Theory and Practice of Mathematics and Computer Science Vol. 10

This book covers key areas of mathematics and computer science. The contributions by the authors include population dynamics, growth models, stochastic models, linear differential equation, second order derivatives, variable coefficients, cauchy problem, Riemann zeta factorial function, fractional order, natural numbers, harmonic series, fractional and partial difference equations, extorial solutions, polynomial factorials, exponential function, unitary space time modulation, Grasamannian constellation, antipodal point, orthogonal design, maximum-likelihood  detector, maximum flow, minimum cost-maximum flow, objective function, flow conservation and capacity constraints, algorithm, transportation problem, assignment problem, shortest path problem, caterer problem, network flow diagram, nodes, arcs, source, sink, capacity, residual capacity, node potentials, augmenting path, optimal solution, Complementary Slackness, optimality Condition, Kilter diagram, Out-of-Kilter algorithm, transportation problem, assignment problem, shortest path problem, fuzzy set, fuzzy soft set, average fs-aggregate, digital watermarking, visible watermarking technique and discrete wavelet transform, additive color mixing, set theory, subtractive color mixing, intersection of set, union of set, universal set and complement of set, multi-threading, rule learner, classification accuracy, linear programming, simplex method, dual problem, station cone. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer science.