(Cont.) By combining the dual Eulerian and Lagrangian state information into one vector, an ensemble can approximate their covariance, thus allowing each component's uncertainty to be reduced. The first step of the two-step approach reduces the feature position errors in an effort to render the residual additive errors Gaussian, thereby allowing the second step of an implementable state estimation method to proceed successfully. Philosophically, the two-step approach uses physical knowledge of the problem (as phrased by the error model) to compensate for neglected important non-Gaussian uncertainty structure in the state estimation process. The proposed two-step approach successfully allows use of implementable methods of state estimation to obtain probabilistically reliable analyses in regimes of nonlinear error growth, something unavailable using current standards.

This book is a story of a typical career in the war against drugs. This story takes place in many of our United States as well as in several countries south of our own. Stories such as this one are very rarely seen in the news or read about in the newspapers. Many people such as Gregory Lawson are right now involved in the war against drugs, and are in no way expecting publicity or fame. They are dedicated soldiers who only fight as hard as they know how to make our country safer for all of us.