BID 发表于 2025-3-21 16:08:27

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不成比例 发表于 2025-3-21 20:34:14

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星星 发表于 2025-3-22 02:06:48

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epicardium 发表于 2025-3-22 05:54:56

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品牌 发表于 2025-3-22 12:34:01

Jordan Canonical Forms,s true in computing the power ., in solving a linear difference equation . = . or a linear differential equation .′(.) = .(.). In this chapter, we discuss how to solve the same problems for a non-diagonalizable matrix A by introducing the Jordan canonical form of a square matrix.

使成整体 发表于 2025-3-22 15:55:02

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宣传 发表于 2025-3-22 18:57:17

https://doi.org/10.1007/978-0-8176-8194-4Eigenvalue; Eigenvector; Matrix; Transformation; algebra; computer; computer science; linear algebra; matrix

修改 发表于 2025-3-22 21:26:40

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CLAN 发表于 2025-3-23 05:22:06

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侵害 发表于 2025-3-23 08:01:40

Inner Product Spaces,To study a geometry ofa vector space, we go back to the case ofthe 3-space ℝ..
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查看完整版本: Titlebook: Linear Algebra; Jin Ho Kwak,Sungpyo Hong Textbook 2004Latest edition Springer Science+Business Media New York 2004 Eigenvalue.Eigenvector.