This file is intended to show a developer how Mathcad should be considered as a prototype software with the subsequent code such as Python, Julia, etc. has the description of the data input, algorithm, and results available to validate the algorithms created in Python, Julia, etc.

1. Mathcad -- CP (Computational Physics) with Python - Example Example 0.1.1.xmcd
First Example of Computational Physics Using Python
by Julio C. Banks, PE
Reference
Computational Physics With Python by Dr. Eric Ayars - 2013
Page 6. Copyright c 2013 Eric Ayars except where otherwise noted.
Version 0.9, August 18, 2013.
Note: Julia is a computer language similar to Python but unlike Python, Julia is
compiled.
Solve the system of linear algebraic equations [A]{x} = {b}
Example 0.1.1
In electronics, Kirchho's laws are used to solve for the currents through components
in circuit networks. Applying these laws gives us systems of linear equations, which
can then be expressed as matrix equations, such as
A
13
2
4
2
11
6
4
6
15








 x
IA
IB
IC










= b
5
10
5









Python solution
Input:
A = matrix([ [-13,2,4], [2,-11,6], [4,6,-15] ])
B = array([5,-10,5])
Solution:
linalg.solve(A,B)
--> array([-0.28624535, 0.81040892, -0,08550186])
Mathcad v15 Solution: x A
1
b
0.28624535
0.81040892
0.08550186









Post Process:
IA
IB
IC










x
0.28624535
0.81040892
0.08550186









Julio C. Banks, PE Sell-A-Vision@Outlook.com page 1 of 1