轻快来事
发表于 2025-3-25 03:38:59
Aritra Chowdhury,Sandip Bose,Swagatam Dasy little research has been performed. Very simple examples of the traditional economic optimization models can require transfinite computations. The impact of procedural rationality on economics depends on the computational resources available to economic agents.
Thyroxine
发表于 2025-3-25 07:40:06
A. W. Castleman Jr.,R. G. Keeseeestablish convergence results. The algorithm decomposes the large-scale problems into network subproblems of special structure, each of which can then be solved exactly (and simultaneously) in closed form. Numerical results are also presented to illustrate the algorithm’s performance.
相互影响
发表于 2025-3-25 12:31:27
Swarms of Ions and Electrons in Gasesinteractions and their implications for firms’ actions. We focus on the creation of an ordinal measure of anti-takeover defenses and utilize the ordered probit estimation technique to relate the magnitude of this measure to the motives for instituting these defenses. Our estimates are generally supportive of the managerial entrenchment hypothesis.
BRINK
发表于 2025-3-25 18:50:49
0929-130Xhas become a tool for performing as well as anenvironment in which to perform economics and econometrics, takingover where theory bogs down, allowing at least approximate answers toquestions that defy closed mathematical or analytical solutions. Tasksmay now be attempted that were hitherto beyond h
宪法没有
发表于 2025-3-25 20:05:05
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MILK
发表于 2025-3-26 03:23:53
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Lignans
发表于 2025-3-26 06:12:25
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Asymptomatic
发表于 2025-3-26 11:26:05
Wavelets in Macroeconomics: An Introductions appear to be a natural tool for studying macroeconomic time series. This paper first describes wavelets in an intuitive manner, and then explores their use on macroeconomic data. Initial results are encouraging and more research is in order.
Feature
发表于 2025-3-26 13:02:09
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后天习得
发表于 2025-3-26 20:45:48
Lecture Notes in Computer Sciencerameter..The global convergence and local convergence rate of the algorithm are established in Rustem (1992). In this paper, we discuss the numerical convergence properties of the algorithm and related issues such as the convergence of the stepsize to unity and the properties of the penalty parameter.