Mathematics and Computer Science: Contemporary Developments Vol. 10

This book covers key areas of mathematics and computer science. The contributions by the authors include symmetric spaces, Riemannian Manifold, Lie groups and Lie algebras, topological manifold, student’s interest in geometry, use of mathematical software, students’ learning and success, image denoising issues, K-SVD Method, Gaussian additive noise, tarnished image, Bayesian treatment, microfinance institutions, artificial neural networks, financial distress, multlayer perceptron networks, traffic share loss, competitive internet networks, Markov chain model, user behaviors, quality of service, kinematics, angle trisection problem, Eometer’s sketch pad, trisector design, geometer’s sketch pad, cancer incidence classification, Bhopal gas tragedy, health data, tobacco-related cancer, non-tobacco-related cancer, data mining, medical science, convective mass transfer, catheter-based drug delivery systems, Newtonian fluid, detour self-decomposition, corona product, Kolmogorov equations, asymmetric markov chains, state graph, energy system reliability. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.