Theory and Practice of Mathematics and Computer Science Vol. 8

This book covers key areas of mathematics and computer science. The contributions by the authors include collaborative information retrieval, algorithms, logistic regression, multicollinearity, variance inflation factor, condition index, variance proportions, system reliability, multi-state system, multiple-valued logic, multi-valued Karnaugh Map, Capacitated networks, map method, reduction rule, max-flow min-cut theorem, star-delta transformation, pseudo-switching function, prime implicant, probability-ready expression, cyclic codes, quaternion algebra, muffin ideal, mannheim distance, etinal pigment epithelium, subretinal space, choriocapillaris, vitreous humor, Dirichlet problem, fictitious domain, Daubechies wavelet function, finite difference, heat transfer, isomorphism, indexing variables, optimization, algorithms performance, quarterly disaggregation. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer sciences.