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A globally convergent version of the Polak-Ribière conjugate gradient method

https://doi.org/10.1007/bf02614362
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Practical Methods of Optimization
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Conjugate Direction Methods in Optimization
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Global convergence and stabilization of unconstrained minimization methods without derivatives
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Efficient generalized conjugate gradient algorithms, part 1: Theory
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Generalized Polak-Ribi�re algorithm
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Globally convergent conjugate gradient algorithms
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Stopping criteria for linesearch methods without derivatives
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Nonconvex minimization calculations and the conjugate gradient method
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Practical methods of optimization
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Note sur la convergence de méthodes de directions conjuguées
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Integer and Nonlinear Programming
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Function minimization by conjugate gradients
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Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
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On the Convergence of a New Conjugate Gradient Algorithm
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Global Convergence Properties of Conjugate Gradient Methods for Optimization
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Convergence Properties of Algorithms for Nonlinear Optimization
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Conjugate Gradient Methods with Inexact Searches
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Practical Methods of Optimization.
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Efficient generalized conjugate gradient algorithms, part 1
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Methods of conjugate gradients for solving linear systems

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Design, Synthesis, and Pharmacological Evaluation of Dual FXR-LIFR Modulators for the Treatment of Liver Fibrosis
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Harnessing the Estradienone Scaffold to Develop Dual GPBAR1 and LIFR Modulators for Liver Fibrosis
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From Structure to Dynamics: Activation Mechanism of the G Protein-Coupled Bile Acid Receptor 1-Gs Complex
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Substitution of Arginine with Proline and Proline Derivatives in Melanocyte-Stimulating Hormones Leads to Selectivity for Human Melanocortin 4 Receptor
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Seismic Imaging of Dante's Domes Oceanic Core Complex From Streamer Waveform Inversion and Reverse Time Migration
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Evidence of a two-dimensional glass transition in graphene: Insights from molecular simulations
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Some convergently three-term trust region conjugate gradient algorithms under gradient function non-Lipschitz continuity
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A journey from order to disorder — Atom by atom transformation from graphene to a 2D carbon glass
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Deciphering the selectivity of inhibitor MKC9989 towards residue K907 in IRE1α; a multiscale in silico approach
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A spectral KRMI conjugate gradient method under the strong-Wolfe line search
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A three-term conjugate gradient method under the strong-Wolfe line search
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A Two-Term PRP-Based Descent Method
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Two Modified Polak–Ribière–Polyak-Type Nonlinear Conjugate Methods with Sufficient Descent Property
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A Modified Hestenes-Stiefel Conjugate Gradient Algorithm for Large-Scale Optimization
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Global convergence of conjugate gradient method
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A modified Polak–Ribière–Polyak conjugate gradient algorithm for large-scale optimization problems
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A derivative-based algorithm for a particular class of mixed variable optimization problems
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Convergence conditions, line search algorithms and trust region implementations for the Polak–Ribière conjugate gradient method
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Global convergence of the DY conjugate gradient method with Armijo line search for unconstrained optimization problems
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Some descent three-term conjugate gradient methods and their global convergence
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Convergence of conjugate gradient methods with constant stepsizes
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A modified Polak–Ribi‘ere–Polyak descent method for unconstrained optimization
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On the convergence properties of the unmodified PRP method with a non-descent line search
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Exploring the fatty acid amide hydrolase and cyclooxygenase inhibitory properties of novel amide derivatives of ibuprofen
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A spectral conjugate gradient method for nonlinear inverse problems
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A quasi-dynamic assignment model that guarantees unique network equilibrium
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Binding and Photocleavage Studies of Ru (II) Polypyridyl Complexes with DNA: An In Silico and Antibacterial activity
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Molecular dynamics modeling for nanoindentation effects of puckered arsenene
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Understanding defect production in an hcp Zr crystal upon irradiation: An energy landscape perspective
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A three-parameter family of nonlinear conjugate gradient methods
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Global convergence of the Polak-Ribière-Polyak conjugate gradient method with an Armijo-type inexact line search for nonconvex unconstrained optimization problems
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Scale- and parameter-adaptive model-based gradient pre-conditioner for elastic full-waveform inversion
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Comparative study of objective functions to overcome noise and bandwidth limitations in full waveform inversion
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An explicit spectral Fletcher–Reeves conjugate gradient method for bi-criteria optimization
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Simulations of twisted bilayer orthorhombic black phosphorus
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Ground states of stealthy hyperuniform potentials: I. Entropically favored configurations
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A novel joint diagonalization approach for linear stochastic systems and reliability analysis
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Two modified PRP conjugate gradient methods with sufficient descent property for unconstrained optimization
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Two modified PRP conjugate gradient methods and their global convergence for unconstrained optimization
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A new descent algorithm with curve search rule for unconstrained minimization
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A new super-memory gradient method for unconstrained optimization
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A New Conjugate Gradient Trust Region Method and its Convergence
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A Modified LS Conjugate Gradient Method and Its Global Convergence
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A Comparative Study on CRFs for Fore- and Background Classification
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Notice of Retraction: A new conjugate gradient method for unconstrained optimization
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On the Non-monotone Armijo-type Line Search Algorithm
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A modified conjugate gradient algorithm for optimization problems
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Anticipation of minutes-ahead household active power consumption using Gaussian processes
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A Fast Smoothing-Based Algorithm to Generate l ∞ -Norm Constrained Signals for Multivariable Experiment Design
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Appraisal of Instantaneous Phase-Based Functions in Adjoint Waveform Inversion
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Robust Design of Beyond-Diagonal Reconfigurable Intelligent Surface Empowered RSMA-SWIPT System Under Channel Estimation Errors
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New Uses for Old Drugs: Pharmacophore‐Based Screening for the Discovery of P‐Glycoprotein Inhibitors
inferred← citeshttps://doi.org/10.1142/s0218213011004757openalex-snapshot
AN IMPROVED SPECTRAL CONJUGATE GRADIENT NEURAL NETWORK TRAINING ALGORITHM
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Nonlinear Conjugate Gradient Methods with Sufficient Descent Condition for Large‐Scale Unconstrained Optimization
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A Simple Sufficient Descent Method for Unconstrained Optimization
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Global Convergence of a Nonlinear Conjugate Gradient Method
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Global Convergence of a Modified Spectral Conjugate Gradient Method
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Sufficient Descent Polak-Ribière-Polyak Conjugate Gradient Algorithm for Large-Scale Box-Constrained Optimization
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A Hybrid of DL and WYL Nonlinear Conjugate Gradient Methods
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A Modified Conjugacy Condition and Related Nonlinear Conjugate Gradient Method
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A New Conjugate Gradient Algorithm with Sufficient Descent Property for Unconstrained Optimization
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Modified Three-Term Liu–Storey Conjugate Gradient Method for Solving Unconstrained Optimization Problems and Image Restoration Problems
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