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41 results

IMO 2018

2026Problem sheet

59th International Mathematical Olympiad. Cluj-Napoca, Romania, 2018.
0
410

IMO 2022

2026Problem sheet

63rd International Mathematical Olympiad. Oslo, 2022.
0
410

Determinant

2026TheorySergey

The determinant of a square matrix — its meaning, minors and cofactors, Laplace expansion, and computation methods.
0
190

Properties of Determinants

2026TheorySergey

The basic properties of determinants with brief proofs, and their use in simplifying computations.
0
260

Matrix Rank

2026TheorySergey

Minors and the rank of a matrix, invariance of rank under elementary transformations, and a practical method for computing it.
0
190

Linear Operator

2026TheorySergey

A linear operator and its matrix, the action x' = Ax, similar matrices, and the formula B = C⁻¹AC.
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150

Eigenvectors and Eigenvalues

2026TheorySergey

Eigenvectors and eigenvalues, the characteristic equation, eigenspaces, and diagonalization of matrices.
0
170

The Steinberg Representation

2026TheorySean Cotner

An introduction to the Steinberg representation of a finite group of Lie type — its alternating-sum construction from parabolic inductions, worked out explicitly for SL_2.

0
270

Machine Learning 2. Lecture 3. Vector Representations of Texts and Graphs

2026LectureКонстантин Вячеславович Воронцов

Vector representations (embeddings) of texts and graphs: the distributional semantics hypothesis, syntagmatic and paradigmatic similarity of words, the CBOW and Skip-gram models of the word2vec program, hierarchical SoftMax on a Huffman tree, negative sampling (SGNS) and the connection of word2vec with the matrix factorisation of the PMI matrix, semantic analogies of words, the FastText model on character n-grams; texts as graphs; multidimensional scaling and the stress criterion, stochastic neighbour embedding SNE, perplexity, t-SNE; matrix factorisations of graphs, the random-walk models DeepWalk and node2vec; graph embedding methods as autoencoders, the generalised GraphEDM model, graph neural networks and message passing.
0
250

IMO 1961

2026Problem sheet

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

IMO 1997

2026Problem sheet

International mathematics competition for pre-university students, held annually since 1959. Six problems over two days.
0
200

IMO 2007

2026Problem sheet

48th International Mathematical Olympiad, 2007.
0
280

IMO 2013

2026Problem sheet

54th International Mathematical Olympiad. Colombia, 2013.
0
350

IMO 2014

2026Problem sheet

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

IMO 2017

2026Problem sheet

58th International Mathematical Olympiad. Rio de Janeiro, Brazil, 2017.
0
290

IMO 2020

2026Problem sheet

61st International Mathematical Olympiad, 2020.
0
260

The torsion component of the Picard scheme

2026OtherBogdan Zavyalov

Every finite flat commutative group scheme over a noetherian local ring is the torsion component of the Picard scheme of a smooth projective scheme with 3-dimensional fibers, built as a quotient of a complete intersection. An application: Hodge numbers that jump in a smooth projective family.
1
500

Some examples of algebraic groups

2026TheorySean Cotner

Two pathological phenomena for algebraic groups over general bases — a group degenerating between the multiplicative and additive group across a DVR, and a non-affine identity component — built as centralizers in SL_n.

0
180

Machine Learning 2. Adaptive Forecasting Methods

2026LectureКонстантин Вячеславович Воронцов

Time series forecasting problems: the time series model, the forecasting horizon, the least squares method; econometrics as the main source of problems — trends, seasonalities, change points; examples of forecasting sales volumes and electricity prices; the linear autoregression model; a brief survey of forecasting methods; adaptive short-term forecasting methods: the exponential moving average and the smoothing parameter, the models of Holt, Theil–Wage, Winters with linear and exponential trend, adaptive autoregression; the tracking signal and a statistical test of model adequacy, the Trigg–Leach model; adaptive selection and adaptive composition of models, the LAVR method — local adaptation of weights with regularisation, the monotonicity constraint as a regulariser; experiments on the sales forecasting problem.
0
140