Minor updates to manuals

docs-source/developerguide/license.rst

-Portions copyright (c) 2011-2015 Stanford University and the Authors
+Portions copyright (c) 2011-2016 Stanford University and the Authors
 
 Contributors: Peter Eastman
 

docs-source/usersguide/application.rst

@@ -395,7 +395,7 @@ files in the newer PDBx/mmCIF format: just change :class:`PDBFile` to :class:`PD
 This line specifies the force field to use for the simulation.  Force fields are
 defined by XML files.  OpenMM includes XML files defining lots of standard force fields (see Section :ref:`force-fields`).
 If you find you need to extend the repertoire of force fields available,
-you can find more information on how to create these XML files in Section :ref:`creating-force-fields`.
+you can find more information on how to create these XML files in Chapter :ref:`creating-force-fields`.
 In this case we load two of those files: :file:`amber99sb.xml`, which contains the
 Amber99SB force field, and :file:`tip3p.xml`, which contains the TIP3P water model.  The
 :class:`ForceField` object is assigned to a variable called :code:`forcefield`\ .
@@ -417,10 +417,8 @@ Note the way we specified the cutoff distance 1 nm using :code:`1*nanometer`:
 This is an example of the powerful units tracking and automatic conversion facility
 built into the OpenMM Python API that makes specifying unit-bearing quantities
 convenient and less error-prone.  We could have equivalently specified
-:code:`10*angstrom` instead of :code:`1*nanometer` and achieved the same result,
-but had we specified the wrong dimensions, such as :code:`1*(nanometer**2)` or
-:code:`1*picoseconds`, OpenMM would have thrown an exception. The units system
-will be described in more detail later, in Section :ref:`units-and-dimensional-analysis`.
+:code:`10*angstrom` instead of :code:`1*nanometer` and achieved the same result.
+The units system will be described in more detail later, in Section :ref:`units-and-dimensional-analysis`.
 ::
 
     integrator = LangevinIntegrator(300*kelvin, 1/picosecond, 0.002*picoseconds)
@@ -1322,11 +1320,12 @@ Writing Trajectories
 ====================
 
 
-OpenMM can save simulation trajectories to disk in two formats: PDB_ and DCD_.
-Both of these are widely supported formats, so you should be able to read them
-into most analysis and visualization programs.
+OpenMM can save simulation trajectories to disk in three formats: PDB_,
+`PDBx/mmCIF`_, and DCD_.  All of these are widely supported formats, so you
+should be able to read them into most analysis and visualization programs.
 
 .. _PDB: http://www.wwpdb.org/documentation/format33/v3.3.html
+.. _PDBx/mmCIF: http://mmcif.wwpdb.org
 .. _DCD: http://www.ks.uiuc.edu/Research/vmd/plugins/molfile/dcdplugin.html
 
 To save a trajectory, just add a “reporter” to the simulation, as shown in the
@@ -1336,9 +1335,9 @@ example scripts above:
     simulation.reporters.append(PDBReporter('output.pdb', 1000))
 
 The two parameters of the :class:`PDBReporter` are the output filename and how often (in
-number of time steps) output structures should be written.  To use DCD format,
-just replace :class:`PDBReporter` with :class:`DCDReporter`.  The parameters represent the
-same values:
+number of time steps) output structures should be written.  To use PDBx/mmCIF or
+DCD format, just replace :class:`PDBReporter` with :class:`PDBxReporter` or
+:class:`DCDReporter`.  The parameters represent the same values:
 ::
 
     simulation.reporters.append(DCDReporter('output.dcd', 1000))
@@ -1771,8 +1770,8 @@ not an arbitrary choice.
 Extracting and Reporting Forces (and other data)
 ************************************************
 
-OpenMM provides reporters for two output formats: PDB_ and DCD_.  Both of those
-formats store only positions, not velocities, forces, or other data.  In this
+OpenMM provides reporters for three output formats: PDB_, `PDBx/mmCIF`_ and DCD_.
+All of those formats store only positions, not velocities, forces, or other data.  In this
 section, we create a new reporter that outputs forces.  This illustrates two
 important things: how to write a reporter, and how to query the simulation for
 forces or other data.
@@ -1862,7 +1861,7 @@ the potential energy of each one.  Assume we have already created our :class:`Sy
             pdb = PDBFile(os.path.join('structures', file))
             simulation.context.setPositions(pdb.positions)
             state = simulation.context.getState(getEnergy=True)
-            print file, state.getPotentialEnergy()
+            print(file, state.getPotentialEnergy())
 
     .. caption::
 
@@ -2068,7 +2067,7 @@ Missing residue templates
 =========================
 
 .. CAUTION::
-   These features are experimental, and its API is subject to change.
+   These features are experimental, and their API is subject to change.
 
