Results 131 to 140 of about 138,114 (286)
Markoff process and the Dirichlet problem
Proceedings of the Japan Academy, Series A, Mathematical Sciences, 1945 Not ...
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Transformations of Difference Equations II
Advances in Difference Equations, 2010 This is an extension of the work done by Currie and Love (2010) where we studied the effect of applying two Crum-type transformations to a weighted second-order difference equation with non-eigenparameter-dependent boundary conditions at the end points.
Currie Sonja, Love AnneD
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Reliability measures in knowledge structure theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
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Similarity of solution branches for two-point semilinear problems
Electronic Journal of Differential Equations, 2003 For semilinear autonomous two-point problems, we show that all Neumann branches and all Dirichlet branches with odd number of interior roots have the same shape. On the other hand, Dirichlet branches with even number of roots may look differently.
Philip Korman
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From tetrachoric to kappa: How to assess reliability on binary scales
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
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British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
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Subfunctions and the Dirichlet problem [PDF]
Pacific Journal of Mathematics, 1958 openaire +2 more sources
Cancer Science, EarlyView.Spatial transcriptomics and bulk RNA‐seq data analysis revealed the molecular characteristics of invasive lobular carcinoma (ILC). ILC was classified into three clusters: proliferative, immunoreactive, and stromal‐rich, with different prognoses. ABSTRACT Invasive lobular carcinoma (ILC) is a special type of breast cancer.
Momoko Tokura +9 more
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Hierarchical Differentiable Fluid Simulation
Computer Graphics Forum, EarlyView.We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
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Real‐Time Conformal Maps and Parameterizations
Computer Graphics Forum, EarlyView.Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
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