3.4 Matrixfunktionen

Die Stärke von MATLAB sind die Matrixfunktionen. In Tabelle 3.4 finden Sie die wichtigsten.


Tabelle 3.4: Übersicht Matrixfunktionen
Kategorie Funktion Beschreibung (gemäss MATLAB)
Matrixanalysise norm Matrix or vector norm.
  normest Estimate the matrix 2-norm.
  rank Matrix rank.
  det Determinant.
  trace Sum of diagonal elements.
  null Null space.
  orth Orthogonalization.
  rref Reduced row echelon form.
  subspace Angle between two subspaces.
Lineare Gleichungen \ and / Linear equation solution.
  inv Matrix inverse.
  cond Condition number for inversion.
  condest 1-norm condition number estimate.
  chol Cholesky factorization.
  cholinc Incomplete Cholesky factorization.
  linsolve Solve a system of linear equations.
  lu LU factorization.
  luinc Incomplete LU factorization.
  qr Orthogonal-triangular decomposition.
  lsqnonneg Nonnegative least-squares.
  pinv Pseudoinverse.
  lscov Least squares with known covariance.
Eigen- und singuläre eig Eigenvalues and eigenvectors.
Werte svd Singular value decomposition.
  eigs A few eigenvalues.
  svds A few singular values.
  poly Characteristic polynomial.
  polyeig Polynomial eigenvalue problem.
  condeig Condition number for eigenvalues.
  hess Hessenberg form.
  qz QZ factorization.
  schur Schur decomposition.
Matrixfunktionen expm Matrix exponential.
  logm Matrix logarithm.
  sqrtm Matrix square root.
  funm Evaluate general matrix function.




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Peter Arbenz 2008-09-24