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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

Calculating the LU decompositions of a matrix 

LU decomposition (where LU stands for lower upper, also called LU factorization) factors a matrix as the product of a lower triangular matrix and an upper triangular matrix, such that the product of these two matrices provides the original matrix.

This method of factorizing a matrix as a product of two triangular matrices having various applications such as finding the solution of a system of equations, which itself is an integral part of many applications, finding the current in a circuit and solution of discrete dynamical system problems, finding the inverse of a matrix, and finding the determinant of the matrix.

Basically, the LU decomposition method comes in handy whenever it is possible to model the problem to be solved in the matrix form. Conversion to the matrix form and solving with triangular matrices makes it easy to...

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