CLS:约束最小二乘法
“约束最小二乘法”(Constrained Least Squares)在学术和工程领域应用广泛,尤其在数学建模和最优化问题中具有重要意义。为了书写和交流的便捷,该术语常被缩写为CLS。该方法通过引入约束条件来优化参数估计,确保结果既满足最小二乘准则又符合实际限制,是解决复杂系统问题的有效工具。
Constrained Least Squares具体释义
Constrained Least Squares的英文发音
例句
- An Iterative Method for the Constrained Least Squares(CLS) Solution of the Matrix Equations
- 矩阵方程组约束最小二乘解的迭代解法
- A Three-phase Transformer Leakage Inductances Parameter Identification Algorithm Based on the Constrained Least Squares(CLS) Method
- 基于约束最小二乘法(CLS)的变压器三相漏感辨识算法
- Pan-sharpening Algorithm Based on Constrained Least Squares(CLS) of Optical Remote Sensing Images
- 基于约束最小二乘的光学遥感图像融合
- In physics, statistics, mathematic programming, cybernetics and economics, we often met constrained least squares problem.
- 同样,在物理、统计、数学规划、控制论与经济等领域中,经常会遇到约束条件的最小二乘问题。
- Weighted generalized inverses, weighted least squares and equality constrained least squares problems
- 加权广义逆、加权最小二乘和约束最小二乘问题
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