This paper aims at discussing the value range of combination forecasting error square sum with matrix theory.
应用矩阵理论，对组合预测误差平方和的取值范围进行了研究。
Fitting a curve for an experimental energy spectrum of plasma particles with the least square method, a square error sum between the fitted curve and experimental spectrum data is usually minimized.
用最小二乘法拟合等离子体粒子能谱实验数据时，通常使拟合函数与实验能谱数据之间的误差平方和极小化。
Aiming the square sum of error (SSE), we construct the algorithm to iterate and select an optimal parameter for optimizing the new models, which ADAPTS the model to time series more.
又以预测误差平方和SSE最小为目标，构造了优选并自动生成最佳平滑参数使平滑模型得以优化的最速下降算法，增强了指数平滑模型对时间序列的适应能力。
In the person identification part, we construct databases of biometrical features around the eye area of clients and, for authentication, Schwartz inequality and the sum square error (SSE) are used.
在身份识别这一部分，首先构建客户眼睛周边区域的生物特征数据库用于进行身份验证。在身份验证阶段使用了施瓦茨不等式算法和误差平方和（SSE）算法。
In the person identification part, we construct databases of biometrical features around the eye area of clients and, for authentication, Schwartz inequality and the sum square error (SSE) are used.
在身份识别这一部分，首先构建客户眼睛周边区域的生物特征数据库用于进行身份验证。在身份验证阶段使用了施瓦茨不等式算法和误差平方和（SSE）算法。
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