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標(biāo)題: Titlebook: Optimal Control Models in Finance; A New Computational Ping Chen,Sardar M. N. Islam Book 2005 Springer-Verlag US 2005 algorithms.optimal c [打印本頁(yè)]

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書目名稱Optimal Control Models in Finance影響因子(影響力)




書目名稱Optimal Control Models in Finance影響因子(影響力)學(xué)科排名




書目名稱Optimal Control Models in Finance網(wǎng)絡(luò)公開(kāi)度




書目名稱Optimal Control Models in Finance網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Optimal Control Models in Finance被引頻次




書目名稱Optimal Control Models in Finance被引頻次學(xué)科排名




書目名稱Optimal Control Models in Finance年度引用




書目名稱Optimal Control Models in Finance年度引用學(xué)科排名




書目名稱Optimal Control Models in Finance讀者反饋




書目名稱Optimal Control Models in Finance讀者反饋學(xué)科排名





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Book 2005. The demonstrated extensions in this book in the computation and modeling of optimal control in finance have shown the need and potential for further areas of study in financial modeling. Potentials are in both the mathematical structure and computational aspects of dynamic optimization. There are
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https://doi.org/10.1007/b101888algorithms; optimal control; optimization
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Optimal Control Models in Finance978-0-387-23570-7Series ISSN 1384-6485
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smaller scale home-based ecosystems targeted to individuals and families. While the choice of functionality in large ecosystems is the responsibility of respective authorities, in home setups smartness implies individualization of automations. In this context, the notion of end-user programming gai
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smaller scale home-based ecosystems targeted to individuals and families. While the choice of functionality in large ecosystems is the responsibility of respective authorities, in home setups smartness implies individualization of automations. In this context, the notion of end-user programming gai
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ces. Water-themed investment strategies consist of highly concentrated (30–40 stocks) portfolios of companies in the water purification and/or water recycling equipment manufacturing industry, as well as some water utilities none of which focus on water security. “Water security is the reliable avai
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ail transactions. We compared traditional term frequency models with the Convolutions sentence classification models. Our experiments show that even if invoice text descriptions are short and there are a lot of errors and typos, simple term frequency models can achieve high baseline results on produ
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we implemented a virtual testing environment where trials are executed in a protected runtime, not confined to a particular location, disengaged from the physical ecosystem. All our tools run locally in a typical mobile machine and may operate in standalone mode without connecting to real smart devi
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