Global convergence of a new sufficient descent spectral three-term conjugate gradient class for large-scale optimization
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Publication:5043843
DOI10.1080/10556788.2020.1843167zbMath1502.90170OpenAlexW3103325802MaRDI QIDQ5043843
Publication date: 6 October 2022
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2020.1843167
Large-scale problems in mathematical programming (90C06) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)
Related Items (2)
A family of the modified three-term Hestenes-Stiefel conjugate gradient method with sufficient descent and conjugacy conditions ⋮ A Five-Parameter Class of Derivative-Free Spectral Conjugate Gradient Methods for Systems of Large-Scale Nonlinear Monotone Equations
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Cites Work
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- On three-term conjugate gradient algorithms for unconstrained optimization
- An optimal parameter for Dai-Liao family of conjugate gradient methods
- A three-term conjugate gradient algorithm for large-scale unconstrained optimization problems
- New spectral PRP conjugate gradient method for unconstrained optimization
- New version of the three-term conjugate gradient method based on spectral scaling conjugacy condition that generates descent search direction
- Some three-term conjugate gradient methods with the inexact line search condition
- An extended nonmonotone line search technique for large-scale unconstrained optimization
- An adaptive three-term conjugate gradient method based on self-scaling memoryless BFGS matrix
- Two new Dai-Liao-type conjugate gradient methods for unconstrained optimization problems
- Global convergence of a family of modified BFGS methods under a modified weak-Wolfe-Powell line search for nonconvex functions
- Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization
- Global convergence of BFGS and PRP methods under a modified weak Wolfe-Powell line search
- A modified spectral PRP conjugate gradient projection method for solving large-scale monotone equations and its application in compressed sensing
- Two families of scaled three-term conjugate gradient methods with sufficient descent property for nonconvex optimization
- A scaled three-term conjugate gradient method for unconstrained optimization
- Optimization theory and methods. Nonlinear programming
- A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization
- NEW ADAPTIVE BARZILAI–BORWEIN STEP SIZE AND ITS APPLICATION IN SOLVING LARGE-SCALE OPTIMIZATION PROBLEMS
- A nonlinear conjugate gradient method based on the MBFGS secant condition
- Two optimal Dai–Liao conjugate gradient methods
- A new class of efficient and globally convergent conjugate gradient methods in the Dai–Liao family
- Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization
- Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- Restart procedures for the conjugate gradient method
- Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization
- A modified Hestense–Stiefel conjugate gradient method close to the memoryless BFGS quasi-Newton method
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- A new spectral conjugate gradient method for large-scale unconstrained optimization
- A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
- A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
- Function minimization by conjugate gradients
- The conjugate gradient method in extremal problems
- Methods of conjugate gradients for solving linear systems
- A one-parameter class of three-term conjugate gradient methods with an adaptive parameter choice
- New conjugacy conditions and related nonlinear conjugate gradient methods
- Benchmarking optimization software with performance profiles.
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