An adaptive conjugate gradient algorithm for large-scale unconstrained optimization

Neculai Andrei

doi:10.1016/j.cam.2015.07.003

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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

DOI: 10.1016/j.cam.2015.07.003

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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

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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

An adaptive conjugate gradient algorithm for large-scale unconstrained optimization

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