SDP problems arise from the well-known linear programming problems by replacing the vector of variables with a

symmetric matrix and replacing the non-negativity constraints with positive semidefinite constraints.

If x = y, then we observe that M is a

symmetric matrix.

1[less than or equal to]i,j[less than or equal to]N] be a skew

symmetric matrix of size N.

It is well known that since A is a real

symmetric matrix all its eigen values must be real.

These condition are described in terms of certain

symmetric matrix over [R.

Where CA is an asymmetric matrix, CS is a

symmetric matrix, and CTA is the transposed asymmetric matrix.

Where the elements of the (5x5)

symmetric matrix [summation](M) are given by Cov([m.

L) are weights, and [S] is a

symmetric matrix, that:

Of course, the functional G would not exist if A was not a

symmetric matrix.

The characteristic polynomial for the

symmetric matrix [T.

The shortest path distance matrix is represented as square

symmetric matrix of size n x n, where n is the number of links in a KC.

The Lanczos algorithm is one of the most frequently used to compute a few eigenvalues of a large sparse

symmetric matrix, but it does not fulfill its theoretical potential when used in finite precision arithmetic.