Results 291 to 300 of about 69,240 (308)

New R-implication generated by T-partial order

Computational and Applied Mathematics
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Dynamic Partial Orders and Generalized Heaps

1990
Dynamic Partial Orders and Generalized Heaps. Classical and recent results are surveyed in the development of efficient representations of dynamic partial orders by heaps and their generalizations.
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A generalized model companion for a theory of partially ordered fields

Journal of Symbolic Logic, 1979
The notion of a model companion for a first-order theory T was introduced and discussed in [1] and [2] as a generalization of the concept of a model completion of a theory. Both concepts reflect, on a general model theoretic level, properties of the theory of algebraically closed fields.
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Mechanism of gating and partial agonist action in the glycine receptor

Cell, 2021
Hongtao Zhu, Remigijus Lape, Timo Greiner   +2 more
exaly  

Generating All Forest Extensions of a Partially Ordered Set

2003
Let P and P′ be partially ordered sets, with ground set E, |E| = n, and relation sets R and R′, respectively. Say that P′ is an extension of P when R ⊆ R′. A partially ordered set is a forest when the set of ancestors of any given element forms a chain. We describe an algorithm for generating the complete set of forest extensions of an order P.
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Factors governing partial coalescence in oil-in-water emulsions

Advances in Colloid and Interface Science, 2010
Koen Dewettinck
exaly  

Comparison of permutation methods for the partial correlation and partial mantel tests

Journal of Statistical Computation and Simulation, 2000
Pierre Legendre
exaly  

Performance improvement of solar PV array topologies during various partial shading conditions

Solar Energy, 2020
Winston David, B Praveen Kumar, S Devakirubakaran   +2 more
exaly  

Eta squared and partial eta squared as measures of effect size in educational research

Educational Research Review, 2011
John T E Richardson
exaly  

A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling

Organizational Research Methods, 2013
Mikko Ronkko, Joerg Evermann
exaly