.. _math: Common Math Functions (HOC) --------------------------- These math functions return a double precision value and take a double precision argument. The exception is :func:`atan2` which has two double precision arguments. Diagnostics: Arguments that are out of range give an argument domain diagnostic. These functions call the library routines supplied by the compiler. ---- .. function:: abs absolute value .. code-block:: none >>> h.abs(-42.2) 42.2 See :meth:`Vector.abs` for the :class:`Vector` class. .. note:: In Python code, use Python's ``abs`` function, which works on both numbers and numpy arrays: .. code-block:: python >>> abs(-42.2) 42.2 >>> abs(-3 + 4j) 5.0 >>> v = h.Vector([1, 6, -2, -65]) >>> abs(v.as_numpy()) array([ 1., 6., 2., 65.]) ---- .. function:: int returns the integer part of its argument (truncates toward 0). .. code-block:: none >>> h.int(3.14) 3.0 >>> h.int(-3.14) -3.0 .. note:: In Python code, use Python's ``int`` function instead. The behavior is slightly different in that the Python function returns an int type instead of a double: .. code-block:: python >>> int(-3.14) -3 >>> int(3.14) 3 ---- .. function:: sqrt square root see :meth:`Vector.sqrt` for the :class:`Vector` class. .. note:: Consider using Python's built in ``math.sqrt`` instead. ---- .. function:: exp Description: returns the exponential function to the base e When exp is used in model descriptions, it is often the case that the cvode variable step integrator extrapolates voltages to values which return out of range values for the exp (often used in rate functions). There were so many of these false warnings that it was deemed better to turn off the warning message when Cvode is active. In any case the return value is exp(700). This message is not turned off at the interpreter level or when cvode is not active. .. code-block:: python from neuron import h for i in range(6,12): print('%g %g' % (i, h.exp(i))) .. note:: Consider using Python's built in ``math.exp`` instead. ---- .. function:: log logarithm to the base e see :meth:`Vector.log` for the :class:`Vector` class. .. note:: Consider using Python's built in ``math.log`` instead. ---- .. function:: log10 logarithm to the base 10 see :meth:`Vector.log10` for the :class:`Vector` class. .. note:: Consider using Python's built in ``math.log10`` instead. ---- .. function:: cos trigonometric function of radian argument. see :meth:`Vector.sin` .. note:: Consider using Python's built in ``math.cos`` instead. ---- .. function:: sin trigonometric function of radian argument. see :meth:`Vector.sin` for the :class:`Vector` class. .. note:: Consider using Python's built in ``math.sin`` instead. ---- .. function:: tanh hyperbolic tangent. see :meth:`Vector.tanh` for the :class:`Vector` class. .. note:: Consider using Python's built in ``math.tanh`` instead. ---- .. function:: atan returns the arc-tangent of y/x in the range :math:`-\pi/2` to :math:`\pi/2`. (x > 0) .. note:: Consider using Python's built in ``math.atan`` instead. ---- .. function:: atan2 Syntax: ``radians = atan2(y, x)`` Description: returns the arc-tangent of y/x in the range :math:`-\pi` < radians <= :math:`\pi`. y and x can be any double precision value, including 0. If both are 0 the value returned is 0. Imagine a right triangle with base x and height y. The result is the angle in radians between the base and hypotenuse. Example: .. code-block:: python from neuron import h h.atan2(0,0) for i in range(-1,2): print(h.atan2(i*1e-6, 10)) for i in range(-1,2): print(h.atan2(i*1e-6, -10)) for i in range(-1,2): print(h.atan2(10, i*1e-6)) for i in range(-1,2): print(h.atan2(-10, i*1e-6)) h.atan2(10,10) h.atan2(10,-10) h.atan2(-10,10) h.atan2(-10,-10) .. note:: Consider using Python's built in ``math.atan2`` instead. ---- .. function:: erf normalized error function .. math:: {\rm erf}(z) = \frac{2}{\sqrt{\pi}} \int_{0}^{z} e^{-t^2} dt .. note:: In Python 2.7 and Python 3.2+, use ``math.erf`` instead. ---- .. function:: erfc returns ``1.0 - erf(z)`` but on sun machines computed by other methods that avoid cancellation for large z. .. note:: In Python 2.7 and Python 3.2+, use ``math.erfc`` instead.