解向量是线性方程组的一个解。因为一组解在空间几何里可以表示为一个向量，所以叫做解向量。解向量在矩阵和线性方程组中是常用概念。如果n元齐次线性方程组Ax=0的系数矩阵的秩R(A)=r
采用随机键，将连续的粒子位置向量转化为离散的解向量，并通过提出相对最短距离法来评价解集的优劣。
The random key was adopted to change from continuous particle position vectors to discrete solution vectors. And the method of relatively minimum distance was proposed to evaluate the Pareto muster.
是一个矩阵乘以一些未知的向量，等于一些已知的向量，怎么解？
X It's a matrix times some unknown vector, x, B equals some known vector, B How do we solve that?
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。
Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.
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