applied mathematics
本征正交分解
Proper Orthogonal DecompositionPOD is a mathematical technique used to reduce the dimensionality of large datasets by projecting them onto a lower-dimensional subspace that captures the most significant features. / 本征正交分解（POD）是一种数学技术，用于通过将大型数据集投影到捕捉最显著特征的低维子空间来降低数据的维度。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-09 17:06:32
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Main parameters and performance indicators
data matrix: The input dataset to be decomposedsingular value decomposition: The underlying mathematical method used to compute the POD modes
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Related literature
ranked by community starsNSPOD: Accelerating the convergence of Krylov-based iterative linear solvers via approximated PODsOpen source
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1 recordsRecord title: Proper Orthogonal Decomposition.
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