Tricubic Interpolation in Scientific Data Visualization Problems
Kondybayeva Almagul Baurzhanovna, S. V. Solodov · 2019 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) · 2019
The goal of the research is an exploration of the possible algorithm for science visualization problems in interpolation of the visualization arrays of subsets. The subject of the study is a tricubic spline interpolation method (cubic spline interpolation). The methodology of the research is a programming the work of the mathematical model on a c# language with the use of windows presentation forms for the presentation mode work. The results of the study and its' application are important for the science visualization in medicine for the DICOM computer tomography data. Moreover, the applications of the work are relevant for the interpolation of the particle physics interactions. In conclusion, numerical methods study the construction, application and theoretical substantiation of algorithms for the approximate solution of various classes of mathematical problems. Currently, most computational algorithms are focused on the use of high-speed computers. It should be noted some features of numerical methods. First, numerical methods are characterized by multiplicity, i.e., the ability to solve the same problem by various methods. Secondly, the newly emerging natural science problems and the rapid development of computing technology force us to overestimate the importance of existing algorithms and lead to the creation of new ones.