# Search Results

Results tagged with Search options user 58104
8 results

Questions on the use of Mathematica to construct models for approximating empirical data.

saw that the functions -Log[-x] + 1.5 + 3 x -1.5*Log[-x] were not so bad but I'd like to fit better... The command $Fit$ is not good for that kind of fitting, and Fitting one function to another doesn't look appropriate either. How could I proceed plz ? …
I got a list of numbers $x$: {152.5285260903254, 153.08990920351394, 150.5730994009649, 149.0795578315097, 150.88564540579486, 152.3019304735997, 152.37506265139996, 152.51287363037363, 156.842674754 …
I have some data : data={{9., 16.8895}, {12., 17.3404}, {15., 17.1633}, {18., 19.3417}, {21., 17.9899}, {24., 19.9677}, {27., 19.4362}, {30., 20.6519}, {33., 19.4591}, {36., 20.6855}, {39., 20.1952 …
I just made a NonlinearModelFit : nlm = NonlinearModelFit[data, {Piecewise[{{-(( n0 r - (lambda n0 R)/( lambda - lambda phiL + phiL R Coth[R]))/(-r + R)), r < 0}, {( lambda n0 R Csch[R/lamb …
tab1={{0., 1.92308}, {7., 11.5385}, {14., 36.5385}, {21., 75.}, {27., 123.077}, {35., 300.}, {42., 330.769}} tab2={{0., 0.}, {7., 3.41463}, {14., 7.80488}, {21., 17.561}, {27., 32.1951}, {35., 7 …
I know that there are already questions about fitting multiple datasets and about NDSolve and about shared and non shared parameters, but I tried to apply them and some things are still not clear …
I'm trying to fit some data with a system of differential equations : data={{6., 60.1536}, {9., 57.9807}, {12., 60.9089}, {15., 59.4291}, {18., 61.3227}, {21., 61.8788}, {24., 67.2192}, {27., 66.2767 …