Gallery — Lecture Notes

Course notes for MATH 524: Non-linear optimization Course page: people.math.sc.edu/blanco/ma524.html University of South Carolina

This is a project to develop students' understanding of Newton's Method using the tools available in Geogebra. This project was adapted from a similar project developed by folks at Grand Valley State University. (If any of you see this and would like more specific attributions, please let me know.)

In this tutorial, we are going to introduce python-igraph that is packages for network analysis. igraph provides a huge amount of facilities for those who want to do any analysis on networks, from elementary aspects to advanced ones like shortest path, community detection and clustering, network traffic analysis and so forth. In this tutorial, we are going to introduce igraph by a real-life example which is finding a route in Australian road network between two Australian cities with minimum duration.

Guía de presentación de trabajos

Collection of statistics formulae taken from the perennial text book Lind, Douglas A. et. al. (2015): Statistical Techniques in Business and Economics, 16 ed. (2015).

A study tool. Equations are mostly listed without a description of what they represent. Topics are detailed based on problems. Usage: To prepare for the Calculus BC exam, go through topics one at a time and mentally describe the problem, process, and equations involved. If you get stuck - look up the answer and start again from the top. When you can get through the entire sheet - you're ready! Do the same with the equation list - describing exactly what type of problems you might need the equation for. Do not use notes in conjunction with the review sheet. Look up the answer - close the book and start again! You can thank me later.

Álgebra Linear II

A concise guide for anyone that's met with the terrible fate of having to program in Clean (so mainly for Radboud University students).

In this note, we will show how transformations can be used to obtain a radically simple derivation of the equation of the line of best fit. Our approach also gives a simple geometric interpretation of the Pearson correlation coefficient.