This book covers key areas of mathematics and computer science. The contributions by the authors include sensor network structure, sensor architecture design, Ad hoc wireless sensor networks, data processing paradigm, adaptive cluster sampling, ratio estimator, robust estimator, mean squared error, code offload analyzer, code scheduler, greedy hill algorithm, predictive models, machine learning, tribology, soft computing, combinatorial algorithms, symmetric group, dihedral group, Laplacian model, spectral zeta function, riemann zeta function, casimir energy, schrödinger operator, Rayleigh Schrödinger perturbation, interior equilibrium point, lyapunov’s function and routh-harwitz criteria. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer science.

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• Mathematics - Natural Sciences
• Computer and Information Sciences - Natural Sciences