Define array x for which the derivatives will be calculated.
#My political scilab code#
Illustrating this through your code example: // Define limits Using this method is better than using the diff function because the output array is of the same size as the original one. This 1-minute personality quiz uses a Likert Scale whereby you will agree or disagree. Our goal is to give you insight into your values, ambitions, and goals so you can become a champion for yourself. We are not directly affiliated with any political party. Both are actually meant to be used in conjunction because the interp function requires the corresponding derivatives for your y values, which you can easily get through the splin function. My political personality test is 100 free, private, independent, and anonymous. The former will give you the corresponding first derivative of your array values while the latter will give you up to the third derivative. This elegantly works not only for piece-wise defined functions but also for functions defined numerically by data. I accidentally (but fortunately) found the elegant solution to your end goal (and also to mine) of calculating and plotting the derivatives through the SciLab documentation itself via the splin ( ) and interp ( ) functions. give us your feedback Inter-university Consortium for Political and Social Research Office of Planning Research and Evaluation. (I expect the result 3 3 and not a matrix.) Calculate derivative of f(x) at the positions x Define array x for which the derivative will be calculated. PS: Is this the right place to ask Scilab-related questions? It seems that there are several StackOverflow communities where Scilab-related questions are asked. But what is then the purpose of numderivative?
#My political scilab update#
Update 1: Maybe I use the wrong function and diff is the way to go. As a embedded systems engineer, SciLab is my top choice, as it actually has simulink-like modelling+simulation tools and can generate embedded code HUGE plus for me Octave plays very nice with MatLab code, and is the easiest transition I found.Problem: It seems that I do not understand how the argument x works since the result is not a 1D-array, instead, it is a matrix.v1.0 / Scilab 5.3.2 (5.3.3) Johnny Heikell 'It is a mistake often made in this country to measure things by the amount of money they cost.