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A New DY Conjugate Gradient Method and Applications to Image Denoising

https://doi.org/10.1587/transinf.2018edp7210
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-33267-1_7openalex-snapshot
Minimization of an Edge-Preserving Regularization Functional by Conjugate Gradient Type Methods
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Efficient generalized conjugate gradient algorithms, part 1: Theory
inferredcites →https://doi.org/10.1007/s00211-006-0028-zopenalex-snapshot
Global convergence of a modified Fletcher–Reeves conjugate gradient method with Armijo-type line search
inferredcites →https://doi.org/10.1007/s00245-001-0003-0openalex-snapshot
A Spectral Conjugate Gradient Method for Unconstrained Optimization
inferredcites →https://doi.org/10.1007/s10589-015-9801-1openalex-snapshot
A Dai–Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions
inferredcites →https://doi.org/10.1007/s11075-007-9152-9openalex-snapshot
Another hybrid conjugate gradient algorithm for unconstrained optimization
inferredcites →https://doi.org/10.1007/s11075-008-9213-8openalex-snapshot
Two modified Dai-Yuan nonlinear conjugate gradient methods
inferredcites →https://doi.org/10.1007/s11075-018-0479-1openalex-snapshot
A descent hybrid conjugate gradient method based on the memoryless BFGS update
inferredcites →https://doi.org/10.1016/j.amc.2006.05.150openalex-snapshot
The convergence properties of some new conjugate gradient methods
inferredcites →https://doi.org/10.1016/j.aml.2007.05.002openalex-snapshot
A Dai–Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstrained optimization
inferredcites →https://doi.org/10.1016/j.aml.2010.01.010openalex-snapshot
A descent spectral conjugate gradient method for impulse noise removal
inferredcites →https://doi.org/10.1016/j.cam.2016.11.031openalex-snapshot
Block Conjugate Gradient algorithms for least squares problems
inferredcites →https://doi.org/10.1016/j.cam.2017.10.013openalex-snapshot
An adaptive three-term conjugate gradient method based on self-scaling memoryless BFGS matrix
inferredcites →https://doi.org/10.1016/j.neucom.2016.01.090openalex-snapshot
Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations
inferredcites →https://doi.org/10.1016/j.sigpro.2014.02.025openalex-snapshot
A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration
inferredcites →https://doi.org/10.1016/s0377-0427(00)00540-9openalex-snapshot
A modified BFGS method and its global convergence in nonconvex minimization
inferredcites →https://doi.org/10.1023/b:jmiv.0000011321.19549.88openalex-snapshot
Affine Invariant Flows in the Beltrami Framework
inferredcites →https://doi.org/10.1051/m2an/196903r100351openalex-snapshot
Note sur la convergence de méthodes de directions conjuguées
inferredcites →https://doi.org/10.1080/01630560701749524openalex-snapshot
A Two-Term PRP-Based Descent Method
inferredcites →https://doi.org/10.1080/02331934.2011.611512openalex-snapshot
A hybrid conjugate gradient method based on a quadratic relaxation of the Dai–Yuan hybrid conjugate gradient parameter
inferredcites →https://doi.org/10.1080/10556780701661344openalex-snapshot
Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization
inferredcites →https://doi.org/10.1080/10556788.2014.966825openalex-snapshot
A hybridization of the Hestenes–Stiefel and Dai–Yuan conjugate gradient methods based on a least-squares approach
inferredcites →https://doi.org/10.1093/comjnl/7.2.149openalex-snapshot
Function minimization by conjugate gradients
inferredcites →https://doi.org/10.1109/31.83870openalex-snapshot
Center weighted median filters and their applications to image enhancement
inferredcites →https://doi.org/10.1109/83.370679openalex-snapshot
Adaptive median filters: new algorithms and results
inferredcites →https://doi.org/10.1109/97.889633openalex-snapshot
Adaptive impulse detection using center-weighted median filters
inferredcites →https://doi.org/10.1109/lsp.2004.838190openalex-snapshot
An Iterative Procedure for Removing Random-Valued Impulse Noise
inferredcites →https://doi.org/10.1109/tcomm.2018.2857461openalex-snapshot
When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2005.852196openalex-snapshot
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
inferredcites →https://doi.org/10.1109/tip.2017.2717182openalex-snapshot
Nested Conjugate Gradient Algorithm With Nested Preconditioning for Non-Linear Image Restoration
