code: public boolean computeShiftDirect(DMatrixRMaj A , double alpha) {
          SpecializedOps_DDRM.addIdentity(A,B,-alpha);
  
          return computeDirect(B);
      }
docs: Computes the most dominant eigen vector of A using a shifted matrix.
  The shifted matrix is defined as <b>B = A - &alpha;I</b> and can converge faster
  if &alpha; is chosen wisely.  In general it is easier to choose a value for &alpha;
  that will converge faster with the shift-invert strategy than this one.
  
  @param A The matrix.
  @param alpha Shifting factor.
  @return If it converged or not.