2d

One matrix transformation in the 3D to a 2D transformation pipeline is the viewport transform where objects are transformed from normalized device coordinates (NDC) to screen coordinates (SC).

In short it's the transformation of numbers in the range [-1, 1] to numbers corresponding to pixels on the screen, which is a linear mapping computed with linear interpolation.
In this article I cover the math behind the generation of the viewport transformation matrix.

In Computer Graphics 3D objects created in an abstract 3D world will eventually need to be displayed in a screen, to view these objects in a 2D plane like a screen objects will need to be projected from the 3D space to the 2D plane with a transformation matrix.

In this article I cover two types of transformations: Orthographic projection and Perspective projection and analyze the math behind the transformation matrices.

One matrix transformation in the 3D to a 2D transformation pipeline is the view transform where objects are transformed from world space to view space. a transformation matrix.

In this article I cover the math behind the generation of this transformation matrix.

We build different types of transformation matrices to translate objects along cardinal axes, arbitrary axes in 2d and 3d with matrix multiplication!

Shearing is a transformation that skews the coordinate space, the idea is to add a multiple of one coordinate to the other

The basics of rotation in 2d and 3d for computer graphics with a focus on 3d rotation about cardinal axes and 3d rotation with quaternions.

For quaternions, please also look at https://eater.net/quaternions amazing animations!

We build different types of transformation matrices to scale objects along cardinal axes, arbitrary axes in 2d and 3d with matrix multiplication!

A linear transformation can be represented with a matrix which transforms vectors from one space to another. Transformation matrices allow arbitrary transformations to be displayed in the same format. Also matrices can be multiplied to enable composition. This article covers how to think and reason about these matrices and the way we can represent them (row vectors vs column vectors).