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Titlebook: Microeconomic Theory and Computation; Applying the Maxima Michael R. Hammock,J. Wilson Mixon Book 2013 Springer Science+Business Media New

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發(fā)表于 2025-3-21 19:01:53 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Microeconomic Theory and Computation
副標題Applying the Maxima
編輯Michael R. Hammock,J. Wilson Mixon
視頻videohttp://file.papertrans.cn/634/633189/633189.mp4
概述First comprehensive work to integrate the use of an “open-source” computer algebra system with microeconomic analysis.Open-source” software continues to grow in popularity within the academic communit
圖書封面Titlebook: Microeconomic Theory and Computation; Applying the Maxima  Michael R. Hammock,J. Wilson Mixon Book 2013 Springer Science+Business Media New
描述.Economists can use computer algebra systems to manipulate symbolic models, derive numerical computations, and analyze empirical relationships among variables. Maxima is an open-source multi-platform computer algebra system that rivals proprietary software. Maxima’s symbolic and computational capabilities enable economists and financial analysts to develop a deeper understanding of models by allowing them to explore the implications of differences in parameter values, providing numerical solutions to problems that would be otherwise intractable, and by providing graphical representations that can guide analysis. This book provides a step-by-step tutorial for using this program to examine the economic relationships that form the core of microeconomics in a way that complements traditional modeling techniques. Readers learn how to phrase the relevant analysis and how symbolic expressions, numerical computations, and graphical representations can be used to learn from microeconomic models. In particular, comparative statics analysis is facilitated. Little has been published on Maxima and its applications in economics and finance, and this volume will appeal to advanced undergraduates,
出版日期Book 2013
關(guān)鍵詞Computational Economics; Economic Models; Mathematical Analysis; Maxima; Microeconomics
版次1
doihttps://doi.org/10.1007/978-1-4614-9417-1
isbn_softcover978-1-4939-4311-1
isbn_ebook978-1-4614-9417-1
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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發(fā)表于 2025-3-21 20:47:32 | 只看該作者
Michael R. Hammock,J. Wilson Mixonel, but not SparCC or glasso, correctly resolves a direct interaction structure among three community members that associate with . roots. We conclude that our method provides a structured, accurate, and distributionally reasonable way of modeling correlated count based random variables and capturin
板凳
發(fā)表于 2025-3-22 01:10:32 | 只看該作者
Michael R. Hammock,J. Wilson Mixonequences with an optimal posterior matching score for each given MS/MS spectrum. Similar to the . peptide sequencing, the dynamic programming algorithm allows an efficient searching in the entire peptide sequence space. On an LC-MS/MS dataset, we demonstrated the performance of our algorithm in dete
地板
發(fā)表于 2025-3-22 07:05:33 | 只看該作者
Michael R. Hammock,J. Wilson Mixon metric is first estimated from DNA sequences, which leads to a key difficulty: distantly related sequences produce statistically unreliable estimates. This is problematic for Neighbor-Net as it is based on the popular tree reconstruction method Neighbor-Joining, whose sensitivity to distance estima
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發(fā)表于 2025-3-22 10:09:37 | 只看該作者
Michael R. Hammock,J. Wilson Mixonsent an efficient algorithm to estimate such a model in the high dimensional scenario. Results are reported on synthetic data, where NP-MuScL outperforms baseline algorithms significantly, even in the presence of noisy data sources. Experiments are also run on two real-world scenarios: two yeast mic
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發(fā)表于 2025-3-22 16:45:08 | 只看該作者
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發(fā)表于 2025-3-22 20:59:05 | 只看該作者
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發(fā)表于 2025-3-22 23:38:56 | 只看該作者
Michael R. Hammock,J. Wilson Mixontworks, models the problem as a graph optimization problem, and presents fast algorithms for this problem. In order to capture the underlying biological processes correctly, we base our framework on duplication/divergence models that focus on understanding the evolution of PPI networks. Experimental
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發(fā)表于 2025-3-23 03:06:36 | 只看該作者
Michael R. Hammock,J. Wilson Mixonimentally that optimal co-linear chaining cost under the proposed cost function can be computed orders of magnitude faster than edit distance, and achieves correlation coefficient above 0.9 with edit distance for closely as well as distantly related sequences.
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發(fā)表于 2025-3-23 07:08:39 | 只看該作者
Michael R. Hammock,J. Wilson Mixon network propagation and altered subnetwork approaches. We derive a subnetwork family which we call the . that approximates the subnetworks ranked highly by network propagation. We introduce NetMix2, a principled algorithm for identifying altered subnetworks from a wide range of subnetwork families,
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