Approximation by Hidden Variable Fractal Functions: A Sequential Approach
Sign Up to like & getrecommendations! Published in 2019 at "Results in Mathematics"
DOI: 10.1007/s00025-019-1114-8
Abstract: The hidden variable fractal approximation is more diverse than classical fractal approximation. The main goal of the article is to establish new kind of hidden variable fractal approximants which possess convergence and non-differentiability simultaneously for… read more here.
Keywords: fractal functions; approximation; proposed hidden; hidden variable ... See more keywords
Compatibility of causal hidden-variable theories with a delayed-choice experiment
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review A"
DOI: 10.1103/physreva.100.012114
Abstract: Wheeler's delayed-choice experiment investigates the indeterminacy of wave-particle duality and the role played by the measurement apparatus in quantum theory. Due to the inconsistency with classical physics, it has been generally believed that it is… read more here.
Keywords: theory; delayed choice; choice experiment; choice ... See more keywords
Optimal no-go theorem on hidden-variable predictions of effect expectations
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DOI: 10.1103/physreva.97.032126
Abstract: No-go theorems assert that hidden-variable theories, subject to appropriate hypotheses, cannot reproduce the predictions of quantum theory. We examine two species of such theorems, value no-go theorems and expectation no-go theorems. The former assert that… read more here.
Keywords: optimal theorem; quantum theory; assert hidden; predictions quantum ... See more keywords
Dynamic hidden-variable network models.
Sign Up to like & getrecommendations! Published in 2021 at "Physical review. E"
DOI: 10.1103/physreve.103.052307
Abstract: Models of complex networks often incorporate node-intrinsic properties abstracted as hidden variables. The probability of connections in the network is then a function of these variables. Real-world networks evolve over time and many exhibit dynamics… read more here.
Keywords: network models; variable network; hidden variables; hidden variable ... See more keywords
SUPER COALESCENCE HIDDEN-VARIABLE FRACTAL INTERPOLATION FUNCTIONS
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DOI: 10.1142/s0218348x21500511
Abstract: In this paper, a new notion of super coalescence hidden-variable fractal interpolation function (SCHFIF) is introduced. The construction of SCHFIF involves choosing an IFS from a pool of several non-diagonal IFS at each level of… read more here.
Keywords: super coalescence; hidden variable; interpolation; coalescence hidden ... See more keywords
Hidden variable bivariate fractal interpolation functions and errors on perturbations of function vertical scaling factors
Sign Up to like & getrecommendations! Published in 2019 at "Asian-European Journal of Mathematics"
DOI: 10.1142/s1793557119500219
Abstract: In this paper, we present a construction of hidden variable bivariate fractal interpolation functions (HVBFIFs) with function vertical scaling factors and estimate errors of HVBFIFs on perturbation of the function vertical scaling factor. We construct… read more here.
Keywords: scaling factors; vertical scaling; hidden variable; function vertical ... See more keywords
Hidden variable models reveal the effects of infection from changes in host survival
Sign Up to like & getrecommendations! Published in 2023 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1010910
Abstract: The impacts of disease on host vital rates can be demonstrated using longitudinal studies, but these studies can be expensive and logistically challenging. We examined the utility of hidden variable models to infer the individual… read more here.
Keywords: hidden variable; disease; models reveal; variable models ... See more keywords