Conjugate Gradient Descent - cs.cmu.edu
Conjugate Direction Methods ! algorithm for the numerical solution of linear equations, whose matrix Q is symmetric and positive-definite. ! An iterative method, so it can be applied to systems that are too large to be handled by direct methods (such as the Cholesky decomposition.) ! Algorithm for seeking minima of nonlinear equations.
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