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Introduction<br />

The problem of predicting the time evolution of systems with many nonlinearly coupled<br />

degrees of freedom has long been a topic of much interest and intense work. Celestial<br />

mechanics computations can often by performed by assuming only 1/r potentials, but the<br />

sheer number of bodies can make the problem difficult. Fluid mechanics involves<br />

solving the Navier-Stokes equations which is simple for small systems, but not for large<br />

systems such as the global climate. Quantum dynamics can in principle be simplified by<br />

decomposition into orthogonal eigenstates, but for some systems a large number of the<br />

latter may be needed. Interactions between particles complicate the Hamiltonian, such<br />

that for the general case only a few degrees of freedom can be modeled at a time.<br />

There are many challenging dynamical problems in physics, and biological physics is no<br />

exception. Problems exist at a macroscopic scale in dealing with viscous flow, heat and<br />

mass transfer, and thermodynamics within organisms and in their interactions with the<br />

environment. On smaller length scales one encounters diffusion, Brownian motion,<br />

active motility, charge transport, and many other phenomena. At the level of single and<br />

aggregated molecules lie systems large enough that the number of degrees of freedom<br />

can be problematic yet small enough to be dominated by thermal fluctuations. At an even<br />

smaller level photochemistry, electron and proton transfer, phonons, isomerization, bond<br />

breaking, polarization, and other quantum mechanical phenomena occur which are<br />

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