Research and Applications Towards Mathematics and Computer Science Vol. 7

This book covers key areas of mathematics and computer science. The contributions by the authors include braid groups, conjugacy classes, isomorphism problem, cryptosystems, Data compression, wireless sensor networks, Rice Golomb coding, MARGC algorithm, topology control, clustering, self-oganizing map, neural gas, Fuzzy C-Means, colour mapping, NG visualization, machine learning, Jaccard function, cosine similarity, artificial intelligence, spectral local linearization method, viscosity, Arrhenius model, Eckert number, Water-copper nanoparticles, permeable channel, nonlinear radiative heat flux, convective boundary conditions, Maxwell nanofluids, spinning system, Fulati-Suranjan formulae, Babylonian mathematicians, Probir’s Constant, blast domination number, triple connected graph, bootstrap; markov chain monte carlo, Bayesian method, variance-covariance structure, Hausman test; random effects model, fixed effects model; least squares dummy variable. block design; incidence matrix; binary design; ternary designs; connected design; variance balanced design, incidence matrix; super saturated design, customer segmentation, machine learning. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer science.