Developing Computational and Scientific Applications

Computational scientists always choose easy-to-use, effective, and accurate GUI-based applications for their discovery, analysis, synthesis, data mines, and number crunches to save time and effort in arriving at some conclusions for their studies. Although powerful computational tools are available in the market, such as Maple, Matlab, MathCAD, and Mathematica, scientists still prefer mechanisms that can provide them with further customizations to apply their desired precision, accuracy, and calibration for their mathematical and statistical models. In other words, they still prefer custom-made applications that can fit with their laboratory setup and parameters.

Since the utmost priority is to provide scientists with accurate results given an infinite number of data, it is always a challenge as to what application frameworks to use in building scalable, real-time, and fast modules suited to their needs. The ultimate requirement...