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Computational Methods in Classical Physics
Monte Carlo Simulations in Statistical Physics
Reduce for Beginners Six Lectures on the Application
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2d particle problem accuracy adaptive stepsize algebraic algorithm argument array assigned automatically boolean expression CA-system calculate cellular automata cluster coefficients command compound statement coordinates declared defined derivative differential equation dimension elements enter energy error Euler method evaluates example Excalc factor final total energy finite flip floating point Fortran function gauge theories given goto 1 endif IF-statement infix operators initial conditions initial total energy input integer interval Ising model Kauffman model lecture LET rules linear llca loop loop-variable magnetization mass matrix method Monte Carlo neighbors output package perimeter sites plotfu polynomial prefix operators printed problem for dt procedure r-max r-min random number randomly real numbers recursive Reduce result SCALAR scalar computer simulation solution solve 2d particle spin square lattice Statistical Physics step stepsize h string subroutine switch Taylor expansion Taylor series tmax variable vector computers velocity write zero