Conjugate Gradient Methods Using Quasi-Newton Updates with Inexact Line Searches

@inproceedings{2003ConjugateGM,
  title={Conjugate Gradient Methods Using Quasi-Newton Updates with Inexact Line Searches},
  author={},
  year={2003}
}
  • Published 2003
Conjugate gradient methods are conjugate direction or gradient deflection methods which lie somewhere between the method of steepest descent and Newton’s method. Their prmcipal advantage is that they do not require the storage of any matrices as in Newton’s method, or as in quasi-Newton methods, and they are designed to converge faster than the method of steepest descent. Unlike quasiNewton or variable-metric methods, these are fixed-metric methods in which the search direction at each… CONTINUE READING