writing a code wasnt the problem, the main issue was how to get rid of such a huge expression if any?  Does maple provide any method to carry out such a calculation?

hyder

writing a code wasnt the problem, the main issue was how to get rid of such a huge expression if any?  Does maple provide any method to carry out such a calculation?

hyder

i have a data file generated using FORTRAN. The data file contains 4 columns and 800 rows. Iwant to fit a curve to my data (3rd and 4th column of the data file). what is the best way to fit this data using Maple. I have tried this using "curve fitting (Interactive)" on Maple, but that didnot help, the problem that i faced was in importing data in that  case. any help or suggestion ????

hyder

i have a data file generated using FORTRAN. The data file contains 4 columns and 800 rows. Iwant to fit a curve to my data (3rd and 4th column of the data file). what is the best way to fit this data using Maple. I have tried this using "curve fitting (Interactive)" on Maple, but that didnot help, the problem that i faced was in importing data in that  case. any help or suggestion ????

hyder

i found this way even more efficient. thanks alot..

hyder

i found this way even more efficient. thanks alot..

hyder

thanks mols

it worked perfectly well.....

hyder

thanks mols

it worked perfectly well.....

hyder

Actually the program is such that each time i have to solve the differential equations using different initial conditions. In my case these initial conditions for last three equations are the elements of the normalized vector(w1) , the first three equations can be solved as usual. This is the code for obtaining just one Lyapunov exponent(LE). To find out all the three LEs would require solving 12 coupled differential equations out of which 9 will have to start with a different initial conditions for every iterate which will be my final task. The reason that i am using a loop over 70000 iterates is just that i am trying to find the dynamics of a system where the transients die after a very long time . So in order to find out even accurate values i would need the summation over much higher iterates. So there is no escape(atleast 100000 iterates are needed.) I couldnt understand ur comment about replacing the Normalize command. If u can explain it a step further it would be helpful for me. Again, the reason that i am using the dsolve command inside the loop is just that for every iterate i have to solve the same set of diiferential equation using different initial conditions, so i think keeping it outside the loop would mean starting from the same initial condition and finding the solution at different times. But in my case I have to update the set of initial conditions at every iterate and then find the solution after a certain time.( i.e., t=0.01, as shown in the present code.) hyder