02 - Must-learn optimization concepts - Hyperplanes and halfspaces
In this video we will learn three different ways of understanding of a hyperplanes. The first way of understanding is analytical and the two other ones are geometrical. We will see a hyperplane is the solution set of a linear equation. Geometrically, it can be interpreted as an offset, plus all vectors orthogonal to the normal vector. We also learn that hyperplanes are affine sets. Once you learn the concept of a hyperplane you can easily understand a halfspace. Halfspaces are not affine sets but they are convex sets. Link to exercise 2.5 about hyperplanes: • Convex optimization book - solution - exer... Links to exercise 2.5, 2.6, and 2.7 about halfspaces: • Convex optimization book - solution - exer... • Convex optimization book - solution - exer... • Convex optimization book - solution - exer...

Orthogonal Projection Formulas (Least Squares) - Projection, Part 2

1. The Geometry of Linear Equations

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

What is a Hilbert Space?

01 - Must-learn optimization concepts – Affine set and its corresponding subspace.

NYC - Formula for Distance between Point and Hyperplane

Change of basis | Chapter 13, Essence of linear algebra

Penny Helps Sheldon Solve His Equation | The Big Bang Theory

Affine subspaces and transformations - 01 - affine combinations

Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors ( Continued 1)

Hyperplanes | Convex Set

What is...an affine space?

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

Convex sets I: Definition and examples

From Child Prodigy to Winning Fields Medal, Nobel of Math

Linear combinations and span | Vectors and spaces | Linear Algebra | Khan Academy

03 - Must-learn optimization concepts- What is a Polyhedron? (Polyhedra) - What is a Polytope?

Best Explanation of Gradient, Divergence and Curl

Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors

