Singular value decomposition (SVD)
The Singular Value Decomposition and the Control of a Robot in Singular Configuration
... the Singular Value Decomposition (SVD) of the matrix J to describe the degenerate direction, to char- acterize the feasible trajectories and to define the control law at the ...
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Estimating the Jacobian of the Singular Value Decomposition : Theory and Applications
... Rapport de recherche n° 3961 — Juin 2000 — 21 pages Abstract: The Singular Value Decomposition (SVD) of a matrix is a linear algebra tool that has been successfully applied to a wide variety of ...
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Simultaneous refinements with complex compositional constraints - examples of singular value decomposition to diagnose poor matrix conditioning
... through singular value decomposition of the unprocessed least-squares matrix, and then dealt with in order to improve the reliability of such ill-conditioned ...
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Approximate Joint Singular Value Decomposition of an Asymmetric Rectangular Matrix Set
... resulting decomposition is an extension of the singular value decomposition to a set comprising more than two matrices, which we name Approximate Joint Singular Value ...
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Denoising NMR time-domain signal by singular-value decomposition accelerated by graphics processing units
... We present a post-processing method that decreases the NMR spectrum noise without line shape distortion. As a result the signal-to-noise (S/N) ratio of a spectrum increases. This method is called Cadzow enhancement ...
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A singular value approach for humanoid motion analysis and simulation
... • consider that some tasks have higher priority, try to realize them first, then obtain a least-error solution for lower priority tasks. In this work, we study and compare both approaches with particular emphasis on the ...
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On singular values decomposition and patterns for human motion analysis and simulation
... • consider that some tasks have higher priority, try to realize them first then obtain a least-error solution for lower priority tasks. In this work, we study and compare both approaches with articular emphasis on the ...
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A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapy.
... As one can notice, the resulting individual specific matrices R are not diagonal. This matrices can be regarded as projections onto a subspace of , with and . ℝ A ≤ F B ≤ G Extension to 3D images In the following ...
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Camera Self-Calibration Using the Singular Value Decomposition of the Fundamental Matrix: From Point Correspondences to 3D Measurements
... The left column shows the standard deviation in pixels of the noise added to image points, the second column shows the estimated A matrices, the third column contains the error statistic[r] ...
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The exact condition number of the truncated singular value solution of a linear ill-posed problem
... truncated singular value solution of an ill-posed prob- lem which relies on a singular value decomposition of the ...the singular value ...
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MICROLOCAL ANALYSIS OF SINGULAR MEASURES
... whose orthogonal set C ⊥ is reduced to {0 R d+1 }, shows that this invariance property may provide no information. In this section, we give a few elements toward the understanding of more general cases, providing ...
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ComfortChoice : bringing value to the value chain
... Carrier needs to determine how the financial and environmental impact of ComfortChoice compares with other sources of distributed power and peak power generation for demand [r] ...
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Free boundary problems involving singular weights
... 5. C 1+γ regularity at the free boundary In the previous section we showed minimizers are locally H¨ older contin- uous, which, in particular, yields a rough oscillation control of u near the free boundary. The heart of ...
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Volterra differential equations with singular kernels
... Theorem 4.3 The hypothesis of Theorem 3.2 are assumed to hold. More- over, b and σ are supposed to be once continuously differentiable with respect to their space variable, with bounded derivative; assume furthermore ...
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Heat semigroup and singular PDEs
... frequency decomposition and the study of paraproducts mainly relies on the following rule: the spectrum of the product of two functions is included into the sum of the two spectrums, which comes from the group ...
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Singular integral operators on tent spaces
... (see Proposition 5.3). However, the range of q may be limited as well, which is the case for −div A∇ operators with complex-valued coefficients, and again we may not have a large enough value of M . On the other ...
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Singular Zeros of Polynomial Systems
... The numerical treatment of singular zeroes is a difficult task, mainly be- cause of the ill-posedness of the problem. The following strategy can however be adopted. Find a perturbation of the input system such ...
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On Hodge Theory of Singular Plane Curves
... which clearly completes the proof of Theorem 5.1. Example 5.6. In this example we present a free divisor C : f = 0, whose irre- ducible components consist of 12 lines and one elliptic curve, and where F 2 H 2 (U, C) 6= P ...
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On Singular Limits of Mean-Field Equations
... The functional E is the one which is used to study in L1 the asymptotic behaviour of drift-di usion problems corresponding to a nonlinear diffusion see [CJMTU00, BDM99] for the case with[r] ...
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Singular factors of rational plane curves
... Fitting ideals of this matrix are not zero, and moreover from i = n + 1 to n + h they are multiples of a(t, 1) i−1 . From here, the claim follows straightforwardly. Now we are ready for dealing with the inductive step ...
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