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[English](README.md) | 中文(简体)
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# The-Art-of-Linear-Algebra
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Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
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图释 Gilbert Strang 的 “给每个人的线性代数”
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> 中译说明:
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>
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> 中文版尚在翻译中, 欢迎issue提出问题或pr共建, 万分感激!
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>
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> 英文与日文原版仓库为[kenjihiranabe/The-Art-of-Linear-Algebra](https://github.com/kenjihiranabe/The-Art-of-Linear-Algebra), 中文版在仓库[kf-liu/The-Art-of-Linear-Algebra-zh-CN](https://github.com/kf-liu/The-Art-of-Linear-Algebra-zh-CN)中 (也会定期提pr到英文与日文原版的仓库), 欢迎`✨star`中文版仓库以跟进最新的中文译版.
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全文输出文件:
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中文版本 "[The-Art-of-Linear-Algebra-zh-CN.pdf](The-Art-of-Linear-Algebra-zh-CN.pdf)" 与 中文最新版"[kf-liu/The-Art-of-Linear-Algebra-zh-CN/The-Art-of-Linear-Algebra-zh-CN.pdf](https://github.com/kf-liu/The-Art-of-Linear-Algebra-zh-CN/blob/main/The-Art-of-Linear-Algebra-zh-CN.pdf)"
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英文版本 "[The-Art-of-Linear-Algebra.pdf](The-Art-of-Linear-Algebra.pdf)"
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日文版本 "[The-Art-of-Linear-Algebra-j.pdf](The-Art-of-Linear-Algebra-j.pdf)"
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## 摘要
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我尝试为 Gilbert Strang 在书籍 “Linear Algebra for Everyone” 中介绍的矩阵的重要概念进行可视化图释, 以促进从矩阵分解的角度对向量、矩阵计算和算法的理解.
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2022-11-06 18:44:30 +08:00
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它们包括矩阵分解 (Column-Row, CR)、高斯消去法 (Gaussian Elimination, LU)、格拉姆-施密特正交化 (Gram-Schmidt Orthogonalization, QR)、特征值和对角化 (Eigenvalues and Diagonalization, QΛQ')、和奇异值分解(Singular Value Decomposition, UΣV').
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2022-11-08 22:49:37 +08:00
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也包括其他图形.
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## 特征值图
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2022-11-08 22:49:37 +08:00
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2023-11-30 16:00:17 +08:00
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- 可以在 PDF "[MapofEigenvalues](MapofEigenvalues.pdf)"中查看
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## 矩阵世界
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2022-11-08 22:49:37 +08:00
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- 可以在 PDF "[MatrixWorld](MatrixWorld.pdf)"中查看
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## 许可证
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2022-11-06 18:44:30 +08:00
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英文与日文版本许可证见[原文](https://github.com/kenjihiranabe/The-Art-of-Linear-Algebra), 译者行文时, 原文版本使用 CC0-1.0 许可证.
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2022-11-06 18:44:30 +08:00
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中文版本使用<a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc/4.0/80x15.png" /></a>许可证, 请勿商用.
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