Zigurds Krishans, Anna Mutule, Yuri Merkuryev, Irina's Dynamic Management of Sustainable Development: Methods for PDF

By Zigurds Krishans, Anna Mutule, Yuri Merkuryev, Irina Oleinikova

ISBN-10: 085729055X

ISBN-13: 9780857290557

Dynamic administration of structures improvement is a precondition for the belief of sustainable approach improvement. This process allows using platforms concept tools that think about the interplay of selections remodeled time and house. A attribute characteristic of this sort of approach is that the method of subtle item improvement over the years is tested for optimum selection choice. This calls for the applying of modelling tools that characterize houses of the constructing gadgets, excessive pace calculation tools for the estimation of technical and financial features, in addition to potent optimization equipment. Dynamic administration of Sustainable Development provides a concise precis of the authors’ study within the quarter of dynamic tools research of technical structures improvement. besides systematic representation of mathematical tools, enormous awareness is interested in sensible cognizance and purposes. Dynamic administration of Sustainable Development may be worthy for scientists all in favour of the mathematical modelling of enormous technical structures improvement and for engineers operating within the sector of enormous technical structures planning.

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Extra resources for Dynamic Management of Sustainable Development: Methods for Large Technical Systems

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13 shows that optimal development may not occur through D-state e(t - 1) [ X (t - 1, x = 1), for which the following condition is valid f ðt À 1; eðt À 1ÞÞ þ F ðeðtÞÞ\f ðt À 1; eðt À 1; x ¼ 1ÞÞ þ F ðeðtÞÞ: ð2:14Þ This condition can be verified even without calculating objective function component F(e(t)) of step t for D-states e(t). 14, we obtain D-states set X(t - 1, 22 2 Mathematical Basics of LTS Sustainable Development Dynamic Management x = 1), in which optimal development can be determined only from D-state e(t - 1, x = 1).

25, functionals f [t, E(t, x)] must be calculated for all x values x = 1,2,…,x(max). Among D-states e(t, x) [ X (t) there is also an optimal D-plan from t = 1 up to t = T (in estimation period) D-state e(t, x) in D-step t. LTS optimization task solution is D-state E(T, x = 1) with summary reduced system quality criterion f [T, E(t, x = 1)]. Comparing both considered quality optimization algorithms; the following conclusions can be drawn: 1. The application of recursive Eq. 9 makes algorithms execution more simple.

LTS optimization task solution is D-state E(T, x = 1) with summary reduced system quality criterion f [T, E(t, x = 1)]. Comparing both considered quality optimization algorithms; the following conclusions can be drawn: 1. The application of recursive Eq. 9 makes algorithms execution more simple. Algorithm drawback is the demand for all potential D-states E(t - 1) and E(t) to keep calculation interim results and to calculate system quality criteria. D-states number in set E(t) is VE ¼ 2n ; ð2:26Þ where n—D-actions number.

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Dynamic Management of Sustainable Development: Methods for Large Technical Systems by Zigurds Krishans, Anna Mutule, Yuri Merkuryev, Irina Oleinikova


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