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Python Variables.get_lcbc_operator方法代碼示例

本文整理匯總了Python中sfepy.discrete.Variables.get_lcbc_operator方法的典型用法代碼示例。如果您正苦於以下問題:Python Variables.get_lcbc_operator方法的具體用法?Python Variables.get_lcbc_operator怎麽用?Python Variables.get_lcbc_operator使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在sfepy.discrete.Variables的用法示例。


在下文中一共展示了Variables.get_lcbc_operator方法的1個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: Equations

# 需要導入模塊: from sfepy.discrete import Variables [as 別名]
# 或者: from sfepy.discrete.Variables import get_lcbc_operator [as 別名]

#.........這裏部分代碼省略.........
        Set data (vectors of DOF values) of variables.

        Parameters
        ----------
        data : array
            The dictionary of {variable_name : data vector}.
        step : int, optional
            The time history step, 0 (default) = current.
        ignore_unknown : bool, optional
            Ignore unknown variable names if `data` is a dict.
        """
        self.variables.set_data(data, step=step,
                                ignore_unknown=ignore_unknown)

    def apply_ebc(self, vec, force_values=None):
        """
        Apply essential (Dirichlet) boundary conditions to a state vector.
        """
        self.variables.apply_ebc(vec, force_values=force_values)

    def apply_ic(self, vec, force_values=None):
        """
        Apply initial conditions to a state vector.
        """
        self.variables.apply_ic(vec, force_values=force_values)

    def state_to_output(self, vec, fill_value=None, var_info=None,
                        extend=True):
        return self.variables.state_to_output(vec,
                                              fill_value=fill_value,
                                              var_info=var_info,
                                              extend=extend)

    def get_lcbc_operator(self):
        return self.variables.get_lcbc_operator()

    def evaluate(self, names=None, mode='eval', dw_mode='vector',
                 term_mode=None, asm_obj=None):
        """
        Evaluate the equations.

        Parameters
        ----------
        mode : one of 'eval', 'el_avg', 'qp', 'weak'
            The evaluation mode.
        names : str or sequence of str, optional
            Evaluate only equations of the given name(s).

        Returns
        -------
        out : dict or result
            The evaluation result. In 'weak' mode it is the
            `asm_obj`. Otherwise, it is a dict of results with equation names
            as keys or a single result for a single equation.
        """
        if names is None:
            eqs = self
            single = (len(eqs) == 1)

        else:
            single = isinstance(names, str)
            if single:
                names = [names]

            eqs = [self[eq] for eq in names]
開發者ID:Gkdnz,項目名稱:sfepy,代碼行數:69,代碼來源:equations.py


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