Titlebook: Dynamical System and Chaos; An Introduction with Rui Dilão Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive l

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2198-7882 f function systems.Provides examples of Mathematica programm.This textbook introduces the language and the techniques of the theory of dynamical systems of finite dimension for an audience of physicists, engineers, and mathematicians at the beginning of graduation. Author addresses geometric, measur

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Brigitte Falkenburg,Margaret Morrison A and Anosov dynamical systems, and the Poincaré recurrence theorem. We build the class of Bernouilli dynamical systems. They have probabilistic properties, are not defined by differential equations, and the phase space does not have a differentiable structure. These topics often appear in modern dynamical systems and complexity theories.

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Textbook 2023ers, and mathematicians at the beginning of graduation. Author addresses geometric, measure, and computational aspects of the theory of dynamical systems. Some freedom is used in the more formal aspects, using only proofs when there is an algorithmic advantage or because a result is simple and power

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隐语

Special Topics in Dynamical Systems A and Anosov dynamical systems, and the Poincaré recurrence theorem. We build the class of Bernouilli dynamical systems. They have probabilistic properties, are not defined by differential equations, and the phase space does not have a differentiable structure. These topics often appear in modern dynamical systems and complexity theories.

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Alexandra Lindner,Michael Stadtelmannrential and difference equations in the neighbourhood of a fixed point. We describe the important technique of Poincaré maps. We introduce basic concepts of numerical analysis and the most important numerical methods to calculate the solutions of differential equations.

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Approximation Methods for Influence Maximization in Temporal Networks,ance of MC greedy was better than the three methods, it was computationally expensive and intractable for large-scale networks. The computational time of our proposed methods was more than 10 times faster than MC greedy. When compared with Osawa, the performances of the three methods were better for most of the cases.

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Eduard Lysenkov,Iryna Melnyk,Leonid Bulavin,Valeriy Klepko,Nikolai Lebovkared in large quantities, or those for which sugarcane has a particular advantage in terms of precursor metabolite pools. This chapter summarises progress, potentials and limitations in metabolic engineering of sugarcane for enhanced yield of sucrose, higher value sugars and sugar derivatives, sucros