JOURNAL ARTICLE
A modified conjugate gradient algorithm for optimization problems
Abstract
A modified conjugate gradient algorithm is presented, which possesses the sufficient descent condition without any line search. The global convergence with the weak Wolfe-Powell (WWP) line search rule is established for nonconvex function under suitable conditions. Numerical results show that the given method is interesting.
Keywords:
Conjugate gradient method Convergence (economics) Gradient descent Line search Nonlinear conjugate gradient method Mathematical optimization Algorithm Computer science Line (geometry) Function (biology) Descent (aeronautics) Gradient method Conjugate residual method Conjugate Mathematics Applied mathematics Artificial intelligence Mathematical analysis Physics Geometry
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Topics
Advanced Optimization Algorithms Research
Physical Sciences → Mathematics → Numerical Analysis
Optimization and Variational Analysis
Physical Sciences → Computer Science → Computational Theory and Mathematics
Sparse and Compressive Sensing Techniques
Physical Sciences → Engineering → Computational Mechanics
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