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IPython Notebook Essentials

You're reading from   IPython Notebook Essentials Compute scientific data and execute code interactively with NumPy and SciPy

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783988341
Length 190 pages
Edition 1st Edition
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Author (1):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Advanced mathematical algorithms with SciPy


In this section, we will cover some of the algorithms available in SciPy. Each of the following subsections features a representative example from a significant area of applied science. The examples are chosen so as not to require extensive domain knowledge but still be realistic. These are the topics and examples that we present:

  • Solving equations and finding optimal values: We will study a market model that requires the solution of a nonlinear system and a facility location problem requiring a nonstandard optimization.

  • Calculus and differential equations: We will present a volume calculation that uses integral calculus, and Newton's canon, a thought experiment proposed by Isaac Newton, which we will model using a system of differential equations. Finally, we will present a three-dimensional system, the famous Lorenz equations, which is an early example displaying chaotic behavior.

Solving equations and finding optimal values

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