Скачать или смотреть Network Theory & I/O Modeling | Module 1.4 – Linear Algebra: Matrix Operations

This lesson explains the fundamental operations for working with matrices. It covers addition, scalar multiplication, matrix multiplication, transposition, and the methods for finding the inverse and determinant of a matrix.
Exercises for each module, the lecture videos, and standalone slides can be downloaded for free from https://github.com/janweber91/Network...

This video is part of the course "Network Theory & I/O Modeling". This course offers a practical introduction to Network Theory and its application in Input-Output Modeling. It is designed for students, researchers, and anyone interested in heterodox economic modeling. The course is divided into four modules. Module 1 offers an introduction to basic linear algebra, Module 2 covers the fundamentals of graph theory and network representation, Module 3 focuses on graph analysis using key metrics like centrality and resilience, and Module 4 applies these concepts to economic input-output analysis. Exercises for each module, the lecture videos, and standalone slides can be downloaded for free from https://github.com/janweber91/Network... The course was developed by Dr. Jan David Weber with support from Caspar Löffler-Patterson and is a project of the Institute for Socioeconomics at the University of Duisburg-Essen (UDE). The course development was made possible by funding and friendly support from the UDE University Library.