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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Применение одношаговых методов интегрирования высокого порядка точности для анализа установившихся периодических режимов в интегральных схемах

Проблемы разработки перспективных микро- и наноэлектронных систем (МЭС). 2018. № 1. С. 103–108.
Гурарий М. М., Жаров М. М., Русаков С. Г., Ulyanov S.

The application of conventional transient analysis to find the periodic steady-state solution often results in a long simulation time and hence special purpose means are needed. Unlike the transient analysis the periodic steady-state analysis solves a periodic boundary-value problem. The shooting-Newton method transforms the solution of the periodic boundary-value problem to the solution of sequence of initial value problems on one period of input signal. The initial value problem is solved using transient analysis. The efficiency of the method depends on both the computation of sensitivity matrix and the solution of linear system with dense Jacobian matrix. Another factor that determines the computational cost of the method is a numerical technique used to integrate differential equations on the period of input signal. To perform numerical integration of ordinary differential or differential-algebraic equations the comprehensive variable order and variable time step integration algorithms are used

Language: Russian
DOI
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Keywords: схемотехническое моделированиеboundary-value problemsкраевая задачаcircuit simulationустановившийся периодический режимperiodic steady stateshooting methodintegration methodsметод пристрелкиметоды интегрирования
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Added: February 12, 2019
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