When moving edges of 3D models, linear algebra—specifically vectors (for direction/distance) and transformation matrices (for alignment)—is the most essential math. - **Vectors**: They define *how far* and *where* an edge moves (e.g., a vector (2, 0, -1) means shifting right 2 units, back 1 unit). - **Transformation matrices**: These keep the edge consistent with the rest of the model, preventing distortion during adjustments. For beginners, practice vector addition: Add a movement vector to the edge’s vertices (e.g., vertex (1, 3, 5) + (2, 0, -1) = (3, 3, 4)) to master simple, controlled moves.
