Results 231 to 240 of about 4,816,952 (284)

A novel univariate legendre polynomial method for probabilistic failure load prediction in composite open-hole laminate. [PDF]

Sci Rep
Li M, Yuan B, Li F, Fang Y, Zhu X.
europepmc   +1 more source

Multi-scale effects of soil and water conservation on runoff and sediment transport in a Chinese loess plateau basin. [PDF]

Sci Rep
Ding X, Yu Y, Feng X, Zhang J, Liu X.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Why Model Order Reduction

2023
Reasonably recently, a new efficient method appeared for solving complex non-linear differential equations (and systems of differential equations). In this method -- known as Model Order Reduction (MOR) -- we select several solutions, and approximate a general solution by a linear combination of the selected solutions.
Robles, Salvador, Ceberio, Martine, Kreinovich, Vladik   +2 more
openaire   +1 more source

Symbolic model order reduction

Proceedings of the 2003 IEEE International Workshop on Behavioral Modeling and Simulation, 2004
Symbolic model order reduction (SMOR) is the problem of reducing a large circuit that contains symbolic circuit parameters to smaller low order models at its ports. Several methods, including symbol isolation, single frequency point reduction, and multiple frequency point reduction, are described and compared.
B.P. Hu, G. Shi, C.-J.R. Shi
openaire   +1 more source

Multilevel model order reduction

IEEE Microwave and Wireless Components Letters, 2004
We present a multilevel Model Order Reduction scheme for enhancing numerical analysis of electromagnetic fields by means of grid based techniques. The scheme allows one to create nested macromodels and combine macromodels with the Fast Frequency Sweep.
L. Kulas, M. Mrozowski
openaire   +1 more source