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Результаты поиска по запросу «indefinite integral»

28 результатов

Интегралы от рациональных функций

2026СправочникSergey

Справочная таблица неопределённых интегралов от рациональных выражений, включая квадратичные знаменатели и разложение на простейшие дроби.
0
290

Интегралы, содержащие корни

2026СправочникSergey

Справочная таблица неопределённых интегралов от выражений с квадратными корнями и иррациональностями.
0
260

Список основных интегралов

2026СправочникSergey

Справочная таблица основных неопределённых интегралов от элементарных функций: степенной, показательной, логарифмической и тригонометрических.
1
270

A curiosity: “supersmooth” varieties

2026ТеорияSean Cotner

A rigidity condition on schemes, strictly stronger than smoothness, introduced with examples and a look at where it fails to be geometric — no known application, just a curiosity.
1
120

IMO 1991

2026Листок задач

International mathematics competition for pre-university students, held annually since 1959. Six problems over two days.
0
350

IMO 1994

2026Листок задач

International mathematics competition for pre-university students, held annually since 1959. Six problems over two days.
0
410

IMO 2023

2026Листок задач

64th International Mathematical Olympiad. Chiba, Japan, 2023.
0
430

Квадратичные формы

2026ТеорияSergey

Квадратичные формы и их матрица, знакоопределённость, критерий Сильвестра и канонический вид.
0
160

Convergence of the Algorithm of Additive Regularization of Topic Models

2021Журнальная статьяI. A. Irkhin, K. V. Vorontsov

Proceedings of the Steklov Institute of Mathematics

The problem of probabilistic topic modeling is as follows. Given a collection of text documents, find the conditional distribution over topics for each document and the conditional distribution over words (or terms) for each topic. Log-likelihood maximization is used to solve this problem. The problem generally has an infinite set of solutions and is ill-posed according to Hadamard. In the framework of Additive Regularization of Topic Models (ARTM), a weighted sum of regularization criteria is added to the main log-likelihood criterion. The numerical method for solving this optimization problem is a kind of an iterative EM-algorithm written in a general form for an arbitrary smooth regularizer as well as for a linear combination of smooth regularizers. This paper studies the problem of convergence of the EM iterative process. Sufficient conditions are obtained for the convergence to a stationary point of the regularized log-likelihood. The constraints imposed on the regularizer are not too restrictive. We give their interpretations from the point of view of the practical implementation of the algorithm. A modification of the algorithm is proposed that improves the convergence without additional time and memory costs. Experiments on a news text collection have shown that our modification both accelerates the convergence and improves the value of the criterion to be optimized.
0
3

IMO 2014

2026Листок задач

55th International Mathematical Olympiad. Cape Town, South Africa, 2014.
0
330

IMO 1971

2026Листок задач

International mathematics competition for pre-university students, held annually since 1959. Six problems over two days.
0
180

IMO 1975

2026Листок задач

International mathematics competition for pre-university students, held annually since 1959. Six problems over two days.
0
220

IMO 1982

2026Листок задач

International mathematics competition for pre-university students, held annually since 1959. Six problems over two days.
0
240