Mathematics and Computer Science: Contemporary Developments Vol. 2

This book covers key areas of mathematics and computer science. The contributions by the authors include behavioural characteristics, psychopathic personality traits, neuropsychiatric disorder, logistic regression, information diffusion, online social networks, influential node identification, independent cascade model, solvable differential graded r-modules algorithms, ring theory, k-algebra, r-module homomorphism, unequal gap spacing, reynolds number, aspect ratio, single relaxation time lattice Boltzmann method, vortex shedding suppression, conduction of heat, fourier’s heat equation, Euler-Lagrange equation, laplace transform, 2D and 3D heat conduction equation, Duhamel’s theorem, calculus of variations, hyperbolic heat conduction equation, graph theory, lobster theorem, geodetic domination, social network analysis, clinical decision support model, breast cancer, re-engineering processes, machine learning, BG algebra, intuitionistic fuzzy set, T-intuitionistic fuzzy. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.