Approximate Newton's method with constant approximate inverse Hessian

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Definition

Approximate Newton's method with constant approximate inverse Hessian refers to a type of approximate Newton's method for optimization of a function of multiple variables where the matrix used as the stand-in for the inverse Hessian is constant across iterations, independent both of the current value of the iterate and of the number of iterations.

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