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Optimization methods based on decision diagrams for constraint programming, AI planning, and mathematical programming
(2023)
Decision diagrams (DDs) are graphical structures that can be used to solve discrete optimization problems by representing the set of feasible solutions as paths in a graph. This graphical encoding of the feasibility set ...
GRB Hubble diagram and constraints on a ??(t) CDM model
(Oxford journals, 2013)
GRB Hubble diagram and constraints on a Λ(t) CDM model
(Oxford journalsBrasil, 2013)
In previous papers, a cosmological model with constant rate particle creation and vacuum term decaying linearly with the Hubble parameter was shown to lead to a good concordance when tested against precise observations: ...
The Carnegie Supernova Project: First Near-Infrared Hubble Diagram to z ~ 0.7
(2009)
The Carnegie Supernova Project (CSP) is designed to measure the luminosity distance for Type Ia supernovae (SNe Ia) as a function of redshift, and to set observational constraints on the dark energy contribution to the ...
Effect of the cube orientation on formability for FCC materials: a detailed comparison between full-constraint and self-consistent predictions
(Elsevier, 2014-10)
A rate-dependent self-consistent (VPSC) polycrystal-plasticity model, in conjunction with the MK approach, has been used successfully to address and explain plastic deformation features and localization conditions that ...
Helium enhancement among horizontal-branch stars and the near-UV color-magnitude diagrams
(2015)
The distribution of horizontal branch stars in globular cluster color-magnitude diagrams is a sensitive probe of their original helium abundances. In this sense, they have been extensively used recently as indicators of ...
Constraints on helium enhancement in the globular cluster m4 (NGC 6121): the horizontal branch test
(American Astronomical Society, 2020)
Optimization Methods Based on Decision Diagrams for Constraint Programming, AI Planning, and Mathematical Programming
(2021)
Decision diagrams (DDs) are graphical structures that can be used to solve discrete optimization problems by representing the set of feasible solutions as paths in a graph. This graphical encoding of the feasibility set ...