АППРОКСИМАЦИЯ СИЛЫ СОПРОТИВЛЕНИЯ ВОЗДУХА ДВИЖЕНИЮ СНАРЯДОВ АНАЛИТИЧЕСКИМИ ФУНКЦИЯМИ
В статтье проводится выбор и обоснование аналитических функций, которые используются для описания силы сопротивления воздуха. Рассматриваются характерные участки и особенности изменения функций сопротивления воздуха в зависимосты от скорости полета ...
Volodymir I. Grabchac +2 more
doaj
General Approach to Function Approximation
Applying a predefined set of functionals to a function provides a set of numbers which characterize the function. One can then interpret an approximation very generally as a construction of some function form which reproduces these numbers if the same ...
Andrej Liptaj
doaj +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Analytic Function Approximation by Path-Norm-Regularized Deep Neural Networks. [PDF]
Beknazaryan A.
europepmc +1 more source
On the Bounds of Function Approximations [PDF]
Accepted as a full paper at ICANN 2019.
openaire +2 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Approche variationnelle de la fonction rang : relaxation convexe, sous-différentiation généralisée, régularisation-approximation de Moreau [PDF]
Dans ce mémoire de these, nous étudions la fonction rang du point de vue variationnel. La raison pour laquelle nous nous intéressons à cette fonction est qu'elle apparaît comme une fonction objectif (ou comme fonction contrainte) dans divers problèmes d ...
Le, Hai Yen
core
Coherency-Constrained Spectral Clustering for Power Network Reduction
This paper presents a methodology for reducing the complexity of large-scale power network models using spectral clustering, aggregation of electrical components, and cost function approximation.
Mario D. Baquedano-Aguilar +2 more
doaj +1 more source
Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview. [PDF]
Takeshima H.
europepmc +1 more source
Approximation by Step Functions [PDF]
i.e., of approximating a given matrix (aik) by a matrix of the particular type (Xi+yk), has proved to be very efficient. It is the "leveling process" [1; 2; 3] which roughly speaking for problem (1) consists in an alternatively repeated minimizing within the sets Ai (in problem (2) the rows and columns).
openaire +1 more source

