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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
book

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

by Robert Johansson
September 2024
Intermediate to advanced content levelIntermediate to advanced
501 pages
17h 6m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. JohanssonNumerical Pythonhttps://doi.org/10.1007/979-8-8688-0413-7_5

5. Equation Solving

Robert Johansson1  
(1)
Urayasu-shi, Chiba, Japan
 

The previous chapters discussed general methodologies and techniques, namely, array-based numerical computing, symbolic computing, and visualization. These methods are the cornerstones of scientific computing that make up a fundamental toolset we have at our disposal when attacking computational problems.

This chapter begins our exploration of solving problems from different domains of applied mathematics and computational sciences using the basic techniques. The topic of this chapter is algebraic equation solving. This ...

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Publisher Resources

ISBN: 9798868804137Purchase LinkPublisher Website