Theory and Practice of Mathematics and Computer Science Vol. 11

This book covers key areas of mathematics and computer science. The contributions by the authors include guard channel, dynamic channel, fixed channel, spectrum, joint entropy estimation, conditional entropy estimation, mutual information estimation, concomitants of order statistics, best linear unbiased estimator, Lindley distribution, morgenstern type bivariate Lindley distribution, axisymmetry, graph invariant, shifts of feature locations, mental rotation, microcontroller, leaf sensor, phase sensor, multipath routing, single shortest path, load balancing, multiple paths, path selection, traffic distribution, Bioequivalence test, Three-arm four-step clinical trial, Z-Chi Square method, biological algorithms, data mining and clustering techniques, ant colony optimization clustering algorithm, K-Harmonic Means Clustering algorithm, matrix multiplication, ST-coloring, ST-chromatic number, ST-span, ST-edge span, global positioning system, geocoding engine, location listener, location intelligence, Tikhonov method, constrained linear equations, closed ranges, real Hilbert spaces, Randić spread, Randić matrix, Riemann’s hypothesis, positive integers, Möbius’s function, finite exponential functional series, finite exponential functional progressions, Lindelof’s hypothesis, Filtered Derivative, False Discovery Rate, semi supervised clustering, PSO algorithm, image segmentation. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer science.