JOURNAL ARTICLE

An adaptive conjugate gradient algorithm for large-scale unconstrained optimization

Neculai Andrei

Year: 2015 Journal:   Journal of Computational and Applied Mathematics Vol: 292 Pages: 83-91   Publisher: Elsevier BV
Keywords:
Mathematics Conjugate gradient method Hessian matrix Gradient descent Nonlinear conjugate gradient method Eigenvalues and eigenvectors Gradient method Algorithm Convex function Rate of convergence Derivation of the conjugate gradient method Mathematical optimization Applied mathematics Regular polygon Computer science Artificial neural network

Metrics

42
Cited By
8.82
FWCI (Field Weighted Citation Impact)
37
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Iterative Methods for Nonlinear Equations
Physical Sciences →  Mathematics →  Numerical Analysis

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