Titlebook: Water as an Inescapable Risk; Current Global Water Anja du Plessis Book 2019 Springer Nature Switzerland AG 2019 Water-related Risks.Water

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Anja du Plessiscal and policy applications are several. This book attempts to analyze some of the impor­ tant applied aspects of this theory and its recent developments. The stochastic environment is considered here in specific form, e.g., (a) linear programs (LP) with parameters subject to a probabilistic mechani

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Anja du Plessisgn. To a certain extent the study of the subject had been piecemeal, different criteria of optimality having been studied separately. Also to a certain extent the topic was regarded as being largely of theoretical interest and as having little value for the practising statistician. However during th

Autobiography

spon­ sored by the Air Force Office of Scientific Research through the Air Force Center for Optimal Design and Control (CODAC) at Virginia Tech. The workshop was a gathering of engineers and mathematicians actively in­ volved in innovative research in control and optimization, with emphasis placed o

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Anja du Plessiseoclassical growth model which distinguishes overlapping generations within the population. The basic neoclassical growth model is extended to include various types of technical change, as well as investment in human capital or education. The research described in this book connects the analytical t

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古老

Anja du Plessisdation of the theory of optimal filtering of stationary processes is the idea of the factorization of the spectral density of an observable homogeneous field which implies the representation of this density in the form of the product of the functions possessing special analytic properties determined

Grating

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Anja du Plessis structures. It, thus, deals with an intermediate hierarchical level that bridges aggregate production planning and detailed production scheduling characterized by complex product structures. Specifically, this chapter focuses on a typical problem arising in aggregate production planning and master

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Anja du Plessisysis and in implementation because of their simplicity. They do not, however, adapt to fluctuations of workload. Under a situation where the system workload is statistically balanced, some computers may be heavily loaded at a given instant (hence suffering from performance degradation), while others