Classic numerical methods

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Authors: DOUGLAS M. GINGRICH
Cited by: 0

Abstract

This chapter discusses some classic numerical methods. These topics can essentially be found in most introductory computational or numerical methods books. The purpose of this discussion is to build the foundation for subsequent chapters while introducing some solutions to physical problems, as well as some simple Python code, use of libraries, and plotting. The topics covered in this chapter include the calculation of series; the solution of nonlinear algebraic equations or root finding; optimization or finding the minimum of a function; interpolation of data; function approximation; matrices and eigensystems; integration of algebraic functions or data; and finite differences. Lastly, the process of converting symbolic mathematical expressions into numerical functions that can be evaluated with specific values is discussed. The solution of differential equations is covered in detail in the subsequent chapter.

Fields of Study & Subjects

Mathematical and Computational Methods Computational Physics and Python Applications Numerical Solvers for Ordinary Differential Equations

Publication details

Journal / source
CRC Press eBooks
Pages
4–55
Publication date
10 March 2026
Language
EN
Document type
Book chapter