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Distributed Conjugate Gradient Algorithm for Signal Reconstruction of MOSGFBs
In this paper, we investigate the signal reconstruction of M-channel oversampled graph filter banks (MOSGFBs) on sparse graphs. The analysis filter...
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Adaptive Filtering Based on Minimum Error Entropy Conjugate Gradient
Based on the criterion of minimum error entropy, this paper proposes a novel conjugate gradient algorithm, called MEE-CG. This algorithm has robust...
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Design of Bionic Structure Parameters of Pure EV BPE Based on Proportional Conjugate Gradient Algorithm
With the rapid development of pure electric vehicles, how to improve the range has become the focus of research. Due to the large shell mass of the...
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Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series
Kernel adaptive filter armed with information theoretic learning has gained popularity in the domain of time series online prediction. In particular,...
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A new family of Polak–Ribière–Polyak conjugate gradient method for impulse noise removal
This paper discusses a new class of the Polak–Ribière–Polyak (PRP) conjugate gradient methods for an impulse noise removal problem, which is...
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Conjugate Gradient Derived Kernel Affine Projection Method for Post-distortion in Visible Light Communication Systems
With the explosive growth in the demand of spectrum, conventional radio frequency systems are increasingly facing the challenge of catering to...
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A conjugate gradient-assisted multi-objective evolutionary algorithm for fluence map optimization in radiotherapy treatment
Intensity-modulated radiotherapy (IMRT) is one of the most applied techniques for cancer radiotherapy treatment. The fluence map optimization is an...
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An Improved Conjugate Gradient Image Reconstruction Algorithm for Electromagnetic Tomography
Electromagnetic tomography (EMT) is an emerging imaging modality capable of visualizing the distribution of electrically conductive or magnetically...
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A New Conjugate Gradient Method for Moving Force Identification of Vehicle–Bridge System
A new preconditioned modified conjugate gradient algorithm based on improved gradient operator and preconditioned technology is proposed for moving...
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GPU implementation of an incomplete Cholesky conjugate gradient solver for a FEM-generated system using full kernel consolidation
The finite element method (FEM) is a widely used technique to solve partial differential equations and can thus be applied to describe different...
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A Preconditioned Conjugate Gradient Multigrid Method for Multi-material Topology Optimization
In recent years, there has been significant progress in the field of topology optimization, with many researchers focusing on improving the...
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Enhancing chloride concentration prediction in marine concrete using conjugate gradient-optimized backpropagation neural network
The paper proposes a novel approach for predicting surface chloride penetration in marine concrete using a faster and more efficient Backpropagation...
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Performance of a New Hybrid Conjugate Gradient Method
Currently, many modifications have been made to the conjugate gradient (CG) method. One approach is to hybridize the method. The CG method proposed...
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Robust Conjugate Gradient Methods for Non-smooth Convex Optimization and Image Processing Problems
In order to make the conjugate gradient method more effective and efficient for solving non-smooth optimization problems that have practical...
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Scaled Conjugate Gradient Algorithm Trained ANN for Parameter Retrieval in Combined Heat Transfer in Porous Ceramic Matrix
A combined mode conduction radiation problem is considered in 2 D rectangular porous ceramic matrix (PCM). The governing equations of the problem are...
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Heart disease prediction using scaled conjugate gradient backpropagation of artificial neural network
Heart disease is a deadly disease in human life. The mortality rate from any disease is the highest in the world. Therefore, before reaching the...
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High-accuracy gravity field and gravity gradient forward modelling based on 3D vertex-centered finite-element algorithm
Gravity anomalies generated by density non-uniformity are governed by the 3D Poisson equation. Most existing forward methods for such anomalies rely...
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On q-variant of Dai–Yuan conjugate gradient algorithm for unconstrained optimization problems
In this paper, we propose a modified q -Dai–Yuan ( q -DY) conjugate gradient algorithm based on q -gradient for solving unconstrained optimization...
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Two efficient nonlinear conjugate gradient methods with restart procedures and their applications in image restoration
Nonlinear conjugate gradient method (CGM) is one of the most efficient iterative methods for dealing with large-scale optimization problems. In this...
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A Robust Massive MIMO Detection Based on Conjugate Gradient Approach
The neighborhood search algorithms recently emerged as a promising low-complexity detection algorithm for massive multiple-input, multiple-output...