Linear Algebra

Decompositions, Eigen Values and Eigen Vectors

Numpy is an efficient library used for faster computations and calculations in Python and it supports many of operations, Here we going to see about Decompositions of Matrics and also simplest way to find the Eigen values and Eigen vectors of a given vector/ matrix.

numpy.linalg.cholesky
numpy.linalg.eig
numpy.linalg.eigh
numpy.linalg.eigvals
numpy.linalg.eigvalsh

The recommended way to run this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks.

!pip install jovian --upgrade -q

import jovian

jovian.commit(project='numpy-array-operations')

[jovian] Attempting to save notebook..
[jovian] Updating notebook "pavankumar42sn/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/pavankumar42sn/numpy-array-operations

'https://jovian.ml/pavankumar42sn/numpy-array-operations'

Let's begin by importing Numpy and listing out the functions covered in this notebook.