支票
发表于 2025-3-21 19:00:53
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frenzy
发表于 2025-3-21 23:14:54
0178-5354 utions to the problem of data modelling by linear systems frThis book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured
痛苦一下
发表于 2025-3-22 02:06:14
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arterioles
发表于 2025-3-22 07:37:02
Introduction,rank. The chapter proceeds with review of applications in systems and control, signal processing, computer algebra, chemometrics, psychometrics, machine learning, and computer vision that lead to low-rank approximation problems. Finally, classes of generic solution methods for solving low-rank appro
关节炎
发表于 2025-3-22 10:29:24
From Data to Modelsodel. Important questions considered are: “How to represent a model by equations?” and “How to convert one representation into another one?” When two models fit the data equally well, we prefer the simpler model. For this purpose, we define the notion of model complexity. Two principles—misfit and l
要求比…更好
发表于 2025-3-22 13:34:05
Exact Modeling of ARMAX identification splits into three subproblems: (1) identification of the deterministic part, (2) identification of the AR-part, and (3) identification of the MA-part. Subproblems 1 and 2 are equivalent to deterministic identification problem. The last topic considered in the chapter is comp
NEX
发表于 2025-3-22 17:20:46
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认为
发表于 2025-3-22 22:31:42
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ELUDE
发表于 2025-3-23 02:33:18
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JIBE
发表于 2025-3-23 06:14:16
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