Modeling and Optimization of the Lifetime of Technologies:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1996
|
| Schriftenreihe: | Applied Optimization
4 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renovation 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 selforganization 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, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in contrary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change |
| Beschreibung: | 1 Online-Ressource (XXXVI, 252 p) |
| ISBN: | 9781461334460 9781461334484 |
| ISSN: | 1384-6485 |
| DOI: | 10.1007/978-1-4613-3446-0 |
Internformat
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| 500 | |a Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renovation 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 selforganization 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, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in contrary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change | ||
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Datensatz im Suchindex
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| id | DE-604.BV042420639 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:07Z |
| institution | BVB |
| isbn | 9781461334460 9781461334484 |
| issn | 1384-6485 |
| language | English |
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| series2 | Applied Optimization |
| spelling | Chritonenko, Natalija V. Verfasser (DE-588)135780160 aut Modeling and Optimization of the Lifetime of Technologies by Natali Hritonenko, Yuri Yatsenko Boston, MA Springer US 1996 1 Online-Ressource (XXXVI, 252 p) txt rdacontent c rdamedia cr rdacarrier Applied Optimization 4 1384-6485 Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renovation 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 selforganization 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, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in contrary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change Mathematics Integral equations Mathematical optimization Economics Mathematical Modeling and Industrial Mathematics Economic Theory Calculus of Variations and Optimal Control; Optimization Integral Equations Mathematik Wirtschaft Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Technologie (DE-588)4059276-5 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Lebensdauer (DE-588)4034837-4 gnd rswk-swf Technologie (DE-588)4059276-5 s Lebensdauer (DE-588)4034837-4 s Ökonometrisches Modell (DE-588)4043212-9 s Optimierung (DE-588)4043664-0 s 1\p DE-604 Jacenko, Jurij P. Sonstige (DE-588)135779162 oth Applied Optimization 4 (DE-604)BV010841718 4 https://doi.org/10.1007/978-1-4613-3446-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Chritonenko, Natalija V. Modeling and Optimization of the Lifetime of Technologies Applied Optimization Mathematics Integral equations Mathematical optimization Economics Mathematical Modeling and Industrial Mathematics Economic Theory Calculus of Variations and Optimal Control; Optimization Integral Equations Mathematik Wirtschaft Ökonometrisches Modell (DE-588)4043212-9 gnd Technologie (DE-588)4059276-5 gnd Optimierung (DE-588)4043664-0 gnd Lebensdauer (DE-588)4034837-4 gnd |
| subject_GND | (DE-588)4043212-9 (DE-588)4059276-5 (DE-588)4043664-0 (DE-588)4034837-4 |
| title | Modeling and Optimization of the Lifetime of Technologies |
| title_auth | Modeling and Optimization of the Lifetime of Technologies |
| title_exact_search | Modeling and Optimization of the Lifetime of Technologies |
| title_full | Modeling and Optimization of the Lifetime of Technologies by Natali Hritonenko, Yuri Yatsenko |
| title_fullStr | Modeling and Optimization of the Lifetime of Technologies by Natali Hritonenko, Yuri Yatsenko |
| title_full_unstemmed | Modeling and Optimization of the Lifetime of Technologies by Natali Hritonenko, Yuri Yatsenko |
| title_short | Modeling and Optimization of the Lifetime of Technologies |
| title_sort | modeling and optimization of the lifetime of technologies |
| topic | Mathematics Integral equations Mathematical optimization Economics Mathematical Modeling and Industrial Mathematics Economic Theory Calculus of Variations and Optimal Control; Optimization Integral Equations Mathematik Wirtschaft Ökonometrisches Modell (DE-588)4043212-9 gnd Technologie (DE-588)4059276-5 gnd Optimierung (DE-588)4043664-0 gnd Lebensdauer (DE-588)4034837-4 gnd |
| topic_facet | Mathematics Integral equations Mathematical optimization Economics Mathematical Modeling and Industrial Mathematics Economic Theory Calculus of Variations and Optimal Control; Optimization Integral Equations Mathematik Wirtschaft Ökonometrisches Modell Technologie Optimierung Lebensdauer |
| url | https://doi.org/10.1007/978-1-4613-3446-0 |
| volume_link | (DE-604)BV010841718 |
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