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	Transpose How to Examples Exercise How to: Finding the transpose of an MxN matrix A results in an NxM matrix denoted AT that has the property A(i, j) == AT(j, i). In MATLAB, we do not use the same notation as the book, we use this instead:      Atranspose = A' We use the apostrophe when we want to find the transpose of a matrix.      Examples: Exercise: