To determine the computing power required for a Full CI calculation of a molecule with n nuclei and x electrons, one must consider the basis set size, k, which defines the number of spin orbitals as 2k. The number of Slater determinants formed is approximately x^(2k), leading to a Hamiltonian matrix of size m x m that needs diagonalization. This matrix grows factorially with the system size, making exact calculations impractical for more than one electron. For example, using a finite basis set for a simple molecule like H2O (n=3, x=10) illustrates the significant computational demands, as processing time increases dramatically with the number of electrons. Thus, while Full CI offers exact solutions, the required resources often render it infeasible for larger systems.