From: guerom00 on
Hello everyone,

I have a function which I read as a list of points. I want then to
estimate its integral. I do more or less this :

data={{x1,y1},{x2,y2},...,{xN,yN}}
f=Interpolation[data]
NIntegrate[f[x],{x,x1,xN}]

Is it the correct way ? Because Mathematica hangs without giving me an
answer although it seems a pretty straightforward thing to do...

Thanks for any suggestions.

From: dh on


HI,

what you describe sounds reasonable and should work.

Did you check for syntax errors? How many pints are there? Try it with a

few points and you may find the bug.

hope this helps, Daniel





guerom00 wrote:

> Hello everyone,

>

> I have a function which I read as a list of points. I want then to

> estimate its integral. I do more or less this :

>

> data={{x1,y1},{x2,y2},...,{xN,yN}}

> f=Interpolation[data]

> NIntegrate[f[x],{x,x1,xN}]

>

> Is it the correct way ? Because Mathematica hangs without giving me an

> answer although it seems a pretty straightforward thing to do...

>

> Thanks for any suggestions.

>



From: Jean-Marc Gulliet on
guerom00 wrote:

> I have a function which I read as a list of points. I want then to
> estimate its integral. I do more or less this :
>
> data={{x1,y1},{x2,y2},...,{xN,yN}}
> f=Interpolation[data]
> NIntegrate[f[x],{x,x1,xN}]
>
> Is it the correct way ? Because Mathematica hangs without giving me an
> answer although it seems a pretty straightforward thing to do...

Well, the method is correct, but its implementation must be faulty in
some way since Mathematica hangs. Without an actual sample of the code
and data you are using, it is indeed hard to tell where the error is
located. For instance, the following works like a charm on my system
(and should on your system too)


data = RandomReal[{0, 10}, {10, 2}]
f = Interpolation[data]
f // FullForm
f[[1, 1]]
f[2.5]
Plot[f[x], {x, f[[1, 1, 1]], f[[1, 1, 2]]}]
Show[%, ListPlot[data]]
Integrate[f[x], {x, f[[1, 1, 1]], f[[1, 1, 2]]}]
NIntegrate[f[x], {x, f[[1, 1, 1]], f[[1, 1, 2]]}]


Regards,
-- Jean-Marc

From: Curtis Osterhoudt on
Hi, Gueromo,

It seems to work for me:

In[1]:= data = ({#1, Sin[13.4*#1]} & ) /@ Range[0, 4, 0.01];
f = Interpolation[data];
NIntegrate[f[x], {x, 0, 4}]
Integrate[f[x], {x, 0, 4}]
Integrate[Sin[a*x], x]
% /. a -> 13.4
(% /. {x -> 4}) - (% /. {x -> 0})


During evaluation of In[1]:= NIntegrate::ncvb: NIntegrate failed to \
converge to prescribed accuracy after 9 recursive bisections in x \
near {x} = {0.126211}. NIntegrate obtained 0.14786850709355207` and \
1.9590212682839143`*^-7 for the integral and error estimates. >>

Out[3]= 0.147869

Out[4]= 0.147869

Out[5]= -(Cos[a x]/a)

Out[6]= -0.0746269 Cos[13.4 x]

Out[7]= 0.147869



On Monday 14 April 2008 04:53:33 guerom00 wrote:
> Hello everyone,
>
> I have a function which I read as a list of points. I want then to
> estimate its integral. I do more or less this :
>
> data={{x1,y1},{x2,y2},...,{xN,yN}}
> f=Interpolation[data]
> NIntegrate[f[x],{x,x1,xN}]
>
> Is it the correct way ? Because Mathematica hangs without giving me an
> answer although it seems a pretty straightforward thing to do...
>
> Thanks for any suggestions.



--
==========================================================
Curtis Osterhoudt
cfo(a)remove_this.lanl.and_this.gov
PGP Key ID: 0x4DCA2A10
Please avoid sending me Word or PowerPoint attachments
See http://www.gnu.org/philosophy/no-word-attachments.html
==========================================================

From: Bob Hanlon on
data = Sort[RandomReal[{0, 1}, {10, 2}]];

f = Interpolation[data];

xMin = f[[1, 1, 1]];
xMax = f[[1, 1, 2]];

Plot[f[x], {x, xMin, xMax}]

Integrate[f[x], {x, xMin, xMax}]

-2.16322

NIntegrate[f[x], {x, xMin, xMax}]

-2.16322


Bob Hanlon

---- guerom00 <guerom00(a)gmail.com> wrote:
> Hello everyone,
>
> I have a function which I read as a list of points. I want then to
> estimate its integral. I do more or less this :
>
> data={{x1,y1},{x2,y2},...,{xN,yN}}
> f=Interpolation[data]
> NIntegrate[f[x],{x,x1,xN}]
>
> Is it the correct way ? Because Mathematica hangs without giving me an
> answer although it seems a pretty straightforward thing to do...
>
> Thanks for any suggestions.
>


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