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Titlebook: CAPM® in Depth; Certified Associate Paul Sanghera Book 2019Latest edition Paul Sanghera 2019 CAPM.PMP.Project Management.Risk Management.E

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t an exam-cram book. It is an easy-to-understand guide that is a valuable reference both before and after the exam. .What You’ll Learn .Understand the body of knowledge required to earn the Certified Associate 978-1-4842-3663-5978-1-4842-3664-2
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Fui S. Tsikataarticles and lectures on mathematics education Freudenthal’s book . had been published both in English and (in two volumes) in German in 1973. With respect to content it did not add much to the ideas that Freudenthal had already disseminated in his articles and lectures, but as a sign that he was no
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conditions are usually expressed in terms of directional derivatives or their generalizations (the Dini and Hadamard upper and lower directional derivatives, the Clarke derivative, the Michel-Penot derivative etc.). All these derivatives are positively homogeneous functions of direction. In the con
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Jeffrey S. Youngct. An ideal drug delivery system should protect the drugs from unfriendly environments and deliver them at the specific site, at the desired rate and in appropriate dosage forms [.,.,.]. For example, oral drug delivery systems must be designed in such a way that the drug carrier has good resistance
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Composed Degree-Distance Realizations of Graphsnetwork . conforming to ., or to determine that no such network exists. In this paper we study . realization, where the given instance consists of . or more profile specifications that need to be realized simultaneously. To gain some understanding of the problem, we focus on two classical profile ty
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Mathematizing Basic Addition, Break-Apart-and-Make-Ten (BAMT) are used as examples to illustrate theoretical constructs in the process of mathematization: guided re-invention, horizontal and vertical mathematizations and the emergent modelling. The mathematizing process of addition is interpreted as progressive refinement of di
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Finite Size Scaling,perties of percolation clusters. Usually, we attempt to measure properties of percolation system in the largest possible system we can simulate. Here, we demonstrate that if the system behaves according to simple scaling relations, it is instead much better to systematically vary the system size and
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