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hessian matrix相关的网络例句

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Bond and angle types are assigned based on (1) atom types,(2) bond lengths or bond angles in the QM optimised geometry and (3) matching force constants derived from the Hessian matrix.

键和键角类型标记,依据(1)原子类型(2)量子优化几何学中的键长或者键角(3)源于 Hessian 矩阵的合适的力常数。

Experimental results show the recognition rate of the method is 95%for a known expresser and 72% for a novel expresser. Aiming at the shortcomings of optical flow technique,two improved optical flow algorithms are presented.One way is to introduce forward and backword constraint eqution and Hessian matrix of optical flow equation is computed.The well- posedness of each point of local neighbourhood is examined and the weight of Lucas-Kanade's method is defined as the reciprocal of the conditioning number of its Hessian Matrix.

3针对传统光流法的缺点,分别提出了两种不同的改进方法:其一为引入前向-后向光流方程,计算其Hessian矩阵,把Hessian矩阵条件数的倒数作为Lucas-Kanade光流法的加权阵,可有效消除局部邻域中不可靠约束点,同时提高基本约束方程解的稳定性;其二为针对传统光流法只适用于刚体运动的特点,在扩展约束光流方程的基础上引入了div-curl样条函数作为扩展光流约束方程的附加约束条件,给出了一阶和二阶div-curl样条约束下光流的数值解。

Jacobian, Hessian Matrix Properties, Sensitivity Analysis w.r.t Design Variables, Fixed Parameters and Constraints, Normalization, Finite Difference Approximation, Automatic Differentiation, ANOVA, Adjoint Methods, Examples

Jacobian, Hessian矩阵属性,灵敏度分析w.r.t设计变量,固定参数和约束,归一化,有限差分逼近算法,自动差分算法,ANOVA,伴随矩阵法,举例

The computation methods of the elements of Hessian matrix and the eigenvalues of Hessian matrix are discussed.

讨论了Hessian矩阵元的计算方法和Hessian矩阵特徵值的计算方法。

A new TMH(Template-Matching with Hessian matrix) method is proposed in this paper.

提出了一种新的肺结节检测算法——TMH(引入了Hessian矩阵的模版匹配)算法。

Moreover, the algorithm has better robustness and accuracy than DGMI algorithm and Hessian matrix algorithm.

与DGMD算法和单独的Hessian矩阵法算法相比,本方法有很好的鲁棒性和较高的准确性。

Thereby, sparsity of the Hessian matrix of the objective function is maintained by the approximate updated matrix sequence.

此算法的另一个重要性质是:算法产生的逼近目标函数Hessian阵的矩阵序列保持对称正定性。

We use gradient vectors to find possible profiles, which are then verified by analysis of Hessian matrix in multiscale space.

我们经由梯度向量的方向寻找可能剖面,再使用多尺度空间中的Hessian矩阵分析,验证剖面的真确性。

In the method, the symmetric positive semidefinite matrices are updated to approximate the Hessian matrices of the elemental objective functions and their sum to approximate the Hessian matrix of the objective function.

算法用对称半正定矩阵作为元素目标函数的Hessian阵的近似,使得其和仍然保持目标函数的Hessian阵的某种稀疏性。

The computation methods of the elements of Hessian matrix and the eigenvalues of Hessian matrix are discussed.

讨论了Hessian矩阵元的计算方法和Hessian矩阵特征值的计算方法。

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