Total shell matrix volume Thundiy, Squares A-D
Squares from D(–4) and D(20) Triples
... D -triple (see [3]) so that many of their properties follow from the properties of the general (pencils of) Euler triples (see [4,5] ). It is therefore interesting to look for those properties in which at least ...
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Convex Total Least Squares
... sured explanatory variables (Golub & Van Loan, 1980). It has become an indispensable tool in a variety of disci- plines including chemometrics, system identification, as- tronomy, computer vision, and econometrics ...
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Magic squares with a given total. Challenging Magic Squares for Magicians
... magic squares for your ...scribed total by setting x = (A + B C D)/ 2, but that tends not to be worth the effort, even when x is an integer, since it adds to the mental effort and often generates ...
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3.1 Least squares in matrix form
... ‘education’. This is clear from Panel 2 in Exhibit 3.5, which shows that x 2 and x 3 have a correlation of around 69 per cent. We refer also to Exhibit 3.1 (d), which shows a strong positive relation between x 2 ...
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Implicitly-weighted total least squares
... 5.2. No prior information on σ A 2 or σ B 2 If we do not have any prior information about error variances σ A 2 or σ B 2 , we cannot use (5.2) or (5.3). Instead, we use the convergence property (4.9) to evaluate a given ...
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On the computation of the structured total least squares estimator
... is O ( n 2 ) in n per iteration. The last experiment in this subsection deals with a multivariate STLS problem and compares the proposed algorithms with the algorithm of [12] (labelled STLNB). The simulation setup is as ...
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Least Squares Symmetrizable Solutions for a Class of Matrix Equations
... least squares symmetrizable solutions of matrix equations (AX = B, XC = D) and its optimal approximation ...the matrix row stacking, Kronecker product and special relations between two linear ...
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The element wise weighted total least squares problem
... The total least-squares method yields an inconsistent estimate of the parameter in this ...Modified total least-squares problem, called element-wise weighted total least-squares, ...
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Adaptive matching pursuit with constrained total least squares
... The scattering intensities are a 1 = a 2 = 10, a 3 = 1, and the ranges and the velocities are set such that the p, q parameters are p 1 = 10.1/M, p 2 = 10.7/M, p 3 = 20/M, q 1 = 19.4/M, q 2 = 10.2/M and q 3 = 15.2/M. ...
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The widely linear quaternion recursive total least squares
... Quaternion-valued signal processing is a very convenient al- ternative to 3-D and 4-D multichannel statistical signal pro- cessing [1], as conventional techniques employed typically do not fully accommodate ...
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Large-scale Tikhonov regularization of total least squares
... Regularized total least squares based on quadratic eigenvalue problem solvers, BIT 44 (2004) ...the total least squares problem, SIAM ...
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Tikhonov regularization for weighted total least squares problems
... diagonal matrix whose elements are 1 /σ for the first 16 elements and the last 16 elements are 3 σ which are not larger than ...The matrix S is the identity matrix and the matrix D is ...
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On the equivalence between Total Least Squares and Maximum Likelihood PCA
... data matrix D 0 was calcu- lated by multiplying the 10 × 3 matrix of concentrations by the 3 × 11 matrix of pure component ...noise matrix D of correlated measurement errors to ...
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Recursive Generalized Total Least Squares with Noise Covariance Estimation
... generalized total least squares (GTLS), yield the maximum likelihood estimates for EIV problems with a closed-form solution if the problem can be formulated ...
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Vehicle Mass Estimation Using a Total Least-Squares Approach
... g = E < max(E)d AND E > min(E)d (19) determines samples that are within an allowed error range, where {d ∈ R |0 < d < 1} is a constant. Only samples remain in the buffer where g = ...
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High performance numerical algorithms and software for structured total least squares
... The problems listed below are special cases of the block-Toeplitz/Hankel STLS problem, for particular choices of the structure specification K, D . If not given, K and the third element of D l are by default ...
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Application of structured total least squares for system identification and model reduction
... D. Known Initial Conditions In the GTLS problem, no prior knowledge about initial con- ditions is assumed. Thus, the best fitting trajectory is searched in the whole behavior of the approximating system. If the ...
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Total Least Squares Methods
... namely into scalar minimization problems, where each function evaluation requires the solution of a quadrat- ically constrained linear least squares problem. 26 The constrained formulation (10) has been solved via ...
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Robust local vegetation records from dense archaeological shell matrixes: a palynological analysis of the Thundiy shell deposit, Bentinck Island, Gulf of Carpentaria, Australia
... the Thundiy shell midden deposit, Bentinck Island, Gulf of Carpentaria, northern Australia, to provide a vegetation and fire record for this site, which sheds light on human occupation of the southern ...
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Teaching Least Squares in Matrix Notation
... least squares method, a fundamental piece of knowledge for students of all scientific tracks, is often introduced considering the simple linear regression with only two parameters to be ...least squares ...
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