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Titlebook: Computer Methods in Mechanics; Lectures of the CMM Mieczysław Kuczma,Krzysztof Wilmanski Book 2010 Springer-Verlag Berlin Heidelberg 2010

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Nonconvex Inequality Models for Contact Problems of Nonsmooth Mechanicsroblems of frictional contact with both short and long memory, thermoviscoelastic frictional contact, bilateral frictional contact and bilateral contact for piezoelectric materials with adhesion are considered. The formulations and results on existence, and uniqueness of solutions are presented.
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A Boundary Integral Equation on the Sphere for High-Precision Geodesytes. Numerical experiments show that this meshless method is superior to standard boundary element computations with piecewise constants. If we increase the element order, BEM might be competitive but then we also have to approximate appropriately the surface otherwise the convergence rate will be spoiled.
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Immune Computing: Intelligent Methodology and Its Applications in Bioengineering and Computational Mould serve as the basis of constructing computational models and algorithmic solutions is made. Applications of this intelligent methodology to bioengineering and computational mechanics problems are presented.
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https://doi.org/10.1007/978-3-662-41877-2ial domain. The search for the optimal solution is performed using a simplicial decomposition algorithm. The use of the proposed approach is illustrated by a numerical example involving sensor selection for a two-dimensional diffusion process.
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Explicit Discrete Dispersion Relations for the Acoustic Wave Equation in ,-Dimensions Using Finite E any number of spatial dimensions; (.) the optimal scheme guarantees two additional orders of accuracy compared with both finite and spectral element schemes; and (.) the absolute accuracy of the optimally blended scheme is . and . times better than that of the pure finite and spectral element schemes respectively.
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Sensor Network Design for Spatio–Temporal Prediction of Distributed Parameter Systemsial domain. The search for the optimal solution is performed using a simplicial decomposition algorithm. The use of the proposed approach is illustrated by a numerical example involving sensor selection for a two-dimensional diffusion process.
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