| 書目名稱 | Modeling and Optimization of the Lifetime of Technologies | | 編輯 | Natali Hritonenko,Yuri Yatsenko | | 視頻video | http://file.papertrans.cn/637/636146/636146.mp4 | | 叢書名稱 | Applied Optimization | | 圖書封面 |  | | 描述 | Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renova- tion of technologies in industrial environments undergoing technical change is clearly one of the key aspects of economic development. The mathematical modeling of evolutionary economics under technical change (TC) has been rigorously considered by many authors during last decades. There is a wide variety of economic approaches and models describing different aspects of technical change. Among these are the models of embodied technical progress [19], [35], [70], [129], endogenous growth models [94], [102], the models of technological innovations [31], [32], [41], and others. The perspective self- organization evolutionary approach is developed in [20], [38], [122], [123], [124], [126], which unites the aspects of diffusion of new technologies, technological and behavioral diversity of firms, learning mechanisms, age-dependent effects, and other important features of real-life economics. On the whole, an interest in evolutionary economics has brought considerable progress in the description and conceptualization of the sources, chara | | 出版日期 | Book 19961st edition | | 關鍵詞 | algorithms; calculus; economic dynamics; economic system; economics; evolutionary economics; integral equa | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-3446-0 | | isbn_softcover | 978-1-4613-3448-4 | | isbn_ebook | 978-1-4613-3446-0Series ISSN 1384-6485 | | issn_series | 1384-6485 | | copyright | Kluwer Academic Publishers 1996 |
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