Results 1 to 10 of about 229,954 (168)
Observational constraints on the jerk parameter with the data of the Hubble parameter [PDF]
European Physical Journal C: Particles and Fields, 2018 We study the accelerated expansion phase of the universe by using the kinematic approach. In particular, the deceleration parameter q is parametrized in a model-independent way.
Abdulla Al Mamon, Kazuharu Bamba
doaj +3 more sources
An Adaptive Multiparameter Penalty Selection Method for Multiconstraint and Multiblock ADMM [PDF]
IEEE Open Journal of Signal ProcessingThis work presents a new method for online selection of multiple penalty parameters for the alternating direction method of multipliers (ADMM) algorithm applied to optimization problems with multiple constraints or functions with block matrix components.
Luke Lozenski +2 more
doaj +2 more sources
Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method
ISPRS International Journal of Geo-Information, 2021 Intelligent geoprocessing relies heavily on formalized parameter constraints of geoprocessing tools to validate the input data and to further ensure the robustness and reliability of geoprocessing.
Zhi-Wei Hou +6 more
doaj +1 more source
Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters
Entropy, 2021 Maximum a posteriori estimation (MAP) with Dirichlet prior has been shown to be effective in improving the parameter learning of Bayesian networks when the available data are insufficient.
Ruohai Di +3 more
doaj +1 more source
Mathematics, 2023 In the current study, the concatenation model of birefringent fibers is explored for the first time, and we present optical soliton solutions to the model.
Anjan Biswas +5 more
doaj +1 more source
Bayesian network parameter learning algorithm based on improved QMAP
Xibei Gongye Daxue Xuebao, 2021 Small data sets make the statistical information in Bayesian network parameter learning inaccurate, which makes it difficult to get accurate Bayesian network parameters based on data.
Di Ruohai +4 more
doaj +1 more source
Inverse optimization for the recovery of constraint parameters [PDF]
European Journal of Operational Research, 2020 Most inverse optimization models impute unspecified parameters of an objective function to make an observed solution optimal for a given optimization problem with a fixed feasible set. We propose two approaches to impute unspecified left-hand-side constraint coefficients in addition to a cost vector for a given linear optimization problem.
Timothy C. Y. Chan, Neal Kaw
openaire +2 more sources
Parameter Optimization of Milling Process for Surface Roughness Constraints
Journal of Harbin University of Science and Technology, 2023 In the milling process of 6061 aluminum considering the requirement of controlling the surface roughness of workpiece, artificially selected milling parameters may be conservative, resulting in low material removal rate and high manufacturing cost ...
GUO Bin +5 more
doaj +1 more source
Cosmological Constraints on Mirror Matter Parameters [PDF]
Advances in High Energy Physics, 2014 Up-to-date estimates of the cosmological parameters are presented as a result of numerical simulations of cosmic microwave background and large scale structure, considering a flat Universe in which the dark matter is made entirely or partly of mirror matter, and the primordial perturbations are scalar adiabatic and in linear regime.
Paolo Ciarcelluti, Quentin Wallemacq
openaire +3 more sources
Hubble Parameter Measurement Constraints on Holographic Dark Energy [PDF]
EPJ Web of Conferences, 2019 We review and attempt to constrain the ΛCDM and XCDM models using 26 Hubble parameter against redshift data points from [1], [2], [3], [4] and [5]. Also known as the cosmic chronometers approach, these constraints are now almost as restrictive as or less
Lum You Sheng Plato, Ng Shao Chin Cindy
doaj +1 more source