inferredcites →https://doi.org/10.1137/030601880openalex-snapshot
A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
inferredcites →https://doi.org/10.1137/s1052623497318992openalex-snapshot
A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
inferredcites →https://doi.org/10.3390/s18082423openalex-snapshot
A Distributed and Context-Aware Task Assignment Mechanism for Collaborative Mobile Edge Computing
inferredcites →https://doi.org/10.3934/jimo.2016017openalex-snapshot
Multivariate spectral DY-type projection method for convex constrained nonlinear monotone equations
inferredcites →https://doi.org/10.6028/jres.049.044openalex-snapshot
Methods of conjugate gradients for solving linear systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4569182openalex-extracted
Modification of a Conjugate Gradient Approach for Convex Constrained Nonlinear Monotone Equations with Applications in Signal Recovery
inferred← citeshttps://doi.org/10.1007/s40096-024-00526-7openalex-snapshot
Improved Dai-Yuan iterative schemes for convex constrained monotone nonlinear systems
inferred← citeshttps://doi.org/10.1007/s40819-023-01637-wopenalex-snapshot
Superior Formula for Gradient Impulse Noise Reduction from Images
inferred← citeshttps://doi.org/10.1016/j.cnsns.2024.108079openalex-snapshot
Modification of a conjugate gradient approach for convex constrained nonlinear monotone equations with applications in signal recovery and image restoration
inferred← citeshttps://doi.org/10.1016/j.eij.2026.101002openalex-snapshot
A new hybrid HS–DY parameter for constrained systems of nonlinear equations with applications to image recovery
inferred← citeshttps://doi.org/10.1080/00207160.2026.2637715openalex-snapshot
Optimizing the conjugate gradient algorithm and its diverse applications
inferred← citeshttps://doi.org/10.1093/imamat/hxaf009openalex-snapshot
Hybrid accelerated double step length approach for convex constrained nonlinear monotone equations with applications
inferred← citeshttps://doi.org/10.1109/iccitm56309.2022.10031653openalex-snapshot
Involving New Coefficients Conjugate Gradient Method for Restoring Distorted Images
inferred← citeshttps://doi.org/10.1109/iccitm56309.2022.10031853openalex-snapshot
Pediment New Parameters for a Conjugate Gradient Method And Using it in Restoring Distorted Images
inferred← citeshttps://doi.org/10.11591/ijece.v13i6.pp6268-6276openalex-snapshot
An enhanced fletcher-reeves-like conjugate gradient methods for image restoration
inferred← citeshttps://doi.org/10.11591/ijeecs.v29.i1.pp245-251openalex-snapshot
Improvement of conjugate gradient methods for removing impulse noise images
inferred← citeshttps://doi.org/10.11591/ijeecs.v29.i3.pp1438-1445openalex-snapshot
On image restoration problems using new conjugate gradient methods
inferred← citeshttps://doi.org/10.12928/ijio.v2i1.3054openalex-snapshot
A Dai-Liao Hybrid Hestenes-Stiefel and Fletcher-Revees Methods for Unconstrained Optimization
inferred← citeshttps://doi.org/10.14529/mmp240106openalex-snapshot
Influence to New Formulas Gradient for Removing Impulse Noise Images
inferred← citeshttps://doi.org/10.1587/transcom.2018drp0029openalex-snapshot
Motion Track Extraction Based on Empirical Mode Decomposition of Endpoint Effect Suppression for Double-Rotor Drone
inferred← citeshttps://doi.org/10.24996/ijs.2023.64.10.28openalex-snapshot
New Class of Conjugate Gradient Methods for Removing Impulse Noise Images
inferred← citeshttps://doi.org/10.29020/nybg.ejpam.v15i4.4579openalex-snapshot
A New Type Coefficient Conjugate on the Gradient Methods for Impulse Noise Removal in Images
inferred← citeshttps://doi.org/10.3390/math12152430openalex-snapshot
A New Variant of the Conjugate Descent Method for Solving Unconstrained Optimization Problems and Applications
inferred← citeshttps://doi.org/10.3390/math12172754openalex-snapshot
Image Noise Reduction and Solution of Unconstrained Minimization Problems via New Conjugate Gradient Methods
inferred← citeshttps://doi.org/10.37394/232018.2024.12.12openalex-snapshot
Development of a New Numerical Conjugate Gradient Technique for Image Processing
inferred← citeshttps://doi.org/10.3934/math.2021092openalex-snapshot
An online conjugate gradient algorithm for large-scale data analysis in machine learning
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Modified Dai-Yuan iterative scheme for nonlinear systems and its application
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