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Single and double precision formats, machine epsilon ( ϵmachepsilon sub m a c h end-sub ), and round-off errors.

The course on Coursera , taught by Jeffrey Chasnov of The Hong Kong University of Science and Technology (HKUST) , covers essential computational techniques through six weekly modules. While specific "answer keys" for graded assessments are not provided here, the following breakdown outlines the course's content, assessments, and core concepts to help you solve the weekly problems and projects. Course Structure and Assessments

def newton_raphson(f, df, x0, tol): x = x0 for i in range(100): # Max iterations x_new = x - f(x)/df(x) if abs(x_new - x) < tol: return x_new x = x_new return x