Donald Marquardt is a mathematician recognized for his contributions to numerical analysis, particularly for developing the Marquardt algorithm. This algorithm is an iterative method used to solve nonlinear least squares problems, which frequently arise in various fields, including statistics, data fitting, and machine learning. The Marquardt algorithm combines aspects of gradient descent and the Gauss-Newton method, making it effective for optimizing nonlinear functions.
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