of solving problems in science and engineering involve experimental methods
that have been around for a while, as well as developing newer methods with the
advent of better technology and sustainable power. However, the next step in an increasingly integrated
relationship between various fields is to approach these problems using Computational
Science, which is an innovative field that integrates aspects of pure
mathematics, computer science, science, and engineering.
Science is a numerical approach to solving problems in science and engineering
that can either be approached numerically or converted into a mathematical model for
numerical analysis. The mathematical
aspect of Computational Science sometimes imposes parameters or limitations on
analyzing problems, which relies heavily on numerical analysis. Numerical analysis, the mathematical side of
Computational Science, involves the study of algorithms and its relevance in
mathematical problems. This combined approach of both computing and
mathematics involves using computers to simulate a problem, or a possible
solution to the problem, through mathematical models or analysis using numerical
techniques that impose limitations or extrapolations on the problem.
lies in the computer properly and accurately simulating problems (or sometimes
scenarios) that involve heavy calculations which are performed by
supercomputers or via distributed computing. The computational aspect is also dependent on
specified software, applications, and programs that programmers develop in
conjunction with scientists or engineers.
Often, many scientists and engineers are proficient in programming in
order to properly develop programs they use for their own research. This is because an intimate understanding of
how the program must work, such as the interface, and the method of analysis
must be suitable for a specific problem.
Science is a step beyond in that it takes this numerical analysis and imposes
on it, a scientific or engineering aspect that has a real life application on a
global scale from diseases to natural disasters.