text: % CVX: Matrix structure definitions and utilities.
  %    CVX provides a keyword-based method for definiting matrices
  %    with one or more types of structure; e.g.
  %        variable X(n,n) symmetric toeplitz tridiagonal;
  %    CVX automatically computes an efficient basis for the requested
  %    structure. The files in this directory implement those computations.
  %
  %    None of these files should be called directly---matrix structure is
  %    selected in the VARIABLE declaration; see VARIABLE for more details.
  %    Below are the keywords that are available, and the structures they
  %    represent. Keywords can be freely combined (see the above example),
  %    but of course some combinations are degenerate, yielding only the 
  %    all-zero matrix; e.g.,
  %       variable X(n,n) 
  %
  % Structures:
  %   banded            - (U,L)-banded matrices.
  %   complex           - Complex variables of all sizes.
  %   diagonal          - Diagonal matrices.
  %   hankel            - Hankel matrices.
  %   hermitian         - Complex Hermitian matrices.
  %   lower_bidiagonal  - Lower bidiagonal matrices.
  %   lower_hessenberg  - Lower Hessenberg matrices.
  %   lower_triangular  - Lower triangular matrices.
  %   scaled_identity   - Scaled identity: t*eye(n).
  %   skew_symmetric    - Skew-symmetric matrices.
  %   sparse            - Matrices with a fixed sparsity pattern.
  %   symmetric         - Symmetric matrices.
  %   toeplitz          - Toeplitz matrices.
  %   tridiagonal       - Tridiagional matrices.
  %   upper_bidiagonal  - Upper bidiagonal matrices.
  %   upper_hankel      - Upper Hankel matrices.
  %   upper_hessenberg  - Upper Hessenberg matrices.
  %   upper_triangular  - Upper triangular matrices.
  
  % Copyright 2005-2016 CVX Research, Inc.
  % See the file LICENSE.txt for full copyright information.
  % The command 'cvx_where' will show where this file is located.
  