scholarly journals On an order reduction theorem in the Lagrangian formalism

1996 ◽  
Vol 111 (12) ◽  
pp. 1439-1447 ◽  
Author(s):  
D. R. Grigore
2012 ◽  
Vol 490-495 ◽  
pp. 3516-3521 ◽  
Author(s):  
Jin Song Pan

Through the introduction to the properties of characteristic polynomial, the order reduction theorem of the characteristic polynomial as well as its application in high order matrix is studied, and also a simplified method (characteristic polynomial method), which is used to solve the particular integral of the non-homogeneous linear differential equation with constant coefficients, is proposed in this paper. It is simpler than coefficient comparison and Laplace transform method, and also is of greater realistic significance for the differential equations with high order number and terms number.


2000 ◽  
Vol 653 ◽  
Author(s):  
Celeste Sagui ◽  
Thoma Darden

AbstractFixed and induced point dipoles have been implemented in the Ewald and Particle-Mesh Ewald (PME) formalisms. During molecular dynamics (MD) the induced dipoles can be propagated along with the atomic positions either by interation to self-consistency at each time step, or by a Car-Parrinello (CP) technique using an extended Lagrangian formalism. The use of PME for electrostatics of fixed charges and induced dipoles together with a CP treatment of dipole propagation in MD simulations leads to a cost overhead of only 33% above that of MD simulations using standard PME with fixed charges, allowing the study of polarizability in largemacromolecular systems.


Author(s):  
Vladimir Lantsov ◽  
A. Papulina

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.


2011 ◽  
Vol 31 (4) ◽  
pp. 1006-1009
Author(s):  
Ning GUO ◽  
Xiao-yan SUN ◽  
He LIN ◽  
Hua MOU

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