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cs190c:project3 [2008/02/28 08:05]
seh
cs190c:project3 [2008/02/29 11:57] (current)
seh
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 Function ising_model returns three values: M_aver, the average magnetization,​ M2_aver, the average square magnetizations,​ and the associated variance. ​ The magnetization of a lattice is the sum of the magnetization of its particles (the change of one particle thus changes the magnetization by 2).   ​Function ising_model records the magnetization and the square of the magnetization after each trial (this means storing steps*N*N values). ​ M_aver, M2_aver, and the variance are computed just before ising_model returns. ​ You can use any the of numerically stable methods seen in Lab 8 to compute the variance. Function ising_model returns three values: M_aver, the average magnetization,​ M2_aver, the average square magnetizations,​ and the associated variance. ​ The magnetization of a lattice is the sum of the magnetization of its particles (the change of one particle thus changes the magnetization by 2).   ​Function ising_model records the magnetization and the square of the magnetization after each trial (this means storing steps*N*N values). ​ M_aver, M2_aver, and the variance are computed just before ising_model returns. ​ You can use any the of numerically stable methods seen in Lab 8 to compute the variance.
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     * How does it change with varying energies?     * How does it change with varying energies?
     * Is the distribution the same as for the ideal gas model?     * Is the distribution the same as for the ideal gas model?
-    * Can you estimate the distribution parameters for at least one total energy? 
   * Magnetization_versus_Energy graph   * Magnetization_versus_Energy graph
     * Which curves are most stable?     * Which curves are most stable?
 
cs190c/project3.txt ยท Last modified: 2008/02/29 11:57 by seh
 
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