ORTHOGONALITY AND LEAST SQUARES
Orthogonal Vectors Norm Unit Vector Orthonormal Vectors Orthogonal Complement Orthogonal Projection Cauchy-Schwarz Inequality Angle Between Two Vectors Gram-Schmidt Process QR Factorialization Transpose Symmetric and Skew-symmetric Matrices Orthogonal Matrices Least Squares Solutions Matrix of an Orthogonal Projection	Symmetric and Skew-symmetric Matrices How to Examples Exercise How to: A matrix is symmetric if it is equal to its transpose. A matrix is skew-symmetric if it is equal to the negative of its transpose. In MATLAB, these properties look like:      Symmetric : A == A'      Skew-symmetric : A == -A'      Examples: Exercise: