OpenAlexW4200556553MaRDI QIDQ2063152
Kabiru Ahmed, Mohammed Yusuf Waziri
Publication date: 10 January 2022
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-021-01713-7
Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Methods of quasi-Newton type (90C53) Numerical methods based on nonlinear programming (49M37) Eigenvalues, singular values, and eigenvectors (15A18)
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Cites Work
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- A simple three-term conjugate gradient algorithm for unconstrained optimization
- An optimal parameter for Dai-Liao family of conjugate gradient methods
- A descent Dai-Liao conjugate gradient method based on a modified secant equation and its global convergence
- Globally convergent modified Perry's conjugate gradient method
- A mixed spectral CD-DY conjugate gradient method
- Open problems in nonlinear conjugate gradient algorithms for unconstrained optimization
- A modified Perry's conjugate gradient method-based derivative-free method for solving large-scale nonlinear monotone equations
- Levenberg--Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints
- Subspace methods for large scale nonlinear equations and nonlinear least squares
- A truncated nonmonotone Gauss-Newton method for large-scale nonlinear least-squares problems
- New conjugacy condition and related new conjugate gradient methods for unconstrained optimization
- A new line search strategy for finding separating hyperplane in projection-based methods
- A globally convergent derivative-free method for solving large-scale nonlinear monotone equations
- A PRP type method for systems of monotone equations
- Tensor methods for large sparse systems of nonlinear equations
- New quasi-Newton equation and related methods for unconstrained optimization
- A new trust region method for nonlinear equations
- Globally convergent three-term conjugate gradient projection methods for solving nonlinear monotone equations
- A PRP-based residual method for large-scale monotone nonlinear equations
- A spectral algorithm for large-scale systems of nonlinear monotone equations
- A three-term conjugate gradient algorithm with quadratic convergence for unconstrained optimization problems
- A derivative-free conjugate gradient method and its global convergence for solving symmetric nonlinear equations
- Multivariate spectral gradient projection method for nonlinear monotone equations with convex constraints
- Two optimal Hager-Zhang conjugate gradient methods for solving monotone nonlinear equations
- On solving double direction methods for convex constrained monotone nonlinear equations with image restoration
- Enhanced Dai-Liao conjugate gradient methods for systems of monotone nonlinear equations
- A Dai-Liao conjugate gradient method via modified secant equation for system of nonlinear equations
- Descent Perry conjugate gradient methods for systems of monotone nonlinear equations
- A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing
- Convergence properties of an iterative method for solving symmetric non-linear equations
- A derivative-free method for solving large-scale nonlinear systems of equations
- A family of Hager-Zhang conjugate gradient methods for system of monotone nonlinear equations
- Modified three-term conjugate gradient method and its applications
- Self adaptive spectral conjugate gradient method for solving nonlinear monotone equations
- A three-terms Polak-Ribière-Polyak conjugate gradient algorithm for large-scale nonlinear equations
- Multivariate spectral DY-type projection method for convex constrained nonlinear monotone equations
- A scaled three-term conjugate gradient method for unconstrained optimization
- A descent extension of the Polak-Ribière-Polyak conjugate gradient method
- A scaled derivative-free projection method for solving nonlinear monotone equations
- A projection method for a system of nonlinear monotone equations with convex constraints
- Optimization theory and methods. Nonlinear programming
- Spectral gradient projection method for solving nonlinear monotone equations
- The Dai-Liao nonlinear conjugate gradient method with optimal parameter choices
- Signal recovery with convex constrained nonlinear monotone equations through conjugate gradient hybrid approach
- Monotonicity of Fixed Point and Normal Mappings Associated with Variational Inequality and Its Application
- A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization
- A nonlinear conjugate gradient method based on the MBFGS secant condition
- Two optimal Dai–Liao conjugate gradient methods
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Technical Note—A Modified Conjugate Gradient Algorithm
- On a Class of Nonlinear Integral Equations Arising in Transport Theory
- Numerical Optimization
- Newton-type Methods with Generalized Distances For Constrained Optimization
- Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization
- A New Dai-Liao Conjugate Gradient Method with Optimal Parameter Choice
- A derivative-free three-term projection algorithm involving spectral quotient for solving nonlinear monotone equations
- A Globally and Superlinearly Convergent Gauss--Newton-Based BFGS Method for Symmetric Nonlinear Equations
- A Nonmonotone Line Search Technique for Newton’s Method
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- Modified matrix-free methods for solving system of nonlinear equations
- The Hager–Zhang conjugate gradient algorithm for large-scale nonlinear equations
- A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
- Spectral residual method without gradient information for solving large-scale nonlinear systems of equations
- The conjugate gradient method in extremal problems
- A descent family of Dai–Liao conjugate gradient methods
- Methods of conjugate gradients for solving linear systems
- New conjugacy conditions and related nonlinear conjugate gradient methods
- Benchmarking optimization software with performance profiles.
