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Titlebook: Numerical Solutions of Realistic Nonlinear Phenomena; J. A. Tenreiro Machado,Necati Özdemir,Dumitru Bale Book 2020 Springer Nature Switzer

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Fatma Ayaz,İrem Bektaş Günervel consumption with particular reference to return visits to Vietnam. A framework is proposed to explain these relationships, highlighting the role of those cultural factors such as family structure, lifestyle, kinship and marriage in light of the diaspora experience. As was shown in work published
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Zühal Küçükarslan Yüzbaşı,Ebru Cavlak Aslan,Dumitru Baleanu,Mustafa Ince regional science research at the interface of tourism and This book provides new roads, perspectives, and a synthesis for tourism and regional science research. Tourism has become one of the most dynamic sectors in the economy and has exhibited a structurally growing importance over the past decad
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n. In this study we use a set of relevant input and output data in 2015 for a set of 54 cities, towns and villages in Hokkaido Prefecture, so as to evaluate and compare their territorial tourism efficiency by means of Data Envelopment Analysis (DEA). We introduce a double-track efficiency approach,
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An Extrapolated Crank Nicholson VMS-POD Method for Darcy Brinkman Equations,ations. The idea of POD consists of extracting the dominant features of a data set, which are naturally assumed to represent Galerkin finite element solution of a partial differential equation. In this way, POD reduces the complexity of systems. Despite the widespread use of POD, it can perform quit
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A Linear B-Spline Approximation for a Class of Nonlinear Time and Space Fractional Partial Differenactional derivatives along with an upwind finite difference method and the Du Fort–Frankel algorithm for the temporal and spatial discretizations. The proposed techniques include an explicit Adams–Bashforth method to improve their numerical stability and accuracy. Several numerical problems, such as
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Escaping from Current Minimizer by Using an Auxiliary Function Smoothed by Bezier Curves, smoothed via Bezier curves is developed. The global optimization method introduced in this paper to find a global minimizer of the given problem by implementing a local search algorithm for the proposed auxiliary function, generating a transformation of the given problem into a one-dimensional one
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