Major: All Engineering Majors Authors: Autar Kaw, Matthew Emmons

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Propagation of Errors http://numericalmethods.eng.usf.edu Major: All Engineering Majors Authors: Autar Kaw, Matthew Emmons http://numericalmethods.eng.usf.edu Numerical Methods for STEM undergraduates 1/14/2019 http://numericalmethods.eng.usf.edu

Propagation of Errors In numerical methods, the calculations are not made with exact numbers. How do these inaccuracies propagate through the calculations? http://numericalmethods.eng.usf.edu

Example 1: Find the bounds for the propagation in adding two numbers. For example if one is calculating X +Y where X = 1.5 ± 0.05 Y = 3.4 ± 0.04 Solution Maximum possible value of X = 1.55 and Y = 3.44 Maximum possible value of X + Y = 1.55 + 3.44 = 4.99 Minimum possible value of X = 1.45 and Y = 3.36. Minimum possible value of X + Y = 1.45 + 3.36 = 4.81 Hence 4.81 ≤ X + Y ≤4.99. http://numericalmethods.eng.usf.edu

Propagation of Errors In Formulas If is a function of several variables then the maximum possible value of the error in is http://numericalmethods.eng.usf.edu

Example 2: The strain in an axial member of a square cross-section is given by Given Find the maximum possible error in the measured strain. http://numericalmethods.eng.usf.edu

Example 2: Solution THG picture http://numericalmethods.eng.usf.edu

Example 2: Thus THG picture Hence http://numericalmethods.eng.usf.edu

Example 3: Subtraction of numbers that are nearly equal can create unwanted inaccuracies. Using the formula for error propagation, show that this is true. Solution Let Then So the relative change is http://numericalmethods.eng.usf.edu

Example 3: = 0.6667 = 66.67% For example if http://numericalmethods.eng.usf.edu