Technical reports 2000
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- Hans Bruun Nielsen:
Separable NonLinear Least Squares (16 pp.)
- Søren Christiansen:
Using maple V to derive and analyse a quadrature formula for a harmonic boundary integral operator. (23 pp.)
- Hans B. Nielsen:
Multi-Exponential Fitting of Low-Field 1H NMR Data. (30 pp.)
- Per Chr. Hansen and P.Y. Yalamov:
Computing symmetric rank-revealing decompositions via triangular factorization. (15 pp.)
- Kaj Madsen, and J. Zilinskas:
Testing branch-and-bound methods for global optimization. (28 pp.)
- M. Nørgaard:
KALMTOOL : State estimation for nonlinear systems. (46 pp.)
- Jan Nygaard Nielsen, Henrik Madsen, and Henrik Melgaard:
Estimating parameters in discretely, partially observed stochastic differential equations.
- Kim Nolsøe, Jan N. Nielsen and Henrik Madsen:
Optimal weights in prediction error and weighted least squares methods. (22 pp.)
- Mikkel Baadsgaard, Jan N. Nielsen and Henrik Madsen:
Estimating multivariate exponential-affine term structure models from coupon bond prices using nonlinear filtrering. (21 pp.)
- Kim Nolsøe, Jan N. Nielsen and Henrik Madsen:
Prediction-based estimating functions for diffusion processes with measurement noise. (25 pp.)
- P. Sadegh and H. Øjelund:
Hierarchical local regression. (28 pp.)
- M.B. Stegmann, R. Fisker and B.K. Ersbøll:
On properties of active shape models. (28 pp.)
- Per Chr. Hansen, Peter S.K. Hansen, S.D. Hansen and John Aa. Sørensen:
Canonical filters and rank-reduction algorithms. (19 pp.)
- J.K. Reid, Jan M. Rasmussen and Per C. Hansen:
The LINPACK Benchmark in Co-Array Fortran (7 pp.)
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Jesper Larsen, Jens Clausen and O.B.G. Madsen:
Using parallel computers to solve the vehicle routing problem with time windows.
(20 pp.)
- Hans Bruun Nielsen:
Surrogate modelling and space mapping for engineering optimization. (41 pp.)
- Hans Bruun Nielsen:
UTCP test problems for unconstrained optimization. (19 pp.)
- Thomas Kolenda and Lars Kai Hansen:
Dynamical somponents of chat. (22 pp.)
- Hans Bruun Nielsen:
UCMINF- An algoritm for unconstrained nonlinear optimization.