Gram-Schmidt

Vector independence procedure

Gram-Schmidt is a mathematical procedure for converting a set of vectors into an orthogonal or orthonormal set—vectors that are mutually perpendicular and, if normalized, of unit length.

The process works iteratively: each vector is adjusted by subtracting its projections onto the previously processed vectors.

Apply Gram-Schmidt to find an orthonormal basis.

Named for mathematicians Jørgen Gram and Erhard Schmidt.

algorithm

QR decomposition

Matrix as orthogonal-triangular product

projection · normalization · span · coefficients · iterative · decomposition · factorization · least squares · matrix · subspace

application

least squares

Error-minimizing statistical method

machine learning · regression · curve fitting · noise reduction · wireless communications · computer graphics · crystallography · quantum mechanics

numerical

modified

Changed in some way

floating-point · precision · accumulation · cancellation · ill-conditioned · pivoting

Categories
Opposites
matrix decomposition type

Gram-Schmidteigendecomposition

Factoring via eigenvectors

LU decomposition

Family

gram, Schmidt, grams, grammar, grammarian, grammatical, grammatically, program, diagram

Familiarity
Top 1,000,000
Profile
Used worldwide · Timeless · Abstract · Rated G