Research and Applications Towards Mathematics and Computer Science Vol. 1

This book covers key areas of mathematical and computer science. The contributions by the authors include Markov chain model, transition probability, blocking probability, transition probability matrix, exponential function, extorial function, differential equation, permutation matrix, positive integer, generalized fan graph, complex valued metric space, coupled fixed point theorem, contractivetype mapping, convolutional neural network, machine learning, Reynold’s equation, squeezed film pressure, hydromagnetic squeeze films, cybercrime, cyber thieves, DAG decomposition, harmonic centrality, harmonic centralization, elementary catastrophe theory, psycho-physics, negative Schwarz’ derivative. This book contains various materials suitable for students, researchers and academicians in the field of mathematical and computer science.