Titlebook: Inverse Analyses with Model Reduction; Proper Orthogonal De Vladimir Buljak Book 2012 Springer-Verlag GmbH Berlin Heidelberg 2012 Batch lea

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Vladimir Buljak issues, and energy security risks. This paper employs energy modelling scenarios to seek plausible policy options for ASEAN to achieve more emissions reductions as well as energy savings, and to assess the extent to which the composition of the energy mix will be changed under various energy policy

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Optimization Algorithms,, [1–3]). As the main topic of this book are the inverse analyses in structural engineering context, the goal is to present, to a reasonable extent, mathematical theory behind most commonly used optimization algorithms, so that they can be understood and easily implemented into a practical inverse analysis procedure.

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Proper Orthogonal Decomposition and Radial Basis Functions for Fast Simulations,g the dominant components of high-dimensional processes with, sometimes surprisingly small number of “modes”. This chapter will present an algorithm that combines POD with Radial Basis Functions (RBF) used for the interpolation of the data with previously reduced dimensionality by the POD.

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1860-482X familiar with discussed topics.Includes supplementary materIn this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses. It puts together topics coming from mathematical programm