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SciPy Recipes

You're reading from   SciPy Recipes A cookbook with over 110 proven recipes for performing mathematical and scientific computations

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788291460
Length 386 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Table of Contents (11) Chapters Close

Preface 1. Getting to Know the Tools FREE CHAPTER 2. Getting Started with NumPy 3. Using Matplotlib to Create Graphs 4. Data Wrangling with pandas 5. Matrices and Linear Algebra 6. Solving Equations and Optimization 7. Constants and Special Functions 8. Calculus, Interpolation, and Differential Equations 9. Statistics and Probability 10. Advanced Computations with SciPy

Solving linear systems using matrices

A typical linear equation is expressed in the form of ax+by=c, where x and y are unknowns and a, b, and c are known values. Essentially, we are trying to find a relationship between a, b, and c.

There are multiple ways in which one is able to solve linear equations. In this recipe, we will be looking into the built-in function available in SciPy that helps us in solving a given linear system.

How it works…

The intuition behind solving for x and y is as follows:

([[a1 , b1 ], x ([x], = ([c1],
[a2 , b2 ]]) [y]) [c2])

For convenience, let's call the left-hand side matrix (a1, b1, a2, b2) the input matrix and the right-hand side matrix (c1, c2...

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