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Mathematical Analysis of Chemical Reaction Systems [PDF]
The use of mathematical methods for the analysis of chemical reaction systems has a very long history, and involves many types of models: deterministic versus stochastic, continuous versus discrete, and homogeneous versus spatially distributed.
Polly Y. Yu, G. Craciun
semanticscholar +1 more source
The aim of this study is to evaluate students’ achievements in mathematics using three machine learning regression methods: classification and regression trees (CART), CART ensembles and bagging (CART-EB) and multivariate adaptive regression splines ...
Snezhana Gocheva-Ilieva+2 more
doaj +1 more source
On Local Unique Solvability for a Class of Nonlinear Identification Problems
Nonlinear identification problems for evolution differential equations, solved with respect to the highest-order Dzhrbashyan–Nersesyan fractional derivative, are studied.
Vladimir E. Fedorov+2 more
doaj +1 more source
The Mathematics of Compositional Analysis
The term compositional data analysis is historically associated to the approach based on the logratio transformations introduced in the eighties. Two main principles of this methodology are scale invariance and subcompositional coherence. New developments and concepts emerged in the last decade revealed the need to clarify the concepts of compositions,
Barceló i Vidal, Carles+1 more
openaire +6 more sources
On Strongly Continuous Resolving Families of Operators for Fractional Distributed Order Equations
The aim of this work is to find by the methods of the Laplace transform the conditions for the existence of a strongly continuous resolving family of operators for a linear homogeneous equation in a Banach space with the distributed Gerasimov–Caputo ...
Vladimir E. Fedorov, Nikolay V. Filin
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MATHEMATICAL MODELS FOR COVID-19 PANDEMIC: A COMPARATIVE ANALYSIS [PDF]
COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years. Its economic, social and health impact continues to grow and is likely to end up as one of the worst global disasters since the 1918 pandemic and the World Wars ...
A. Adiga+5 more
semanticscholar +1 more source
Understanding Slow Feature Analysis: A Mathematical Framework [PDF]
Slow feature analysis is an algorithm for unsupervised learning of invariant representations from data with temporal correlations. Here, we present a mathematical analysis of slow feature analysis for the case where the input-output functions are not ...
Sprekeler, Henning+1 more
core +1 more source
Cluster analysis and mathematical programming [PDF]
Given a set of entities, Cluster Analysis aims at finding subsets, called clusters, which are homogeneous and/or well separated. As many types of clustering and criteria for homogeneity or separation are of interest, this is a vast field. A survey is given from a mathematical programming viewpoint.
Hansen, Pierre, Jaumard, Brigitte
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A comprehensive overview of genomic imprinting in breast and its deregulation in cancer
In growth and development genomic imprinting is important in regulating gene expression. Here, the authors study loss of imprinting (LOI) in cancer, developing a mixture model to detect monoallelically expressed loci without genotyping data - applying ...
Tine Goovaerts+6 more
doaj +1 more source
When studying electrochemical systems, EIS practitioners face the challenge of choosing a relevant equivalent electrical circuit to analyze their measurement data and interpreting the role of its components.
Maxime Van Haeverbeke+2 more
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