Performance Analysis of Steepest Descent-Line Search Condition Combinations in Nonlinear Least Squares Fitting of CMM Data | Zendy

Kadir Kıran | Zendy

Open Access

Performance Analysis of Steepest Descent-Line Search Condition Combinations in Nonlinear Least Squares Fitting of CMM Data

Author(s) -

Kadir Kıran

Publication year - 2021

Publication title -

european 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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