Current Topics on Mathematics and Computer Science Vol. 2

This book covers key areas of mathematics and computer science. The contributions by the authors include algorithm of Collatz, variables, Emiliano theorem, Diophantic equations, integral representation, super-singular kernels, invers formula, three-dimensional integral equations, Dirichlet type boundary value problem, three-body problem, Liberation points, Linear stability, zero velocity curve, handwriting recognition, database scheme, database interface, internet router, self-similarity, Markovian arrival process, queueing theory, matrix analytic methods, partial buffer sharing, packet loss probability, function zeta, convergent series, Abel‐Ruffini Theorem, Enfer Diez equation, congruence method, polynomials, dimension reduction, multidimensional information visualization, Euclidean distance, embedding algorithms, pattern classification, infinite algorithms, hierarchical scale space, multiscale, feature extraction, segmentation, fuzzy inference system, landsat- 8, fuzzy knowledge rules, object oriented image analysis, google earth engine, machine learning, algorithms, supervised learning methods, predictive analytics, data analytics, climate change, support vector machine, linear discriminant analysis, feature extraction, feature selection, operational data center, MPLS computer networks, VDI, Model-view-controller, customized algorithm, spatio-temporal databases, Region of Interest, geospatial analysis, parallel programming, concurrency, autoregression, contaminated errors, distribution mixes. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer science.