The conjugate gradient method is a mathematical technique that can be useful for the optimization of both linear and non-linear systems. This technique is generally used as an iterative algorithm, however, it can be used as a direct method, and it will produce a numerical solution. Generally this method is used for very large systems where it is not practical to solve with a direct method. This method was developed by Magnus Hestenes and Eduard Stiefel[1].

Last modified

• 11/30/2018

Creator

• Erik Zuehlke

DOI

• https://doi.org/10.21985/N2K46F

Keyword

• Conjugate Gradient Methods

Rights statement

• In Copyright