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Titlebook: Harmonic Analysis and Boundary Value Problems in the Complex Domain; Mkhitar M. Djrbashian Book 1993 Springer Basel AG 1993 Boundary value

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发表于 2025-3-21 16:49:49 | 显示全部楼层 |阅读模式
书目名称Harmonic Analysis and Boundary Value Problems in the Complex Domain
编辑Mkhitar M. Djrbashian
视频video
丛书名称Operator Theory: Advances and Applications
图书封面Titlebook: Harmonic Analysis and Boundary Value Problems in the Complex Domain;  Mkhitar M. Djrbashian Book 1993 Springer Basel AG 1993 Boundary value
描述As is well known, the first decades of this century were a period of elaboration of new methods in complex analysis. This elaboration had, in particular, one char­ acteristic feature, consisting in the interfusion of some concepts and methods of harmonic and complex analyses. That interfusion turned out to have great advan­ tages and gave rise to a vast number of significant results, of which we want to mention especially the classical results on the theory of Fourier series in L2 ( -7r, 7r) and their continual analog - Plancherel‘s theorem on the Fourier transform in L2 ( -00, +00). We want to note also two important Wiener and Paley theorems on parametric integral representations of a subclass of entire functions of expo­ nential type in the Hardy space H2 over a half-plane. Being under the strong influence of these results, the author began in the fifties a series of investigations in the theory of integral representations of analytic and entire functions as well as in the theory of harmonic analysis in the com­ plex domain. These investigations were based on the remarkable properties of the asymptotics of the entire function (p, J1 > 0), which was introduced into mathematical a
出版日期Book 1993
关键词Boundary value problem; analytic function; banach spaces; boundary element method; calculus; differential
版次1
doihttps://doi.org/10.1007/978-3-0348-8549-2
isbn_softcover978-3-0348-9674-0
isbn_ebook978-3-0348-8549-2Series ISSN 0255-0156 Series E-ISSN 2296-4878
issn_series 0255-0156
copyrightSpringer Basel AG 1993
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发表于 2025-3-21 22:34:42 | 显示全部楼层
Mkhitar M. Djrbashiangents with learning routines is to predict unique outcomes when a model possesses multiple equilibria. Being less than perfectly rational or omniscient does not mean that agents are irrational. Instead, they act according to the knowledge and skills they are equipped with. Learning agents then have
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Mkhitar M. Djrbashianies which are improved over time. The departures from the neoclassical framework are only minimal. Agents derive their optimal demands by maximizing a utility function and, therefore, behave quite rationally in the standard economic sense. Only because they are assumed to be heterogeneous with respe
发表于 2025-3-22 13:01:23 | 显示全部楼层
Mkhitar M. Djrbashian agents and human players competed against each other in a high-tech industrial model. Firm agents (both AI agents and human players) determined the levels of R&D investment and production investment..The efficiencies of AI agents were compared with those of their human counterparts and the varying
发表于 2025-3-22 19:29:30 | 显示全部楼层
Mkhitar M. Djrbashianent” to one with a mixture of both human and machine-learning agents. This enables us to enhance collaborative learning with business simulators..From other experiments about much more complex cases, we conclude that the toolkit is effective for game designers to develop and tune their own simulator
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Mkhitar M. Djrbashian different angles and viewpoints, and overcoming the difficulties of GS for what-if analysis. Through ABM implementation of the game, key points on how humans learn could be explored. Implementation of an agent’s learning process is based on the capability to correctly predict who the winner of the
发表于 2025-3-23 09:23:19 | 显示全部楼层
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