Dear All,

I want to apply the ‘simplify’ command, in parallel, for the simplification of some parameters. Both Grid:-Map and Grid:-Run commands are tested. There is no error in both, whereas no simplification is implemented. It seems that the ‘simplify’ command correctly works on only ‘Master’ node, namely anywhere we are typing.

Can anyone help me to simplify in parallel. I examined two following codes.

1)

with (Grid);

for i from 1 to nops(dummy_UU1) do

freenode:=WaitForFirst():

Run(freenode,simplify,[dummy_UU1[i]],assignto='dummy_UU2'[i]):

end do:

Wait();

2)

dummy_UU2:=Map[tasksize=1](simplify,[seq(dummy_UU1[i],i=1..nops(dummy_UU1))]):

The following code is correctly executed and resulted in the simplification of dummy_UU1 components in serial.

for i from 1 to nops(dummy_UU1) do

dummy_UU2[i]:=simplify(dummy_UU1[i]):

end do:

Good day to all.

I have a data set consisting of 12 points in the x-y plane. These points form a periodic pattern and I was wondering if it is possible to obtain a curve that is a best-fit for these points. I have reason to expect that this pattern will repeat for successive points (i.e. points 13, 14, ..., 30).

Does anyone know of a way to obtain a function that can represent this behavior?

Thanks for reading!

MaplePrimes_Best_Fit.mw

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Hope you can help me. Thanks for your participation and assistance.

Thank you.


Kind regards

Faiz Farhan

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Dear people at Mapleprimes

My situation is the following: I have a number of bins (n bins), which all contain a specific number. I want to choose at random from these bins a number of times (N times), but in such a way that it is not equal likely that I choose from bin1, bin2 ...

Example: I have 5 bins: The 5 bins contains the numbers 50, 60, 70, 80, 90 respectively. The probabilities of choosing from these 5 bins should be 0.10, 0.30, 0.20, 0.25, 0.15 respectively. I make N = 100 selections. The output is expected to be a list with 100 numbers, for example: [ 50, 80, 80, 60, 60, 90, 50, ... , 70]. 

I could make it work myself by picking a random number from the uniform distribution from 0 to 1 and deciding if the a random number is between 0 and 0.10, between 0.10 and 0.40, between 0.40 and 0.60, etc. and then choosing the number in the corresponding bin ... I just wonder if Maple has an elegant way to to it? 

Regards,

Erik

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Here is my code:

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