Research Updates in Mathematics and Computer Science Vol. 9

This book covers key areas of mathematics and computer science. The contributions by the authors include Lie’s similarity transformation method, coupled nonlinear partial differential equations, Yang-Mills-Higg’s field equations, dyon, optimal inventory model, deterioration rate, default risk, trade credit, inventory, stochastic demand, dependent quadratic demand, variances and covariance assessment, liquid water content, cloud of warm microphysics, earth’s hydrological cycle, microphysical processes, turbulence, horner method, classic algorithm, polynomial evaluation, error analysis, coding theory, disease-control interventions, malaria, transmission dynamics of malaria endemic, Lie theory of symmetry groups, prelle–singer procedure, ordinary differential equations, new frontiers in calculus, tangent line solutions, newton’s difference quotient, newton’s power rule, machine learning models, sentiment analysis, recommender systems, application programming interface, steady state solution bivariate poisson process, M/M/1/N queuing model, sensitivity analysis, visualization techniques, compartmental models, global carbon cycle, stress components, two dimensional problem, lord-shulman model, green-lindsay model, time-domain approach. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.