The values of error function, erf(x), are presented in the table. a) Use the appropriate strategy (shortly explain why it is appropriate) and fit a curve to this data. b) Use the fitted curve to...


The values of error function, erf(x), are presented in<br>the table.<br>a) Use the appropriate strategy (shortly explain<br>why it is appropriate) and fit a curve to this data.<br>b) Use the fitted curve to calculate the value of x<br>that satisfy erf(x)=0.5 with &=0.1%.<br>erf (x)<br>0.25<br>0.2763<br>0.5<br>0.5205<br>0.75<br>0.7112<br>0.8427<br>Note: For part a) don’t use linear splines. For part b)<br>you can use any technique of your choice. Fast<br>converging methods are advised.<br>1.<br>

Extracted text: The values of error function, erf(x), are presented in the table. a) Use the appropriate strategy (shortly explain why it is appropriate) and fit a curve to this data. b) Use the fitted curve to calculate the value of x that satisfy erf(x)=0.5 with &=0.1%. erf (x) 0.25 0.2763 0.5 0.5205 0.75 0.7112 0.8427 Note: For part a) don’t use linear splines. For part b) you can use any technique of your choice. Fast converging methods are advised. 1.

Jun 04, 2022
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