Results 61 to 70 of about 9,395,905 (186)

Benchmarking optimization methods for parameter estimation in large kinetic models

open access: yes, 2018
Software to reproduce the results presented in the paper "Benchmarking optimization methods for parameter estimation in large kinetic models". It includes two MATLAB toolboxes: AMICI and MEIGO, as well as MATLAB code to define the optimizations and to ...
Alejandro F. Villaverde   +20 more
core   +1 more source

A Hybrid and Parameter-Free Clustering Algorithm for Large Data Sets

open access: yesIEEE Access, 2019
As an important unsupervised learning method, clustering can find the hidden structures in data effectively. With the amount of data grows larger, clustering of large data sets is a challenging task. Many clustering algorithms have been developed to deal
Hengkang Shao   +4 more
doaj   +1 more source

Parameter Redundancy with Applications in Statistical Ecology [PDF]

open access: yes, 2014
This thesis is concerned with parameter redundancy in statistical ecology models. If it is not possible to estimate all the parameters, a model is termed parameter redundant.
Hubbard, Ben Arthur
core  

Model Reduction of LPV Control with Bounded Parameter Variation Rates [PDF]

open access: yes, 2006
This paper proposes a reduced-order controller of linear parameter varying systems. The parameters are available for measurement while their ranges and rates of variation are assumed to be bounded.
Riyanto, T. Bambang, Widowati, Widowati
core   +1 more source

Parameter estimation in an atmospheric GCM using the Ensemble Kalman Filter [PDF]

open access: yes, 2005
We demonstrate the application of an efficient multivariate probabilistic parameter estimation method to a spectral primitive equation atmospheric GCM.
Annan, J   +3 more
core  

Large-Parameter Asymptotic Expansions for the Legendre and Allied Functions

open access: yesSIAM Journal on Mathematical Analysis, 2020
Surprisingly, apart from some special cases, simple asymptotic expansions for the associated Legendre functions $P_ν^μ(z)$ and $Q_ν^μ(z)$ for large degree $ν$ or large order $μ$ are not available in the literature. The main purpose of the present paper is to fill this gap by deriving simple (inverse) factorial expansions for these functions and provide
Gergö Nemes, Adri B. Olde Daalhuis
openaire   +5 more sources

Fast figuring of large optics by reactive atom plasma [PDF]

open access: yes, 2012
The next generation of ground-based astronomical observatories will require fabrication and maintenance of extremely large segmented mirrors tens of meters in diameter.
Renaud Jourdain   +7 more
core   +1 more source

"Patterns of Non-exponential Growth of Macroeconomic Models: Two-parameter Poisson-Dirichlet Models" [PDF]

open access: yes
This paper discusses non-exponential growth patterns of macroeconomic models. More specifically, the paper discusses asymptotic growth patterns of the numbers of clusters and of components of partition vectors, that is, the number of clusters of specific
Masanao Aoki
core  

A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons [PDF]

open access: yes, 2012
Traditional approaches to the problem of parameter estimation in biophysical models of neurons and neural networks usually adopt a global search algorithm (for example, an evolutionary algorithm), often in combination with a local search method (such as ...
Aston, John A. D.   +16 more
core   +2 more sources

Parameter Estimation in Large Causal Models.

open access: yes, 2004
Contains fulltext : 60099.pdf (Author’s version preprint ) (Open Access)
Jurgelenaite, R., Lucas, P.J.F.
openaire   +2 more sources

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