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Performance Analysis of Steepest Descent-Line Search Condition Combinations in Nonlinear Least Squares Fitting of CMM Data
Author(s) -
Kadir Kiran
Publication year - 2021
Publication title -
europan journal of science and technology
Language(s) - English
Resource type - Journals
ISSN - 2148-2683
DOI - 10.31590/ejosat.1012096
Subject(s) - ellipse , line search , algorithm , rectangle , metric (unit) , gradient descent , mathematics , line (geometry) , non linear least squares , least squares function approximation , curve fitting , backtracking , nonlinear system , broyden–fletcher–goldfarb–shanno algorithm , nonlinear programming , mathematical optimization , computer science , artificial intelligence , statistics , geometry , estimation theory , engineering , operations management , computer security , physics , quantum mechanics , estimator , artificial neural network , radius , computer network , asynchronous communication

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