共查询到17条相似文献,搜索用时 703 毫秒
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推导出了对称二次特征值问题灵敏度的一种新算法,给出了二次特征对的导数.算法只需要已知系统的部分模态,比较适合大型复杂动力系统.数值结果表明该算法是有效的. 相似文献
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本文研究了解析依赖于多参数的二次特征值问题特征对偏导数的计算.利用计算广义特征值问题特征向量偏导数的模态法.提出了一种计算二次特征值问题特征对一阶、二阶偏导数的方法.本文最后以弹簧质点阻尼系统为例验证了所给结论的正确性和方法的有效性. 相似文献
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研究了广义特征问题中特征值和不变特征子空间对参数的导数,利用隐函数定理证明了亏损广义特征值问题的平均特征值对参数的解析性,并利用标准特征值的灵敏度分析得到了可约化广义亏损特征值的平均值和相应的不变子空间对参数的导数.这一结果在结构优化、模型修正、以及故障诊断等领域中有着重要应用,为工程计算提供了理论依据. 相似文献
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借助集值优化问题的灵敏度分析,讨论了下层无扰动,上层带扰动参数的二层多目标最优化问题的灵敏度分析. 相似文献
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一类二次特征值反问题的中心对称解及其最佳逼近 总被引:1,自引:0,他引:1
1引言给定n阶实矩阵M,C和K,二次特征值问题:求数λ和非零向量x使得Q(λ)x=0, (1.1)其中Q(λ)=λ2M λC K称为二次束.数λ和相应的非零向量x分别称为二次束Q(λ)的特征值和特征向量.Tisseur和Meerbergen概述了二次特征值问题的各种应用、数学理论和数值方法.在工程技术,特别是结构动力模型修正技术领域经常遇到与二次特征值问题相反的问题(称之为二次特征值反问题).对阻尼结构进行动力分析时,应用有限元方法可得到系统的质量矩阵M,阻尼矩阵C和刚度矩阵K,从而可求得二次特征值问题的特征值(频率)和特征向量(振型).但是有限元模型毕竟是实际结构系统的离散化,并且 相似文献
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阻尼弹簧-质点系统中的逆二次特征值问题 总被引:1,自引:0,他引:1
王正盛 《高等学校计算数学学报》2005,27(3):217-224
1、引言 由于二次特征值问题(QEP-Quadratic Eigenvalue Problem)在结构动力学、电子振荡、陀螺仪系统、流体力学以及信号处理等领域中的广泛应用,已经或正在吸引着数学研究者和工程技术人员越来越多的关注与研究.所谓QEP就是寻求标量λ和非零向量x满足。 相似文献
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Derivatives of eigenvalues and eigenvectors with respect to parameters in symmetric quadratic eigenvalue problem are studied. The first and second order derivatives of eigenpairs are given. The derivatives are calculated in terms of the eigenvalues and eigenvectors of the quadratic eigenvalue problem, and the use of state space representation is avoided, hence the cost of computation is greatly reduced. The efficiency of the presented method is demonstrated by considering a spring-mass-damper system. 相似文献
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Jitka Dupačová 《Annals of Operations Research》1991,30(1):199-214
Different approaches to statistical sensitivity analysis for optimal solutions of stochastic programs are discussed and compared. Possibilities of drawing conclusions about asymptotic behavior of estimated optimal solutions by means of stability properties of auxiliary randomly perturbed convex quadratic programs are indicated and illustrated on a numerical example. 相似文献
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In this paper we consider an inverse problem for a damped vibration system from the noisy measured eigendata, where the mass, damping, and stiffness matrices are all symmetric positive‐definite matrices with the mass matrix being diagonal and the damping and stiffness matrices being tridiagonal. To take into consideration the noise in the data, the problem is formulated as a convex optimization problem involving quadratic constraints on the unknown mass, damping, and stiffness parameters. Then we propose a smoothing Newton‐type algorithm for the optimization problem, which improves a pre‐existing estimate of a solution to the inverse problem. We show that the proposed method converges both globally and quadratically. Numerical examples are also given to demonstrate the efficiency of our method. Copyright © 2008 John Wiley & Sons, Ltd. 相似文献
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This paper presents a new computational approach for solving the Regularized Total Least Squares problem. The problem is formulated by adding a quadratic constraint to the Total Least Square minimization problem. Starting from the fact that a quadratically constrained Least Squares problem can be solved via a quadratic eigenvalue problem, an iterative procedure for solving the regularized Total Least Squares problem based on quadratic eigenvalue problems is presented. Discrete ill-posed problems are used as simulation examples in order to numerically validate the method.
AMS subject classification (2000) 65F20, 65F30.Received March 2003. Revised November 2003. Accepted January 2004. Communicated by Per Christian Hansen. 相似文献
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Bibhas Adhikari 《Linear and Multilinear Algebra》2013,61(5):603-616
Given a quadratic two-parameter matrix polynomial Q(λ,?μ), we develop a systematic approach to generating a vector space of linear two-parameter matrix polynomials. The purpose for constructing this vector space is that potential linearizations of Q(λ,?μ) lie in it. Then, we identify a set of linearizations and describe their constructions. Finally, we determine a class of linearizations for a quadratic two-parameter eigenvalue problem. 相似文献