scispace - formally typeset
Search or ask a question

Answers from top 16 papers

More filters
Papers (16)Insight
The results show that matrix complexity is not an outcome of program age, nor does matrix complexity at the time of implementation appear to influence program survival.
Compared to the state-of-the-art schemes, our scheme does not require the precondition that the original matrix should be invertible.
It does not require that the topography be highly smooth, a condition required in the curved finite difference method and the spectral method.
Open accessJournal ArticleDOI
78 Citations
We describe the pronounced differences in the intensity enhancement and field distributions for the two systems, providing valuable information for the design and optimization of opti...
In this paper we (i) propose an accurate method to compute minimum condition number scheme; and (ii) introduce determinant of the information matrix (DIM) as a new opti-mality metric that scales with number of measurements and does reflect what one would gain from acquiring more measurements.
That is, each ML provides a substantial improvement in time and convenience over the matrix generator/report writers of the last few decades.
The OPTI measure could be a useful research tool in such investigations.
The OPTI-net is very effective in identifying optimal, or suboptimal, solutions even in search spaces up to /spl ap/10/sup 16/ for a fully connected network with 50 vertexes.
Most importantly, it offers second-order accuracy even on meshes that are not smooth, rigorously treats material discontinuities, and has a symmetric positive-definite coefficient matrix.
To achieve opti-mal system parameters, strengths and weaknesses should be under the influence of dynamics.
Comparison shows that Opti-DCN is significantly faster to converge to equal-density cartograms and can mathematically and practically eliminate topological errors.
Open accessJournal ArticleDOI
Peter J. Park, Lu Tian, Isaac S. Kohane 
01 Jul 2002
127 Citations
The algorithm is fast, as it does not involve any matrix decompositions in the iterations.
Proceedings ArticleDOI
Pando Georgiev, Andrzej Cichocki 
01 Jan 2001
22 Citations
We propose a new one-step algorithm, based on non-smooth optimization theory, which disperses the eigenvalues of the matrix Z(b) providing sufficient distance between them.
Proceedings ArticleDOI
Youmin Zhang, X.R. Li 
15 Sep 1996
21 Citations
Similarly to the SVD-based square-root filter, the proposed smoother has good numerical stability and does not require covariance matrix inversion.
It appears that the optimal trajectories for these problems need only be piecewise smooth with the smooth arcs being given in terms of a product of matrix exponentials.
As QR decomposition does not ensure continuity, but projective matrix does, convergence behaviour of the new method can be discussed under more reasonable assumptions.