Exercises aimed at exploring linear algebra concepts, as well as exercises to practice writing Python code. Instruction on the basic use of NumPy, SciPy, and Matplotlib. The code supplied …

Understand the fundamentals of linear algebra, a ubiquitous approach for solving for unknowns within high-dimensional spaces. Develop a geometric intuition of what’s going on beneath the …

Linear algebra allows us to understand the operations and transformations used to manipulate and extract information from data. :::: {.frag} Examples :::: {.incremental}

The Jupyter Guide to Linear Algebra covers many of the core topics that would appear in an introductory course on linear algebra, together with several applications. The guide also …

Apr 10, 2025 · Notebooks include topics related to Linear Programming, Convex Optimization, and Transportation/Graph Algorithms. Jupyter Notebook Files Written in Python using the …

In this section we look at matrix algebra and some of its common properties. We will also see how operations involving matrices are connected to linear systems of equations. A matrix a is two …

Jupyter is a web application that allows users to create and share documents called notebooks. Jupyter notebooks can contain text, equations, and graphics, as well as live Python code with …

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We suggest you start with the Linear Programming Tutorial, which provides a strong foundation for linear programming and mixed-integer linear programming. Or you can dive right in and …

Linear programming (LP) is a method to provide an optimal solution to a problem defined by a set of linear constraints. It is very widely applied in engineering and science. A typical linear …