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Titlebook: Variational Views in Mechanics; Paolo Maria Mariano Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to

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31#
發(fā)表于 2025-3-26 22:36:54 | 只看該作者
32#
發(fā)表于 2025-3-27 01:37:51 | 只看該作者
Book 2021overed include:.Topology optimization.Identification of material properties.Optimal control.Plastic flows.Gradient polyconvexity.Obstacle problems.Quasi-monotonicity..Variational Views in Mechanics. will appeal to researchers in mathematics, solid-states physics, and mechanical, civil, and materials engineering..
33#
發(fā)表于 2025-3-27 08:43:47 | 只看該作者
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發(fā)表于 2025-3-27 09:27:21 | 只看該作者
35#
發(fā)表于 2025-3-27 15:34:22 | 只看該作者
Placement of an Obstacle for Optimizing the Fundamental Eigenvalue of Divergence Form Elliptic Operases, we characterize the global extremal configurations with respect to rotations and translations of the obstacle. Finally, we provide results of several numerical experiments for obstacles with different orders of symmetries and two different types of elliptic operators, which validates our theor
36#
發(fā)表于 2025-3-27 21:46:10 | 只看該作者
Optimal Feedback for Structures Controlled by Hydraulic Semi-active Dampers, operation modes, its control signal’s range is a two-object set. Krotov’s method is used for solving this problem. This method requires to formulate a function’s sequence with special properties and a suitable minimizing feedback. By doing so, a process improvement becomes possible and an improving
37#
發(fā)表于 2025-3-27 23:00:43 | 只看該作者
38#
發(fā)表于 2025-3-28 05:37:49 | 只看該作者
Identification of Diffusion Properties of Polymer-Matrix Composite Materials with Complex Texture,parameters. The problem being non-convex, the numerical strategy used for the search of the global minimum is a Particle Swarm Optimization—PSO, the code ALE-PSO (Adaptive Local Evolution-PSO) with adaptive coefficients.
39#
發(fā)表于 2025-3-28 06:52:31 | 只看該作者
40#
發(fā)表于 2025-3-28 10:54:00 | 只看該作者
https://doi.org/10.1007/978-3-030-90051-9Calculus of variations; Continuum mechanics; Topology optimization; Obstacle problems; Gradient polyconv
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