{ "cells": [ { "cell_type": "code", "execution_count": 4, "id": "7fc797ce", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "plt.rcParams[\"font.family\"] = \"D2Coding\"" ] }, { "cell_type": "markdown", "id": "a869c82a", "metadata": {}, "source": [ "# Linear Equation\n", "\n", "$$A\\cdot x = b$$\n", "\n", "* $A$: [m, n]\n", "* $b$: [m, 1]" ] }, { "cell_type": "code", "execution_count": null, "id": "3bed3d44", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a5239ed9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "8bd218a8", "metadata": {}, "source": [ "# SVD(Singular Value Decomposition)\n", "\n", "**why?**\n", "\n", "**what?**\n", "\n", "$$A = UWV^T$$\n", "\n", "* $U$: [m, n]\n", "* $W$: [n, n] diagonal with positive or zero\n", "* $V$: [n, n] orthogonal\n", "\n", "\n", "**properties**\n", "\n", "* orthonormality\n", "* uniqueness" ] }, { "cell_type": "code", "execution_count": null, "id": "563d7aec", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(4, 3)\n" ] }, { "data": { "text/plain": [ "array([[ 1., 0., -0.],\n", " [ 1., 1., -1.],\n", " [ 0., 1., -1.],\n", " [-1., 1., 1.]])" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "A = np.array([[1, 0, 0], [1, 1, -1], [0, 1, -1], [-1, 1, 1]])\n", "print(A.shape)\n", "U, S, Vh = np.linalg.svd(A, False)" ] }, { "cell_type": "markdown", "id": "fb89ad74", "metadata": {}, "source": [ "## Homogeneous\n", "\n", "\n", "## Nonhomogeneous\n", "\n", "\n" ] } ], "metadata": { "kernelspec": { "display_name": "2025-02-Numerical (3.12.11)", "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": "3.12.11" } }, "nbformat": 4, "nbformat_minor": 5 }