函数矩阵
- 与 函数矩阵 相关的网络例句 [注:此内容来源于网络,仅供参考]
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Based on the Collins formula, the analytical propagation equations for a Gaussian beam through a multiple spatial filter system are derived by using the methods of the matrix decomposition and expanding the aperture function into a finite sum of complex Gaussian function .
以Collins衍射积分公式为基础,利用A0CD矩阵分解与物理实现的技巧,以及将硬边光阑窗口函数展开为有限个复高斯函数之和的方法,推导出了高斯光束通过多级空间滤波器系统的传输方程,并用数值计算加以说明。
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The propagation equations for oblique and off-axial Gaussian beams passing through cat-eye optical lens are deduced by using the theory of matrix optics and expanding the aperture function into a finite sum of complex Gaussian functions.
运用矩阵光学理论以及将硬边光阑窗口函数展开为有限个复高斯函数之和的方法,进一步推导了倾斜离轴高斯光束通过猫眼光学镜头的解析传输公式,通过数值计算分析得到了倾斜系数和离轴量对猫眼效应反射光光强分布的影响规律。
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But the introduction of new basis functions also poses a new problem, that is, the complexity of computation of two matrixes' elements in the derivative generalized eigenvalue problem in NMM. Fortunately we found a recursive algorithm and solved it concisely.
在引入幅度基函数和斜度基函数后,广义特征值问题中矩阵元素的计算变的繁琐,我们运用一种递推算法简洁地解决了这个问题。
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The upper-bound counts and the lower-bound counts of Bent functions are proposed by researching the Hadamard matrix, which decrease the searching space of Bent functions.
通过正规Hadamard矩阵研究给出了GF(2~n)上Bent函数计数的上下界,降低了Bent函数搜索的空间。
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In this model, the Hamiltonian operator includes not only the anharmonic parameter, but also the dispersive parameters describing dipole-dipole interactions, reflecting the character of molecular stretching vibrations.
计算中引入的模型Hamilton算符所包含的描述U-F键非谐振动的参数λ和描述U-F键之间的偶极-偶极相互作用参数ε1,ε2由实验值得出,波函数|ψn〉按形式为|n,α〉=|n1〉|n2〉|n3〉|n4〉|n5〉|n6〉的基函数集展开,从而把复杂的Hamilton方程转化为简单的矩阵代数方程。
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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。
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The results show that the key of this algorithm is the solution of the integral operational matrix of orthogonal function.
研究结果表明:基于正交函数逼近法的分布参数系统参数辨识算法的关键在于正交函数正、反向积分运算矩阵的求解。
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In Chapter 4 we discuss the solvable theorem of adaptive inverse optimal control problems, and proceed with controller designs of global asymptotic stability in probability, adaptive inverse optimal stabilization in probability and output-feedback adaptive inverse optimal stabilization in probability for strict-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters using It〓's differentiation rule and an adaptive backstepping algorithm. Control laws and adaptive laws can be obtained at one time by this design scheme. Many simulations have been performed to validate the properties of the proposed adaptive control scheme.
在第4章中,针对具有标准Wiener噪声扰动和未知定常参数的不确定随机非线性系统,提出并证明了自适应逆最优控制问题可解定理,构造了适当形式的四次型随机控制Lvapunov函数,基于It〓微分规则和自适应Backstepping算法,系统地设计了全局依概率渐近稳定控制器、自适应逆最优控制器、输出反馈逆最优控制器以及在设计中如何处理二阶Hessian矩阵函数的方法,这种方法可同时获得控制律和自适应律,通过实例仿真,表明该控制算法是有效性的。
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Finally, A class of inverse Riemann boundary value problem for bianalytic functions on the real axis is proposed.
先消去参变未知函数,再采用易于推广的矩阵形式记法,可把该问题转化为两个实轴上的解析函数Riemann边值问题。
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First,this problem is converted into the problem of H_2 opmization constrainedby H_∞performance and pole location,then an auxiliary perfomance function is introduced,andthe former problem can be converted into the optimal problem of minimization of the auxiliaryperformance function with constraints described by a matrix equation,at Jast this problem issolved by lagrange multipliers,and the static output feedback controllers are designed.
首先将文题转化为一个具有H_∞性能和系统闭环极点位置约束的系统H_2性能优化问题。进而通过引入一个辅助性能函数,将其转化成有一个矩阵方程约束的辅助性能函数的最小化优化问题,并给出这个问题静态输出反馈控制器的解。
- 推荐网络例句
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This one mode pays close attention to network credence foundation of the businessman very much.
这一模式非常关注商人的网络信用基础。
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Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.
扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。
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There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.
双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。