Monotone Data Modelling Using Rational Cubic Fractal Interpolation Function

Geometric modelling of several intricate and complex structures such as trees, mountains, clouds, ferns, geographic topography, coastlines is challenging in computer graphics. Traditional splines astrigonometric, polynomial, exponential, rational fail to simulate this significant class structures, which are highly irregular nature. For purpose, research develops a novel cutting-edgemethod for synthesizing structures. The proposed technique; C 1 fractal interpolation function (FIF) builds an iterated system (IFS) by integrating calculus cubic polynomial functions. Appropriate conditions on scaling shape parameters derived help maintain the inherited qualities data. Experiments numerous scientific domains, pharmaceutical chemical industries have been presented example, confirm usefulness suggested model. Moreover, graphic results demonstrated that developed monotone hybrid model (MHM) offers heterogeneous method gathering data with structure.