نتایج جستجو برای: reduction method

تعداد نتایج: 2049822  

2013
Samantha L. Taylor Harriet Crawley-Snowdon Jane L. Wagstaff Michelle L. Rowe Mark Shepherd Richard A. Williamson Mark J. Howard

NMR spectroscopy was used to measure reduction potentials of four redox proteins by following multiple (15)N HSQC protein resonances across a titration series using mixtures of oxidised and reduced glutathione. Results for PDI a, PDI ab and DsbA agree with the literature and our result for ERp18 confirms this protein as an oxidoreductase of comparable or greater reducing strength than PDI a.

2009
M. B. Giles

We show how the benefits of the pathwise sensitivity approach to computing Monte Carlo Greeks can be extended to discontinuous payoff functions through a combination of the pathwise approach and the Likelihood Ratio Method. With a variance reduction modification, this results in an estimator which for timestep h has a variance which is O(h−1/2) for discontinuous payoffs and O(1) for continuous ...

Journal: :Analytical sciences : the international journal of the Japan Society for Analytical Chemistry 2005
Gregory J Edens

Equations are presented by which potential-volume data from redox titrations can be analyzed. Mixtures of analytes as well as of titrants may be analyzed, yielding for each component its concentration, number of electrons, and reduction potential. A novel weighting function ensures endpoint accuracy in fitting. Standard deviation of each parameter is obtained. The equations can be readily imple...

2009
Rong-Qing Jia Hanqing Zhao Wei Zhao Charles K. Chui

Article history: Available online 13 May 2009 Communicated by Charles K. Chui on 3 October 2008

2003
Roberto Szechtman

In this paper we present an overview of classical results about the variance reduction technique of control variates. We emphasize aspects of the theory that are of importance to the practitioner, as well as presenting relevant applications.

2004
Dimitris Achlioptas

We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certain kernel methods.

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