Subspace Methods
Comparison of Fixed Point Methods and Krylov Subspace Methods Solving Convection Diffusion Equations
... iterative methods are the stationary iterative me- thods (fixed point methods) [1]-[3], and the more general Krylov subspace methods ...iterative methods suffer from slow convergence ...
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Krylov subspace methods for time modeling of photonic crystals
... Krylov subspace methods are way more efficient than FDTD if a high accuracy is ...Krylov subspace methods allow one for a slightly higher time discretization error to perform the time ...
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Subspace Methods for Multimicrophone Speech Dereverberation
... Thus, frequency domain approaches are called for. In this section, we suggest incorporating the TLS subspace method into a subband structure. The use of subbands for splitting adaptive filters, especially in the ...
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Subspace Methods applied to gPC-based Surrogate Model Construction.
... To verify the proposed methods in the chapter 3, test model A, a 1D two-group simple fuel model is used. The cross-section values in Table 2.1 are assumed to have uncertainties. Each cross-section valueis assumed ...
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A Review on Subspace Methods for Face Image Recognition
... Thus PCA forms a PCA subspace and the combination of PCA and LDA form the LDA subspace having high discrimination. For classification purpose, Nearest Neighbor Classifier (NNC) is used. Experiments are ...
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Data Computational Modelling of Multivariable Non-Stationary Noisy Linear Systems by MOESP_AOKI_VAR Algorithm
... the subspace methods: Multivariable Output-Error State Space (MOESP), used for computational modelling of systems and on an AOKI algorithm developed by Masanao Aoki, for computational modelling of time ...
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Adaptive Randomized Dimension Reduction on Massive Data
... The scalability of statistical estimators is of increasing importance in modern applications. One approach to implementing scalable algorithms is to compress data into a low dimensional latent space using dimension ...
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On the Behavior of Combination High Order Compact Approximations with Preconditioned Methods in the Diffusion Convection Equation
... mathematical methods such as the homotopy perturbation method, variational itera- tion method, Adomian decomposition method and others [1-3] have been proposed to obtain approximate solu- tions in partial ...
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Deflation Technique to Accelerate the Convergence of Iterative Solver for the Wave Scattering Problem
... In this paper, we discussed the ingredients of robust and efficient iterative solver for high wave number Helmholtz problems. Need of preconditioner is highlighted and a critical investigation of different ...
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Krylov Subspace Spectral Methods for the Time-Dependent Schr¨odinger Equation with Non-Smooth Potentials
... KSS methods, by employing dif- ferent approximations of the solution operator for each Fourier component of the solution, achieve higher-order accuracy in time than other Krylov subspace methods ...
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Numerical Verification of 10000-dimensional Linear Systems 10000x Faster
... Tool Presentation: We evaluate an improved reachability algorithm for linear (and affine) systems implemented in the continuous branch of the Hylaa tool. While Hylaa’s earlier approach required n simulations to verify an ...
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Face recognition and verification using photometric stereo: The photoface database and a comprehensive evaluation
... unsupervised subspace methods (such as NMF, PCA, LDA etc) and Elastic Bunch Graph using jets using all four images with and without illumination compensation ([?], [?], [?]) and fuse the results (with ...
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Wideband Direction of Arrival Estimation Based on the Principal Angle Between Subspaces
... (ML) methods and subspace methods are the most well ...The subspace methods, although not optimal, are more computationally attractive than ML ...methods. Subspace ...
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Forecasting VARMA processes using VAR models and subspace based state space models
... “subspace methods” allows for a quick and simple specification (even simpler than in the VAR case) and estimation of a SS model, providing an interesting alternative to the quickly-obtained VAR ...
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Preconditioners based on splitting for time domain photonic crystal modeling
... Today the Maxwell equations of electrodynamics are still solved using the finite-difference time-domain method, because of the relative simplicity of the method. In order to solve these equations on an infinite domain, ...
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Face Recognition Using Classification-Based Linear Projections
... face subspace is linear and that there is a linear separation between ...Kernel methods are based on relaxation of the first ...linear subspace method, the neighbourhood component analysis (NCA) ...
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Simulation of microwave circuits and laser structures including PML by means of FIT
... In comparison to the simple lossy case the number of it- erations of Krylov subspace methods increases significantly in the presence of PML. Among others the speed of conver- gence depends on the relations ...
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Improvements for electromechanical oscillation mode estimation via subspace identification methods
... identification methods have been presented in this ...improved subspace identification methods and electromechanical mode tracking via subspace ...
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Subspace system identification
... called subspace methods. Subspace methods basically originate in a good combination between system theory, geometry and numerical linear ...that subspace methods calculate a good ...
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Integral equation analysis of complex (M)MIC-structures with optimized system matrix decomposition and novel quadrature techniques
... We can observe that the topology of the (M)MIC-circuitry is completely transferred to the submatrix decomposition of Z i . As next step, we perform an adapted Cholesky decom- position of Z i using the described submatrix ...
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