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Titlebook: Calculus of Variations; Filip Rindler Textbook 2018 Springer International Publishing AG, part of Springer Nature 2018 calculus of variati

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Competitive Learning and Clustering,ter, however, here we proceed in a more abstract way: We first introduce the theory of ., which extends the standard theory of Young measures developed in Chapter .. Besides quantifying oscillations (like classical Young measures), this theory crucially allows one to quantify . as well, thus providi
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Neural Networks in a Softcomputing Frameworktransitions and composite elastic materials in Sections 1.9 and 1.10, respectively. In these cases the goal often lies not in minimizing . for one particular value of ., but in determining the . of the minimization problems as .. Concretely, we need to identify, if possible, a . . such that the mini
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https://doi.org/10.1007/978-3-319-77637-8calculus of variations; PDE; partial differential equations; variational problem; minimization problem; E
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978-3-319-77636-1Springer International Publishing AG, part of Springer Nature 2018
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