radaar

112 Reputation

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2 years, 138 days

MaplePrimes Activity


These are replies submitted by radaar

@Carl Love 

So if it cross certain limit program may stop right?. Thank you.

@tomleslie 

yes, that is intentional. Is there any other way to generate Cauchy distribution which uses less memory. and using array makes the other part of my actual code much efficient. Thank you.

@tomleslie 

Yes thank you. 

@Carl Love @mmcdara

I understood the problem. But my problem in hand needs this sort of execution. Somehow I figured out to solve this issue. Thank you.

@mmcdara 

WHY IT IS STAGNATING WHEN IT REACHES LAST ITERATIONS. ACTUALLY I NEED IT FOR THIS SPECIFIC CASE. tHANK YOU FOR YOUR REPLY. but I need answer specifically for above question.

@tomleslie 

I am getting the following error while starting from i=1.

 

GAUSSIAN_new.mw

@Kitonum 

Is there any other package in maple other than Statistics for normal distribution. Since it generates hardware float it is mostly useless. Since there are 15 digits in the random number generated function evaluation using the generated random number becomes too difficult. Hope there will be package which will generate normal distribution but software float.

@tomleslie

Is there any problem using this. Can you please explain the difference between hardware and software float?. Thank you. 

@tomleslie 

Your second method is faster than third method. Am I right?. So best way is to use statistics package.

@sand15 

Yes I forgot this command. Thanks a lot.

@dharr 

Can you send me the code?. Thank you.

@dharr 

Yes you are right?. It was a mistake from my side. Thank you.

@mmcdara 

What I usually does is that run the code with the same parameter say 10 times. So each time it should give different answers. For eg say I have code A . I run this code ten times and each time I should get different answers since it uses random numbers. Thank you

@dharr 

Are you using it in metropolis algorithm or such algorithms? rand(0.0..1.0)() is very faster. 

 

@acer 

Yes I will upload the file soon. Thank you.

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