在协同模式识别中，学习可以归结为求原型向量和伴随向量。
Learning in synergetic pattern recognition is a process by which prototype vectors and adjoint vectors are calculated.
得到的最优控制律由解析的线性前馈-反馈项和伴随向量序列极限形式的非线性补偿项组成。
The obtained optimal control law consists of analytical linear feedforward and feedback terms and a nonlinear compensation term which is the limit of the adjoint vector sequence.
伴随每个递归步骤，会形成带有一个额外置换群的向量积。
With each recursive step, cross products with one additional Permutation Group are formed.
本文剖析了线性代数中伴随矩阵、行向量与列向量的乘积、正交矩阵几个较难掌握的概念，由此引出这些概念的一些基本特征和性质。
This article analyzes a few profound concepts, such as companion matrix, line vector, column rector, orthogonal matrix, and recommend many qualities, which are difficult to grasp for many students.
给出了非奇异矩阵a的伴随的广义特征向量的表达式。
An expression of the generalized eigenvector of adjoint matrices for nonsingular matrix a is derived.
企司实业给出了非奇异矩阵a的伴随的广义特征向量的表达式。
An expression of the generalized eigenvector of adjoint matrices for nonsingular matrix a is derived...
企司实业给出了非奇异矩阵a的伴随的广义特征向量的表达式。
An expression of the generalized eigenvector of adjoint matrices for nonsingular matrix a is derived...
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