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David G. Kirkpatrick

David Galer Kirkpatrick is a professor of computer science at the University of British Columbia. He is known for the Kirkpatrick–Seidel algorithm… 
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Related topics

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6 relations
Beta skeletonComputer scienceConvex hull algorithmsKirkpatrick–Seidel algorithm

Papers overview

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Highly Cited
2013
Highly Cited
2013
The free energy in a multi-species Sherrington-Kirkpatrick model
The authors of [Ann. Henri Poincar\'{e} 16 (2015) 691-708] introduced a multi-species version of the Sherrington-Kirkpatrick… 
Highly Cited
2011
Highly Cited
2011
The role teachers' expectations and value assessments of video games play in their adopting and integrating them into their classrooms
Video games have become an essential part of the way people play and learn. While an increasing number of people are using games… 
Review
2004
Review
2004
DO ORGANIZATIONAL SOCIALIZATION TACTICS INFLUENCE NEWCOMER EMBEDDEDNESS AND TURNOVER
Despite research suggesting socialization tactics can affect turnover, meta-analytic reviews of turnover antecedents do not… 
Highly Cited
2003
Highly Cited
2003
An intercomparison and evaluation of aircraft-derived and simulated CO from seven chemical transport models during the TRACE-P experiment
[1] Four global scale and three regional scale chemical transport models are intercompared and evaluated during NASA's Transport… 
Highly Cited
1999
Highly Cited
1999
Rigor or Rigor Mortis? Rational Choice and Security Studies
T h e past decade has witnessed a growing controversy over the status of formal approaches in political science, and especially… 
Highly Cited
1999
Highly Cited
1999
Toward an evolutionary psychology of religion and personality
Evolutionary psychology is an emerging paradigm for the social sciences that offers a powerful metatheoretical framework for… 
Highly Cited
1998
Highly Cited
1998
Dynamically figured Kirkpatrick Baez x-ray microfocusing optics
We present the optical designs, modeling, bender design and test results of x-ray micro- focusing optics used to micro-focus… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1987
Highly Cited
1987
Algorithms for the maximum satisfiability problem
Old and new algorithms for the Maximum Satisfiability problem are studied. We first summarize the different heuristics previously… 
Highly Cited
1987
Highly Cited
1987
Using simulated annealing to design good codes
Simulated annealing is a computational heuristic for obtaining approximate solutions to combinatorial optimization problems. It… 
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