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Revision 2794 by tim, Tue Jun 6 01:58:27 2006 UTC vs.
Revision 2796 by tim, Tue Jun 6 02:05:07 2006 UTC

# Line 861 | Line 861 | Careful choice of coefficient $a_1 \ldot b_m$ will lea
861   \varphi _{b_m h}^2  \circ \varphi _{a_m h}^1  \circ \varphi _{b_{m -
862   1} h}^2  \circ  \ldots  \circ \varphi _{a_1 h}^1 .
863   \end{equation}
864 < Careful choice of coefficient $a_1 \ldot b_m$ will lead to higher
864 > Careful choice of coefficient $a_1 \ldots b_m$ will lead to higher
865   order method. Yoshida proposed an elegant way to compose higher
866   order methods based on symmetric splitting\cite{Yoshida1990}. Given
867   a symmetric second order base method $ \varphi _h^{(2)} $, a
# Line 1256 | Line 1256 | the equations of motion,
1256   Using Equation (\ref{introEquation:motionHamiltonianCoordinate},
1257   \ref{introEquation:motionHamiltonianMomentum}), one can write down
1258   the equations of motion,
1259 < \[
1260 < \begin{array}{c}
1261 < \frac{{dq}}{{dt}} = \frac{p}{m} \label{introEquation:RBMotionPosition}\\
1262 < \frac{{dp}}{{dt}} =  - \nabla _q V(q,Q) \label{introEquation:RBMotionMomentum}\\
1263 < \frac{{dQ}}{{dt}} = PJ^{ - 1}  \label{introEquation:RBMotionRotation}\\
1264 < \frac{{dP}}{{dt}} =  - \nabla _Q V(q,Q) - 2Q\Lambda . \label{introEquation:RBMotionP}\\
1265 < \end{array}
1266 < \]
1259 >
1260 > \begin{eqnarray}
1261 > \frac{{dq}}{{dt}} & = & \frac{p}{m} \label{introEquation:RBMotionPosition}\\
1262 > \frac{{dp}}{{dt}} & = & - \nabla _q V(q,Q) \label{introEquation:RBMotionMomentum}\\
1263 > \frac{{dQ}}{{dt}} & = & PJ^{ - 1}  \label{introEquation:RBMotionRotation}\\
1264 > \frac{{dP}}{{dt}} & = & - \nabla _Q V(q,Q) - 2Q\Lambda . \label{introEquation:RBMotionP}
1265 > \end{eqnarray}
1266  
1267   In general, there are two ways to satisfy the holonomic constraints.
1268   We can use constraint force provided by lagrange multiplier on the

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