update docs

docs/manual/source/numpy-fft.rst

@@ -1,6 +1,6 @@
 
-Fourier transforms
+numpy.fft
-==================
+=========
 
 Functions related to Fourier transforms can be called by prepending them
 with ``numpy.fft.``. The module defines the following two functions:

docs/manual/source/numpy-linalg.rst

@@ -1,6 +1,6 @@
 
-Linalg
+numpy.linalg
-======
+============
 
 Functions in the ``linalg`` module can be called by prepending them by
 ``numpy.linalg.``. The module defines the following seven functions:

docs/manual/source/scipy-linalg.rst

@@ -1,6 +1,6 @@
 
-linalg
+scipy.linalg
-======
+============
 
 ``scipy``\ ’s ``linalg`` module contains a single function,
 ``solve_triangular``, which can be called by prepending it by

docs/manual/source/scipy-optimize.rst

@@ -1,6 +1,6 @@
 
-Optimize
+scipy.optimize
-========
+==============
 
 Functions in the ``optimize`` module can be called by prepending them by
 ``scipy.optimize.``. The module defines the following three functions:

docs/manual/source/scipy-signal.rst

@@ -1,6 +1,6 @@
 
-Signal
+scipy.signal
-======
+============
 
 Functions in the ``signal`` module can be called by prepending them by
 ``scipy.signal.``. The module defines the following two functions:

docs/manual/source/scipy-special.rst

@@ -1,6 +1,6 @@
 
-Special functions
+scipy.special
-=================
+=============
 
 ``scipy``\ ’s ``special`` module defines several functions that behave
 as do the standard mathematical functions of the ``numpy``, i.e., they

docs/numpy-fft.ipynb

@@ -223,7 +223,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Fourier transforms\n",
+    "# numpy.fft\n",
     "\n",
     "Functions related to Fourier transforms can be called by prepending them with `numpy.fft.`. The module defines the following two functions:\n",
     "\n",

docs/numpy-linalg.ipynb

@@ -223,7 +223,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Linalg\n",
+    "# numpy.linalg\n",
     "\n",
     "Functions in the `linalg` module can be called by prepending them by `numpy.linalg.`. The module defines the following seven functions:\n",
     "\n",

docs/scipy-linalg.ipynb

@@ -223,7 +223,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# linalg\n",
+    "# scipy.linalg\n",
     "\n",
     "`scipy`'s `linalg` module contains a single function, `solve_triangular`, which can be called by prepending it  by `scipy.linalg.`.\n",
     "\n",

docs/scipy-optimize.ipynb

@@ -223,7 +223,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Optimize\n",
+    "# scipy.optimize\n",
     "\n",
     "Functions in the `optimize` module can be called by prepending them by `scipy.optimize.`. The module defines the following three functions:\n",
     "\n",

docs/scipy-signal.ipynb

@@ -223,7 +223,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Signal\n",
+    "# scipy.signal\n",
     "\n",
     "Functions in the `signal` module can be called by prepending them by `scipy.signal.`. The module defines the following two functions:\n",
     "\n",

docs/scipy-special.ipynb

@@ -223,7 +223,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Special functions\n",
+    "# scipy.special\n",
     "\n",
     "`scipy`'s `special` module defines several functions that behave as do the standard mathematical functions of the `numpy`, i.e., they can be called on any scalar, scalar-valued iterable (ranges, lists, tuples containing numbers), and on `ndarray`s without having to change the call signature. In all cases the functions return a new `ndarray` of typecode `float` (since these functions usually generate float values, anyway). \n",
     "\n",

docs/ulab-convert.ipynb

@@ -270,6 +270,7 @@
     "         'numpy-universal',\n",
     "         'numpy-fft',\n",
     "         'numpy-linalg',\n",
+    "         'scipy-linalg',\n",
     "         'scipy-optimize',\n",
     "         'scipy-signal',\n",
     "         'scipy-special',\n",