Results 1 to 10 of about 11,753 (91)
Among the few works realising the search of truncated differentials (TD) and multidimensional linear approximations (MDLA) holding for sure, the optimality of the distinguisher should be confirmed via an exhaustive search over all possible input ...
Ling Sun +3 more
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Lagged effect of temperature and rainfall on malaria incidence in Colombia (2013-2023): An approach with Bayesian spatiotemporal adjustment. [PDF]
Malaria remains a major public health challenge in Colombia, with a significant increase in cases in recent years. Climate variables-particularly temperature and rainfall-are key drivers of malaria transmission, yet their lagged, non-linear effects ...
Juan David GutiƩrrez
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Exact method to solve of linear heat transfer problems [PDF]
When approximating multidimensional partial differential equations, the values of the grid functions from neighboring layers are taken from the previous time layer or approximation.
Abdullayev Akmaljon +2 more
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Statistical Model of Correlation Difference and Related-Key Linear Cryptanalysis
The goal of this work is to propose a related-key model for linear cryptanalysis. We start by giving the mean and variance of the difference of sampled correlations of two Boolean functions when using the same sample of inputs to compute both ...
Kaisa Nyberg
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ashur, Tomer +3 more
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Piecewise-Linear Approximations of Multidimensional Functions [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Misener, R, Floudas, CA
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Summary: Transcriptomic analysis plays a key role in biomedical research. Linear dimensionality reduction methods, especially principal-component analysis (PCA), are widely used in detecting sample-to-sample heterogeneity, while recently developed non ...
Yang Yang +10 more
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A Convolution-Based Shearlet Transform in Free Metaplectic Domains
The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is to introduce a
Tarun K. Garg +3 more
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The authors introduce the space \(BV^{\varphi}(\mathbb{R}^N)\) of functions of bounded \(\varphi\)-variation in the sense of Tonelli and the \(\varphi\)-modulus of smoothness \(\omega_{\varphi}(f,\delta)\) for the functions \(f\) defined on \(\mathbb{R}^N\).
ANGELONI, Laura, VINTI, Gianluca
+4 more sources
Using Parameter Elimination to Solve Discrete Linear Chebyshev Approximation Problems
We consider discrete linear Chebyshev approximation problems in which the unknown parameters of linear function are fitted by minimizing the least maximum absolute deviation of errors.
Nikolai Krivulin
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