Dynamical Systems Analysis

Omnis analysts and researchers are leaders in understanding complex systems and the nonlinear dynamics of such systems. Too often analysts think of complicated problems as large accumulations of data and variables to be addressed in merely additive or cumulative ways without grasping the difference between complication and complexity.

Omnis appreciates that complex systems have properties that are more than the sum of their parts and that do not reveal themselves except at the level of the system as a whole. Such characteristics include scale-invariance, emergent properties and the risk of catastrophic collapse. Such systems exhibit wildly divergent behavior based on immeasurably small changes in initial conditions. Complexity of this type is ubiquitous in natural and manmade systems from solar flare cycles to earthquakes, forest fires, the power grid, internet backbone and global capital markets.

By applying the techniques of dynamical systems analysis and recognizing complexity where it arises, Omnis professionals are able to produce more robust modeling, more reliable predictions and more accurate and timely warning of embedded risks in systems of interest to our customers.