Numerical Programming

Numerical Programming is Hybrid Branch of Computer Science and Mathematics in which mathematical problems are solved by using skills of computer programming languages. Scope of numerical programming had been extended to nearly all academic streams.  It is used extensively in algorithm writing, problem solving, simulation, result prediction, visualisation and finding solutions of problems related to social, economical, science, engineering and medical fields.

There are several programming languages used for numerical programming.  Use of language depends on background of users, usability, scope of application etc. The main languages used for numerical programming are:

C & C++ : C or C++ language is used by those users who wants to go into "deep in root" of numerical programming. As C language has limited ready-made mathematical functions, hence users needed to write each and every function, equation, algorithm they want use. This is why, C is used by experts, professional and developers who wants to sharp their skills and concepts of writing software or writing advanced algorithms of own requirement.  Hard to use. Hard to amend and it has frustrating error handling.

Python : It has hundreds of ready-made mathematical functions and they are available with python compilers. Python is fast growing programming language that is accepted by academics for writing numerical programming codes for finding their results or solutions.  Its usability is medium. Error handling is better.

Java : Java is rich and advance in availability of ready-made mathematical functions.  Suitable for new programmers for numerical programming.  Easy to use. Easy to amend. Error handling is simple. 


Numerical Programming is used for solving problems related to


Numerical Programming must be studied by: