** Eigenvalues and eigenvectors. **

** EIG(X) is a vector containing the eigenvalues of a square **

** matrix X. **

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** **

** [V,D] = EIG(X) produces a diagonal matrix D of **

** eigenvalues and a full matrix V whose columns are the **

** corresponding eigenvectors so that X*V = V*D. **

** **

** **

** [V,D] = EIG(X,'nobalance') performs the computation with **

** balancing disabled, which sometimes gives more accurate results **

** for certain problems with unusual scaling. **

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** **

** Generalized eigenvalues and eigenvectors. **

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** **

** EIG(A,B) is a vector containing the generalized eigenvalues **

** of square matrices A and B. **

** **

** **

** [V,D] = EIG(A,B) produces a diagonal matrix D of general- **

** ized eigenvalues and a full matrix V whose columns are the **

** corresponding eigenvectors so that A*V = B*V*D. **

** **