# Numeric integration in python

• Python

## Main Question or Discussion Point

I'm trying to write a python program that is able to numerically execute functions of the form:

y(t) = exp(Integrate[A(x),x]) within the bounds of 0 and t

I tried using quad from scipy.integrate but it seems not to be able to evaluate expressions of this form.

Any other suggestions on appropriate packages or commands?

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uart
I'm trying to write a python program that is able to numerically execute functions of the form:

y(t) = exp(Integrate[A(x),x]) within the bounds of 0 and t

I tried using quad from scipy.integrate but it seems not to be able to evaluate expressions of this form.

Any other suggestions on appropriate packages or commands?
Can you be a bit more specific sola maths? Do you mean:

$$y(t) = \exp(\int_0^t A(x) \, dx)$$

You have some specific function A(x) that you can evaluate numerically?

Also, is that just you integrand? Do you need to evaluate,

$$\int_a^b \, e^{\int_0^t A(x) \, dx} \, dt$$

Hi uart,

Yes, I have some function A(x) that I need to evaluate numerically as x changes. The first expression you wrote is what I meant.

uart
Hi uart,

Yes, I have some function A(x) that I need to evaluate numerically as x changes. The first expression you wrote is what I meant.
Ok so it's just $y(t) = \exp(\int_0^t A(x) \, dx)$ that you need to evaluate.

Quad can do this easily, but only for one particular value of "t" at a time. However you could call it (quad) from within a function if you wished to properly make a function of "t". For example,

Code:
def functA(x):
return x*x/2.0

def functY(t):
90.017131300521896