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Titlebook: Optimization in Banach Spaces; Alexander J. Zaslavski Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license t

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https://doi.org/10.1007/978-3-031-12644-4Banach space; constrained minimization problem; Hilbert space; approximation theory; nonconvex optimizat
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Convex Optimization,al is to obtain a good approximate solution of the problem in the presence of computational errors. It is shown that the algorithm generates a good approximate solution, if the sequence of computational errors is bounded from above by a small constant. We obtain a number of convergence results under
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Nonconvex Optimization,ve functions. Our goal is to obtain a good approximate solution of the problem in the presence of computational errors. It is shown that the algorithm generates a good approximate solution, if the sequence of computational errors is bounded from above by a small constant. We obtain a number of conve
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social forces model with psychological and geometric rules affecting several parameters that will allow for a wide variety of emergent and high-density behaviors. Above the motion level, we need a wayfinding algorithm that will perform navigation in large complex virtual buildings, using communicat
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