symmetric positive matrix

基本解释

This paper is concerned with the problem of real symmetric positive semidefinite matrix pencil under spectral restriction.
本文討論譜約束下實對稱半正定矩陣束的最佳逼近問題，指出一般算法。
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網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陣。