tensor_product.py 文件源码

def _setup(self):
        self.xlimits[:, 0] = -1.
        self.xlimits[:, 1] =  1.

        a = self.options['width']
        if self.options['func'] == 'cos':
            self.func = lambda v: np.cos(a * np.pi * v)
            self.dfunc = lambda v: -a * np.pi * np.sin(a * np.pi * v)
        elif self.options['func'] == 'exp':
            self.func = lambda v: np.exp(a * v)
            self.dfunc = lambda v: a * np.exp(a * v)
        elif self.options['func'] == 'tanh':
            self.func = lambda v: np.tanh(a * v)
            self.dfunc = lambda v: a / np.cosh(a * v) ** 2
        elif self.options['func'] == 'gaussian':
            self.func = lambda v: np.exp(-2. * a * v ** 2)
            self.dfunc = lambda v: -4. * a * v * np.exp(-2. * a * v ** 2)