Many applications in computational science and engineering require the computation of eigenvalues and vectors of dense symmetric or Hermitian matrices. For example, in DFT (density functional theory) calculations on...
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Many applications in computational science and engineering require the computation of eigenvalues and vectors of dense symmetric or Hermitian matrices. For example, in DFT (density functional theory) calculations on modern supercomputers 10% to 30% of the eigenvalues and eigenvectors of huge dense matrices have to be calculated. Therefore, performance and parallel scaling of the used eigensolvers is of upmost interest. In this article different routines of the linearalgebra packages ScaLAPACK and Elemental for parallel solution of the symmetric eigenvalue problem are compared concerning their performance on the BlueGene/P supercomputer. Parameters for performance optimization are adjusted for the different data distribution methods used in the two libraries. It is found that for all test cases the new library Elemental which uses a two-dimensional element by element distribution of the matrices to the processors shows better performance than the old ScaLAPACK library which uses a block-cyclic distribution.
Recent years an extensive literature appears using the Lie groups theory to solve the problems of computer vision. Lie groups theory is the natural representation of a space of transformations. Lie algebra is the tang...
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Recent years an extensive literature appears using the Lie groups theory to solve the problems of computer vision. Lie groups theory is the natural representation of a space of transformations. Lie algebra is the tangent space of Lie groups at the identity. From Lie groups to Lie algebra, we can establish a mapping from the multiplicative structure to an equivalent vector space representation, which makes correlation calculation become rational and precise. Based on the linear structure of Lie algebra, many statistical learning methods can be readily applied. This survey briefly reviews the different approaches about the use of Lie groups theory that have been developed by research; introducing the mathematical background of Lie groups theory corresponding to computer vision; describing the main approaches in details according two categories.
We investigate randomized distributed algorithms for matrix computations over loosely coupled distributed systems, such as P2P networks or sensor networks. In this poster, we discuss orthogonalization methods and orth...
We investigate randomized distributed algorithms for matrix computations over loosely coupled distributed systems, such as P2P networks or sensor networks. In this poster, we discuss orthogonalization methods and orthogonal iteration. These algorithms are very well understood in the sequential or in the classical parallel context, and they are important building blocks for many algorithms in numericallinearalgebra.
In this study an alternative characterisation of the null controllable region for linear systems subject to input saturation with strictly positive real eigenvalues is proposed. First an outer estimate of the null con...
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In this study an alternative characterisation of the null controllable region for linear systems subject to input saturation with strictly positive real eigenvalues is proposed. First an outer estimate of the null controllable region is obtained and then an iterated convexification technique is developed.
Fixed parameter iterative learning control (ILC) for linear-time invariant, single-input single-output systems subject to output noise is analysed with the intent of predicting the expectation of the underlying 'n...
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Fixed parameter iterative learning control (ILC) for linear-time invariant, single-input single-output systems subject to output noise is analysed with the intent of predicting the expectation of the underlying 'noise-free' mean square error (Euclidean norm) of the time series on each iteration. Explicit formulae are obtained in terms of the 'lifted' matrix models of the plant. Computational experiments are used to confirm the correctness of the proposed properties. Finally, frequency domain formulae are derived to provide insight into links between plant characteristics, noise spectra and other ILC parameters, and illustrated by application to the inverse-model-based ILC algorithm.
The problem on the existence of a common quadratic Lyapunov function (CQLF) for discrete switched linear systems with m stable subsystems is considered. System matrices are Schur stable. A necessary condition for the ...
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The problem on the existence of a common quadratic Lyapunov function (CQLF) for discrete switched linear systems with m stable subsystems is considered. System matrices are Schur stable. A necessary condition for the existence of a CQLF and a sufficient condition for the non-existence of a CQLF are derived, respectively. numerical examples are presented to illustrate the results.
We consider the asymptotic behavior of solutions of a linear differential system x ' = A(t)x, where A is continuous on an interval la, DC)). We are interested in the situation where the system may not have a desir...
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We consider the asymptotic behavior of solutions of a linear differential system x ' = A(t)x, where A is continuous on an interval la, DC)). We are interested in the situation where the system may not have a desirable asymptotic property such as stability, strict stability, uniform stability, or linear asymptotic equilibrium, but its solutions can be written as x = Pu, where P is continuously differentiable on la, infinity) and u is a solution of a system u ' = B(t)u that has the property in question. In this case we say that P preconditions the given system for the property in question. (C) 2010 Elsevier Inc. All rights reserved.
In this study, the robust stochastic stability problem for discrete-time uncertain singular Markov jump systems with actuator saturation is considered. A sufficient condition that guarantees that the discrete-time sin...
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In this study, the robust stochastic stability problem for discrete-time uncertain singular Markov jump systems with actuator saturation is considered. A sufficient condition that guarantees that the discrete-time singular Markov jump systems with actuator saturation is regular, causal and stochastically stable is established. With this condition, for full and partial knowledge of transition probabilities cases, the design of robust state feedback controller is developed based on linear matrix inequality (LMI) approach. A numerical example is given to illustrate the effectiveness of the proposed methods.
作者:
Ahn, H. -S.GIST
Sch Mechatron Kwangju 500712 South Korea
This study addresses methods for finding lower and upper boundaries of powers of parametric interval uncertain matrix. Two results are presented. As the first result, a method to find the exact lower and upper boundar...
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This study addresses methods for finding lower and upper boundaries of powers of parametric interval uncertain matrix. Two results are presented. As the first result, a method to find the exact lower and upper boundaries of powers of single-parametric interval matrix is established. As the second result, the lower and upper boundaries of powers of general interval matrix are evaluated. Three numerical examples and one application example are presented to validate the method and analysis proposed in this study.
Work capacity models are very important tool in profiling a person against a defined set of competencies usually related to knowledge and skills, and the person's physical and behavioral characteristics and constr...
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Work capacity models are very important tool in profiling a person against a defined set of competencies usually related to knowledge and skills, and the person's physical and behavioral characteristics and constraints. In the case of an engineering student, for example, these set of competencies may be defined by a mentor or adviser such as, but are not limited to: knowledge on certain theoretical and practical aspects, skills in analyzing and designing engineering systems, leadership skills, and team-work, for example. Physical and behavioral characteristics, on the other hand, would depend on the person being assessed and various methods are also available in literature. However, work capacity models available in literature suffer from various drawbacks such as: 1) they do not reflect the fact that work capacity vary with time and external conditions; and 2) work capacity models are usually used to describe a single agent and not on a group of agents. In order to be able to include these drawbacks and convert them as added features, a dynamic input-output model describing the work capacity of a group of agents is devised using simple linearalgebra and system theory concepts. We show that such models could be utilized in the academe in assessing the net work capacity (NWC) of a group of student working on a thesis topic, or even in the industry in assessing the NWC of a certain group of employees in a department, for example.
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