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

© Robert Johansson 2019

Robert JohanssonNumerical Python https://doi.org/10.1007/978-1-4842-4246-9_5

5. Equation Solving

Robert Johansson¹ 

(1)

Urayasu-shi, Chiba, Japan

 

In the previous chapters, we have 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.

Starting from this chapter, we begin to explore how to solve problems from different domains of applied mathematics and computational sciences, using the basic techniques introduced in the previous chapters. The topic of this chapter is algebraic equation solving. This ...