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Gordon, Sheldon P. – PRIMUS, 2013
The article investigates the patterns that arise in the convergence of numerical methods, particularly those in the errors involved in successive iterations, using data analysis and curve fitting methods. In particular, the results obtained are used to convey a deeper level of understanding of the concepts of linear, quadratic, and cubic…
Descriptors: Data Analysis, Investigations, Numeracy, Number Concepts
Gordon, Sheldon P. – PRIMUS, 2012
Data analysis methods, both numerical and visual, are used to discover a variety of surprising patterns in the errors associated with successive approximations to the derivatives of sinusoidal and exponential functions based on the Newton difference-quotient. L'Hopital's rule and Taylor polynomial approximations are then used to explain why these…
Descriptors: Mathematics Instruction, Mathematical Concepts, Error Patterns, Data Analysis