نتایج جستجو برای: barnes

تعداد نتایج: 2681  

Journal: :Kyushu Journal of Mathematics 2013

Journal: :JAMA network open 2021

Valerie M. Vaughn, MD, MSc; Monica Yost, MPH; Chelsea Abshire, Scott A. Flanders, MD; David Paje, Paul Grant, Kaatz, DO, Tae Kim, MHSA; Geoffrey D. Barnes, MSc

2008
M. SPREAFICO

We present a complete description of the analytic properties of the Barnes double zeta and Gamma functions.

Journal: :Synthese Library 2022

This chapter argues that quantum indeterminacy can be construed as a merely derivative phenomenon. The possibility of undermines both recent argument against due to David Glick, and an the Elizabeth Barnes.

2017
Christopher Noel Barnes Shesh N. Rai Jason Chesney Seong Kim Inessa Levi Ziad Kanaan Susan Galandiuk Christopher N. Barnes

A PHASE II TWO STAGE CLINICAL TRIAL DESIGN TO HANDLE LATENT HETEROGENEITY FOR A BINARY RESPONSE Christopher N. Barnes

1995
William A. Brock Pedro J. F. de Lima

We would like to thank Michelle Barnes, Craig Hiemstra and Blake LeBaron for their helpful comments. The usual disclaimer applies.

2000
Margarita Amor Francisco Argüello Juan López Oscar G. Plata Emilio L. Zapata

This paper presents a data{parallel formulation for N?body simulations using the Barnes-Hut method. The tree-structured problem is rst linearized by using space{{lling curves. This process allows us to use standard data distributions and parallel array operations available in data-parallel languages. A new eecient HPF implementation of the Barnes-Hut method is presented in this paper, character...

2013
Ross Adelman

where G is the gravitational constant, rnk = xk − xn, and rnk = |rkn|. Since this expression is evaluated for each body separately, and the expression contains a sum over every other body, a direct computation of the forces would require O (N). For large problems, such as those containing more than a few thousand bodies, this can be prohibitive. Therefore, a faster algorithm is needed. The Barn...

Journal: :Journal of Machine Learning Research 2014
Laurens van der Maaten

The paper investigates the acceleration of t-SNE—an embedding technique that is commonly used for the visualization of high-dimensional data in scatter plots—using two treebased algorithms. In particular, the paper develops variants of the Barnes-Hut algorithm and of the dual-tree algorithm that approximate the gradient used for learning t-SNE embeddings in O(N logN). Our experiments show that ...

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