Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Angelika Bunse-Gerstner"'
Publikováno v:
EPIC3Monthly Weather Review, AMER METEOROLOGICAL SOC, 142(6), pp. 2165-2175, ISSN: 0027-0644
In data assimilation applications using ensemble Kalman filter methods, localization is necessary to make the method work with high-dimensional geophysical models. For ensemble square root Kalman filters, domain localization (DL) and observation loca
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 140:2249-2259
Ensemble-based Kalman smoother algorithms extend ensemble Kalman filters to reduce the estimation error of past model states utilizing observational information from the future. Like the filters they extend, current smoothing algorithms are optimal o
Publikováno v:
Computers & Fluids. 46:155-160
The problem of state estimation occurs in many applications of fluid flow. For example, to produce a reliable weather forecast it is essential to find the best possible estimate of the true state of the atmosphere. To find this best estimate a nonlin
Publikováno v:
Journal of Computational and Applied Mathematics. 233:1202-1216
Modeling strategies often result in dynamical systems of very high dimension. It is then desirable to find systems of the same form but of lower complexity, whose input-output behavior approximates the behavior of the original system. Here we conside
Publikováno v:
Electrical Engineering. 91:287-299
Multitone Harmonic Balance (HB) is widely used for the simulation of the quasiperiodic steady state of RF circuits. HB is based on a Fourier expansion of the unknown waveforms and is state-of-the-art. Unfortunately, trigonometric polynomials exhibit
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems. 14:407-420
Two reduction methods for passive second-order systems are presented, preserving not only the second-order structure but also the passivity of the original system. The first method is based on applying a projection directly to the second-order system
Publikováno v:
Monthly Weather Review. 136:1511-1522
Incremental four-dimensional variational data assimilation is the method of choice in many operational atmosphere and ocean data assimilation systems. It allows the four-dimensional variational data assimilation (4DVAR) to be implemented in a computa
Publikováno v:
International Journal for Numerical Methods in Fluids. 56:1367-1373
The Gauss-Newton (GN) method is a well-known iterative technique for solving nonlinear least-squares problems subject to dynamical system constraints. Such problems arise commonly in optimal state estimation where the systems may be stochastic. Varia
Publikováno v:
Mathematics and Computers in Simulation. 73:65-75
We present a modified version of the two-level iterative method proposed in [M. Hanke, R. Vogel, Two-level preconditioners for regularized inverse problems. I: Theory, Numerische Mathematik 83 (1999) 385-402]. Here, we propose the application of the
Autor:
Dorota Kubalińska, Angelika Bunse-Gerstner, Rainer Laur, K.K. Duganapalli, Shyam Praveen Vudathu
Publikováno v:
Microsystem Technologies. 13:1545-1551
This paper presents an emerging theory on the effects of unavoidable process variations during the fabrication of MEMS and other microsystems. The effects of parametric variations on device performance and design yield of the microsystems devices are