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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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Toc

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 Equations and Optimization

In this chapter, you will learn how to solve a system of equations and its methods of solution, as well as the optimization solutions for non-linear equations.

We will see the following topics:

  • Non-linear equations and systems
  • System of equations and how to solve it
  • Choosing the solver used to find the solution of equations
  • Solving constrained non-linear optimization problems in several variables
  • Solving one-dimensional optimization problems
  • Solving multidimensional non-linear equations using the Newton-Krylov method
  • Solving multidimensional non-linear equations using the Anderson method
  • Finding the best linear fit for a set of data
  • Doing non-linear regression for a set of data
  • Regression
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