...e linear least squares problems on distributed-memory multiprocessors-在分布式内存多处理器并行多波稀疏线性最小二乘问题的解决方案，-知来论文发表中心 rallel algorithms, sparse matrix, orthogonal factorization, multifrontal method, least squar...
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Least-squares problems 最小二乘问题
linear least squares problems 线性最小二乘问题
nonlinear least-squares problems 非线性最小二乘问题
nonlinear least squares problems 非线性最小二乘问题
generalized least squares problems 广义最小二乘问题
constrained least-squares problems 约束最小二乘问题
non-linear least squares problems 最小二乘
Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.
Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题，另外还有其它功能。
Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
对于一般的无约束最优化问题及其特殊情况非线性最小二乘问题而言，信赖域方法是一种有效的方法。
The LZ algorithm presented in this paper makes possible the solution of the multiple regression analysis problems in management prediction without turning to the commonly used method of least squares.
本文提出的LZ算法，使管理预测中所涉及的多项目回归分析问题，无需采用最小二乘法就能得到解决。
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