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constrained相关的网络例句

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In these boundaries, the contravariant velocity components normal to the boundary are constrained by mass conservation, and for other velocity components and turbulent quantities, the second derivatives are set to zero.

在这些界限, contravariant速度组分正常对界限由许多保护压抑,并且为其他速度组分和动荡数量,第二种衍生物调整到零。

The diagonal loading factor anti convergence performance were analyzed and the convergence scope of robust constrained LMS algorithm was also given.

针对上述问题,考虑信号方向向量的偏差对LMS算法性能的影响,提出了一种基于对角载入的鲁棒约束LMS算法,并对算法的对角载入因子和收敛性能进行了分析,给出了保证算法收敛的步长取值范围。

On the basis of general Krawczyk-Hansen Operator, the interval iteration of the constrained functions are established; the interval extension of maximum entropy function is discussed; convergence is proved; region deletion rules are supplied and the algorithm of interval maximum entropy has been set up.

利用极大熵函数和罚函数将问题转化为无约束可微优化问题,借助广义Krawczyk-Hansen算子建立了约束函数的区间迭代;讨论了极大熵函数和罚函数的区间扩张,证明了收敛性等性质,给出了无解区域删除原则,建立了区间极大熵算法。

Secondly, a dual algorithm is constructed for general constrained nonlinear programming problems and the local convergence theorem is established accordingly.

我们还进一步构造了一般约束非线性规划问题的对偶算法,建立了相应的局部收敛理论。

In the more mature areas such as linear programming and unconstrained optimization, and in those of intermediate maturity such as integer and constrained convex optimization, emphasis will be placed on rapid, large-scale computation.

在那些更为成熟的如线性规划和无约束优化等领域和一些不太成熟的如整数和约束优化等领域,研究的重点将被放到快速的,大规模的计算上。

In this paper, we give a new class of adaptive nonmonotone spectral projected gradient technique for convex constrained optimization.

该文给出了求解凸约束优化的一类新的自适应非单调谱投影梯度法,主要思想是通过引入具有自适应性的权重参数,使算法在迭代过程中能自动调节非单调策略。

Inequality constrained least-square problems are first changed to convex quadratic programming problems and then solved for the optimal solutions.

研究了不等式约束下的平差问题,即先将不等式约束的最小二乘问题转换成凸二次规划问题,然后求其最优解。

A parametric optimization method for tracking optimal solution's trajectory of linearly constrained convex separable programming was presented.

提出一种追踪线性约束下凸可分规划问题最优解轨迹的参数化方法。

Taking the unknown coordinate in curved surface and curve as design variables, the equation of curved surface as constrained condition, and the distance between unknown coordinate as objective function, optimization is proposed to minimize the distance between curved surface and curve.

建立以曲面、曲线上未知,点坐标设计变量,以曲面和曲线方程为约束条件,以曲线和曲面距离为目标函数的约束优化方法来精确地确定曲面和曲线之间最短距离,同时确定获得最短距离对应的坐标点。

With the constraints of these feature points, perspective projection, coplanarity and colinearity, the curved surfaces can be recovered by minimizing the linearly constrained quadric objective function.

把特征点的位置、共面、共线、透视投影等作为约束,通过最小化线性约束下的二次目标函数实现曲面重建。

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Listen,point and check your answers.

听,指出并且检查你的答案。

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