Practical Numerical Computing Using Python: Scientific & Engineering Applications
โ Scribed by Mahendra Verma
- Year
- 2021
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Key Features of the Book:
- Perfect book for introduction to practical numerical algorithms and programs for advanced undergraduate and beginning graduate students.
- Introduces Python programming language and its modules related to numerical computing
- Covers Numpy, Matplotlib, and Scipy modules in details.
- Illustrates how to make a variety of plots and animations.
- Detailed discussions on important numerical algorithms: Interpolation, Integration, Differentiation, ODE and PDE solvers, and Linear algebra solvers.
- Practical implementation of the algorithms in Python.
- Introduces Spectral and Finite-difference methods and applications to fluid mechanics and quantum mechanics.
- Includes chapters on Monte Carlo methods and applications to statistical physics, as well as on error analysis.
- A brief introduction to Computer hardware, complexity estimates, and nondimensionalization.
๐ SIMILAR VOLUMES
This book concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of
Practical Numerical and Scientific Computing with MATLABยฎ and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on
<em> <strong>Practical Numerical and Scientific Computing with MATLAB(R) and Python</strong> </em> concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Pyt
<p><em><strong>Practical Numerical and Scientific Computing with MATLAB® and Python</strong></em> concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Pyth
<span>Applied Numerical Methods with Python</span><span>, 1st Edition is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory i