{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Table of contents" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Course instructor: **\n", "Ivan Oseledets\n", "\n", "** TAs:**\n", "Maxim Rakhuba,\n", "Marina Munkhoeva,\n", "Alexandr Katrutsa,\n", "Artem Nikitin,\n", "Valentin Khrulkov,\n", "Daniil Merkulov,\n", "Evgeny Ponomarev" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "| Week | Lecture notebooks | Supplementary materials | Homework | Tests |\n", "|:------:|:----------|:----------|:----------|-------|\n", "|1| [General info](lectures/lecture-0.ipynb)
[Lecture 1 (Floating-point arithmetic, vector norms)](lectures/lecture-1.ipynb)
[Lecture 2 (Matrix norms, unitary matrices)](lectures/lecture-2.ipynb)
[Lecture 3 (Matvecs and matmuls, memory hierarchy, Strassen algorithm)](lectures/lecture-3.ipynb) | [Lecture 2 notes](lectures/notes/Nla2017-lec2.pdf)
[Notes on derivatives](lectures/notes/seminar_cookbook.pdf)
[Python tutorial](./lectures/Python_Intro.ipynb)
[Matrix Cookbook](./matrixcookbook.pdf) | [Requirements](hw.pdf)
[Problem set 1](psets/pset1.ipynb)
Deadline: 12/11/17 (11:59 pm) | | \n", "|2| [Lecture 4 (Skeleton decomposition, SVD and its applications)](lectures/lecture-4.ipynb)
[Lecture 5 (Linear systems)](./lectures/lecture-5.ipynb) | [SVD RecSys demo](./lectures/SVD_RecSys.ipynb) | | |\n", "|3| [Lecture 6 (Eigenvalues and eigenvectors)](lectures/lecture-6.ipynb)
[Lecture 7 (More about the QR decomposition, QR algorithm)](./lectures/lecture-7.ipynb)
[Lecture 8 (More about QR algorithm, eigendecomposition algorithms, SVD algorithms)](./lectures/lecture-8.ipynb) | [Problem Set 1 submissions stats](./lectures/HW1_submissions.ipynb) |[Problem set 2](psets/pset2.ipynb)
Deadline: 26/11/17 (11:59 pm) | |\n", "|4| [Lecture 9 (Sparse linear algebra. Part 1)](./lectures/lecture-9.ipynb)
[Lecture 10 (Sparse linear algebra. Part 2. Basic iterative methods)](./lectures/lecture-10.ipynb)
[Lecture 11 (Krylov subspace iterative methods)](./lectures/lecture-11.ipynb)||||\n", "|5| [Lecture 12 (More Krylov methods and preconditioning)](./lectures/lecture-12.ipynb)
[Lecture 13 (Iterative methods for eigenvalues)](./lectures/lecture-13.ipynb)
Midterm test | | [Problem set 3](./psets/pset3.ipynb)
Deadline: 10/12/17 (11:59 pm) | [Rules and list of problems for the midterm test](problems-midterm-test.pdf)
(to be held on 01/12/17)\n", "|6| [Lecture 14 (Structured matrices: circulants, Toeplitz matrices, Fourier transform)](./lectures/lecture-14.ipynb)
[Lecture 15 (Matrix functions and matrix equations)](./lectures/lecture-15.ipynb)
[Lecture 16 (Tensors and tensor decompositions)](./lectures/lecture-16.ipynb)||||\n", "|7| | | | [List for exam questions](./exam/exam_questions.pdf)| " ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.4" }, "nav_menu": {}, "toc": { "navigate_menu": true, "number_sections": true, "sideBar": true, "threshold": 6, "toc_cell": false, "toc_section_display": "block", "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 1 }