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Numerical Differentiation and Integration
| Content Provider | Scilit |
|---|---|
| Author | Bashier, Eihab B. M. |
| Copyright Year | 2020 |
| Description | This chapter discusses the numerical methods for approximating derivative and integrations of functions. The chapter is divided into two sections: the first section discusses the numerical differentiation of functions based on finite difference formulas and the second discusses the numerical integration based on Newton-Cotes and Gauss methods. Such numerical differentiation or integration algorithms are implemented using both MATLAB® and Python. Book Name: Practical Numerical and Scientific Computing with MATLAB® and Python |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2018-0-91821-9&isbn=9780429021985&doi=10.1201/9780429021985-6&format=pdf |
| Ending Page | 163 |
| Page Count | 39 |
| Starting Page | 125 |
| DOI | 10.1201/9780429021985-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-03-18 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Practical Numerical and Scientific Computing with Matlab® and Python Python Finite Matlab Functions Numerical Differentiation Newton Differentiation Or Integration |
| Content Type | Text |
| Resource Type | Chapter |