How to integrate an array?
I need to compute integral of some array function, something like: from scipy import * f = lambda x: array( [sin(x),cos(x)] ) integrate.quad(f, 0, 1) Unfortunately integrate.quad requires Float type. Any ideas how to perform this? Thanks, T.Kaz. -- http://mail.python.org/mailman/listinfo/python-list
Re: How to integrate an array?
Tom Kaz wrote: I need to compute integral of some array function, something like: from scipy import * f = lambda x: array( [sin(x),cos(x)] ) integrate.quad(f, 0, 1) Unfortunately integrate.quad requires Float type. Any ideas how to perform this? Do each function separately. The routine that scipy.integrate.quad uses adapts to the local conditions of the function (when the function is flat, it uses fewer samples; when steep, more). -- Robert Kern [EMAIL PROTECTED] In the fields of hell where the grass grows high Are the graves of dreams allowed to die. -- Richard Harter -- http://mail.python.org/mailman/listinfo/python-list
Re: How to integrate an array?
Do each function separately. The routine that scipy.integrate.quad uses adapts to the local conditions of the function (when the function is flat, it uses fewer samples; when steep, more). It's not so easy to do it separately. I want to integrate function that includes linalg.expm - as you see calculation the function is quite expensive. T.Kaz. -- http://mail.python.org/mailman/listinfo/python-list
Re: How to integrate an array?
Tom Kaz wrote: [I wrote:] (please attribute quotes) Do each function separately. The routine that scipy.integrate.quad uses adapts to the local conditions of the function (when the function is flat, it uses fewer samples; when steep, more). It's not so easy to do it separately. I want to integrate function that includes linalg.expm - as you see calculation the function is quite expensive. I understand, but the good integration algorithms really do need to evaluate each dimension separately. If you can bear algorithms that only use samples from fixed intervals, then you can use the functions romb(), simps(), or trapz() in scipy.integrate. BTW, a better place to ask scipy questions would be the scipy mailing list. http://scipy.net/mailman/listinfo/scipy-user -- Robert Kern [EMAIL PROTECTED] In the fields of hell where the grass grows high Are the graves of dreams allowed to die. -- Richard Harter -- http://mail.python.org/mailman/listinfo/python-list
