Using Python: Solve the following equation numerically using the forward Euler method   (du)/(dt)=t^(2)-10 with the initial condition u(0)=50   As part of the solution process converge the solution by decreasing the step   size   You can determine the solution by taking the root-mean-square of the error   with respect to the exact solution. You will need to calculate the solution to   this differential equation. Then for each step size h, you can calculate the   root-mean-square of the error. Once the root-mean-square of the error is less   than the accuracy of the solution, your result is converged. Choose a time   grid say from 0 to 20.   Once you have this working, try solving using the Forward Euler method,   (du)/(dt)=u*cos(t) with the initial condition u(0)=1, and using a mesh from 0,10.

C++ for Engineers and Scientists
4th Edition
ISBN:9781133187844
Author:Bronson, Gary J.
Publisher:Bronson, Gary J.
Chapter1: Fundamentals Of C++ Programming
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Using Python: Solve the following equation numerically using the forward Euler method
 
(du)/(dt)=t^(2)-10 with the initial condition u(0)=50
 
As part of the solution process converge the solution by decreasing the step
 
size
 
You can determine the solution by taking the root-mean-square of the error
 
with respect to the exact solution. You will need to calculate the solution to
 
this differential equation. Then for each step size h, you can calculate the
 
root-mean-square of the error. Once the root-mean-square of the error is less
 
than the accuracy of the solution, your result is converged. Choose a time
 
grid say from 0 to 20.
 
Once you have this working, try solving using the Forward Euler method,
 
(du)/(dt)=u*cos(t) with the initial condition u(0)=1, and using a mesh from 0,10.
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