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This work proposes and analyzes a methodology for finding least-squares solutions to the systems of polynomial equations. Systems of polynomial equations are ubiquitous in computational science, with major applications in machine learning and computer security (i.e., model fitting and integer factorization). The proposed methodology maps the squared-error function for a polynomial equation onto the...