ABSTRACT

Makes Numerical Programming More Accessible to a Wider AudienceBearing in mind the evolution of modern programming, most specifically emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ utilizes the author's many years of practical research and tea

chapter 1|10 pages

Approximate Numbers

chapter 2|20 pages

Basic Programming Techniques

chapter 3|32 pages

Elements of Scientific Graphics

chapter 4|22 pages

Sorting and Indexing

chapter 5|42 pages

Evaluation of Functions

chapter 6|42 pages

Algebraic and Transcendental Equations

chapter 7|64 pages

Systems of Linear Equations

chapter 8|32 pages

Eigenvalue Problems

chapter 9|68 pages

Modeling of Tabulated Functions

chapter 10|62 pages

Integration of Functions

chapter 11|32 pages

Monte Carlo Method

chapter 12|82 pages

Ordinary Differential Equations

chapter 13|78 pages

Partial Differential Equations