 You can use the :meth:`getUnmatchedResidues()` method to get a list of residues
 in the provided :code:`topology` object that do not currently have a matching
@@ -2106,7 +2105,7 @@ are being matched:
     forcefield = ForceField('amber99sb.xml', 'tip3p.xml')
     templates = forcefield.getMatchingTemplates(topology)
     for (residue, template) in zip(pdb.topology.residues(), templates):
-        print "Residue %d %s matched template %s" % (residue.id, residue.name, template.name)
+        print("Residue %d %s matched template %s" % (residue.id, residue.name, template.name))
 
 <HarmonicBondForce>
 ===================
@@ -2916,17 +2915,19 @@ This :code:`generator` function must conform to the following API:
         -------
         success : bool
             If the generator is able to successfully parameterize the residue, `True` is returned.
-            If the generator cannot parameterize the residue, it should return `False` and not modify `forcefield`.
+            If the generator cannot parameterize the residue, it should return `False` and not
+            modify `forcefield`.
 
-        The generator should either register a residue template directly with `forcefield.registerResidueTemplate(template)`
-        or it should call `forcefield.loadFile(file)` to load residue definitions from an ffxml file.
+        The generator should either register a residue template directly with
+        `forcefield.registerResidueTemplate(template)` or it should call `forcefield.loadFile(file)`
+        to load residue definitions from an ffxml file.
 
-        It can also use the `ForceField` programmatic API to add additional atom types (via `forcefield.registerAtomType(parameters)`)
-        or additional parameters.
+        It can also use the `ForceField` programmatic API to add additional atom types (via
+        `forcefield.registerAtomType(parameters)`) or additional parameters.
 
         """
 
-The :code:`ForceField` object will be modified by the residue template generator as residues without previously
-defined templates are encountered.  Because these templates are added to `ForceField` as new residue
+The :class:`ForceField` object will be modified by the residue template generator as residues without previously
+defined templates are encountered.  Because these templates are added to the :class:`ForceField` as new residue
 types are encountered, subsequent residues will be parameterized using the same residue templates without
 calling the :code:`generator` again.

docs-source/usersguide/library.rst

@@ -347,11 +347,6 @@ The choice of which platform to use for a simulation depends on various factors:
    OpenCL platform running on the CPU.
 #. The CUDA platform can only be used with NVIDIA GPUs.  For using an AMD or
    Intel GPU, use the OpenCL platform.
-#. When running on recent NVIDIA GPUs (Fermi and Kepler generations), the CUDA
-   platform is usually faster and should be used.  On older GPUs, the OpenCL
-   platform is likely to be faster.  Also, some very old GPUs (GeForce 8000 and
-   9000 series) are only supported by the OpenCL platform, not by the CUDA
-   platform.
 #. The AMOEBA force field only works with the CUDA platform, not with the OpenCL
    platform.  It also works with the Reference and CPU platforms, but the performance
    is usually too slow to be useful on those platforms.
@@ -393,14 +388,9 @@ Mac and Linux: clang or gcc
 
 Use clang or gcc on Mac/Linux.  OpenMM should compile correctly with all recent
 versions of these compilers.  We recommend clang since it produces faster code,
-especially when using the CPU platform.
-
-If you do not already have a compiler installed, you will need to download and
-install it.  On Mac OS X, this means downloading the Xcode Tools from the App
-Store. (With Xcode 4.3, you must then launch Xcode, open the Preferences window,
-go to the Downloads tab, and tell it to install the command line tools.  With
-Xcode 4.2 and earlier, the command line tools are automatically installed when
-you install Xcode.)
+especially when using the CPU platform.  If you do not already have a compiler
+installed, you will need to download and install it.  On Mac OS X, this means
+downloading the Xcode Tools from the App Store.
 
 Windows: Visual Studio
 ----------------------
@@ -545,6 +535,8 @@ There are several variables that can be adjusted in the CMake interface:
   and documentation.
 * Set the variable CMAKE_INSTALL_PREFIX to the location where you want to
   install OpenMM.
+* Set the variable PYTHON_EXECUTABLE to the Python interpreter you plan to use
+  OpenMM with.
 
 
 Configure (press “c”) again.  Adjust any variables that cause an

docs-source/usersguide/license.rst

-Portions copyright (c) 2008-2015 Stanford University and the Authors
+Portions copyright (c) 2008-2016 Stanford University and the Authors
 
 Contributors:  Kyle Beauchamp, Christopher Bruns, John Chodera, Peter Eastman, Mark
 Friedrichs, Joy P. Ku, Tom Markland, Vijay Pande, Randy Radmer, Michael Sherman,