A symmetric matrix $C$ is completely positive (CP) if there exists an
entrywise nonnegative matrix $B$ such that $C=BB^T$. The CP-completion problem
is to study whether we can assign values to the missing entries of a partial
matrix (i.e., a matrix having unknown entries) such that the completed matrix
is completely positive. CP-completion has wide applications in probability
theory, the nonconvex quadratic optimization, etc. In this talk, we will
propose an SDP algorithm to solve the general CP-completion problem and study
its properties. Computational experiments will also be presented to show how
CP-completion problems can be solved.