positive definite symmetric matrix

基本解釋

Some equivalent representations of complex positive semi definite matrices are given by using equivalent conditions of positive semi definite of real symmetric matrix.
利用實對稱矩陣的半正定之等價條件給出了複正半定矩陣的幾個等價條件。
Based on the eigensubspace estimation using discrete recurrent neural networks, we propose algorithms to solve the problem of eigensubspace estimation for positive definite symmetric matrix.
基於運用廻複式離散神經(jīng)網(wǎng)絡進行特征子空間估值的理論，提出了解決正定對稱矩陣的特征子空間估值問題的算法。
The method ICCG. is one of the best iterative method for solving the system of linear algebraic equations, but it can only be applied to the symmetric and positive definite coefficient matrix.
ICCG方法是解線性代數(shù)方程組較爲理想的方法，但它僅適用於具有正定對稱的系數(shù)陣。