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曲线拟合的最小二乘法
The Method of Least Squares Curve Fitting
【摘要】 在实际问题中测得的实验数据有时需寻求较简单函数逼近来解 ,曲线拟合的最小二乘法在解决这类问题的数据处理和误差分析中应用非常广泛 ,可提高数据处理的效率和精确度 ,已成为这类问题数据处理的重要的比较可靠的技术手段。
【Abstract】 The method of least squares curve fitting is used proverbially for the test data processing, etc. It is inequitable to process physical parameters by some usual methods of curve fitting. Those methods are performed only by minimizing the fitting error of one physical parameter, but do not take other parameters into account. The method of least squares curve fitting processes each physical parameter equally. The simulation also proves that this method of least squares curve fitting method is right and effective.
【关键词】 曲线拟合;
超定方程组;
最小二乘解;
算法设计;
【Key words】 curve fitting; normal equations; least square method; algorithm design;
【Key words】 curve fitting; normal equations; least square method; algorithm design;
- 【文献出处】 新疆职业大学学报 ,Journal of Xinjiang Vocational University , 编辑部邮箱 ,2004年02期
- 【分类号】O241.5
- 【被引频次】126
- 【下载频次】3703