JOURNAL ARTICLE

A modified conjugate gradient method for optimization problems†

Bion L. Pierson

Year: 1972 Journal:   International Journal of Control Vol: 16 (6)Pages: 1193-1196   Publisher: Taylor & Francis

Abstract

An interesting refinement scheme suggested by Mehra (1909) for use with the conjugate gradient algorithm is modified and applied to both finite and infinite dimensional optimization problems in an attempt to improve the convergence rate of the algorithm. For optimal control problems, the numerical results indicate that, while the refinement scheme significantly improves the convergence rate, the improvement can often be matched by periodically restarting the algorithm.

Keywords:
Conjugate gradient method Convergence (economics) Nonlinear conjugate gradient method Scheme (mathematics) Rate of convergence Mathematics Mathematical optimization Gradient method Conjugate residual method Derivation of the conjugate gradient method Algorithm Applied mathematics Computer science Gradient descent Mathematical analysis Artificial neural network Artificial intelligence

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5
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0.31
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Topics

Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Numerical methods in inverse problems
Physical Sciences →  Mathematics →  Mathematical Physics
Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics

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