View Full Version : Table of Laplace transforms
stefanfuglsang
Jun25-04, 02:31 AM
I need a large table of Laplace transforms, do you know any good ones? Format HTML, Pdf, Ps, Latex or Word (?)
Extra question: what is the Laplace transform of a Gaussian (normal distribution), with mean m and standard deviation s (assume equal to zero for t<0)?
Well, I went to google, typed in "table laplace transforms" and the very first link was:
http://www.vibrationdata.com/Laplace.htm
Whew -- that was tough.
- Warren
fourier jr
Jun26-04, 01:20 AM
I need a large table of Laplace transforms, do you know any good ones? Format HTML, Pdf, Ps, Latex or Word (?)
Extra question: what is the Laplace transform of a Gaussian (normal distribution), with mean m and standard deviation s (assume equal to zero for t<0)?
why not make your own table? good integration practice hehe :wink: :tongue2:
stefanfuglsang
Jun30-04, 02:03 AM
I also know how to use Google - but you do not answer my question,
maybe I should define "Large" as more than, say, 150 transforms.
I do not need to practice integration
Tom Mattson
Jul22-04, 03:28 PM
I also know how to use Google - but you do not answer my question,
maybe I should define "Large" as more than, say, 150 transforms.
:rolleyes:
I typed "large table laplace transforms" into Google. Check out this link. It has 129 Laplace transform formulas.
http://www.convertit.com/Go/ConvertIt/Reference/AMS55.ASP?Res=200&Page=1019
It was the second link that came up. The first was this thread. :rofl:
eJavier
Jul23-04, 01:02 AM
Schaum's intro to Laplace transforms has like 300 laplace transforms listed on a big table.
eJavier
Jul23-04, 01:08 AM
I need a large table of Laplace transforms, do you know any good ones? Format HTML, Pdf, Ps, Latex or Word (?)
Extra question: what is the Laplace transform of a Gaussian (normal distribution), with mean m and standard deviation s (assume equal to zero for t<0)?
If it helps, the LT of the error function \frac{2}{\pi^{\frac{1}{2}} }\int_0^t e^{-u^2} du is \frac {1}{s(s+1)^{1/2}}
And since you can always work with the N(0,1) distribution instead of the more general N(m, sigma^2) I think you'll find the aforementioned result useful. If you need the derivation of the Lt just ask.
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