Modified Newton's method is an optimization technique that builds on the traditional Newton's method by incorporating modifications to enhance convergence properties, particularly when dealing with ill-conditioned problems or cases where second derivatives are difficult to compute. This approach adjusts the step size or utilizes approximations to the Hessian matrix, making it more robust and applicable to a wider range of optimization problems.
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