.. Boolean-Cayley-graphs documentation master file, created by sphinx-quickstart on Sun Jun 11 19:07:49 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. ************************************************************* Boolean-Cayley-graphs: Python package reference documentation ************************************************************* Boolean-Cayley-graphs is a collection of Sage and Python software for the investigation of bent Boolean functions, their Cayley graphs, and associated structures. This is the reference documentation for the ``boolean_cayley_graphs`` Python package: a set of Python classes and utility functions that forms the core of the Boolean-Cayley-graphs collection. The documentation is organized into a thematic index and other indices and tables. See also the ``README.md`` file for Boolean-Cayley-graphs, as well as the accompanying paper [Leo2017]_. Thematic index ============== Classifications of bent functions --------------------------------- * :doc:`Classification of bent functions by their Cayley graphs <boolean_cayley_graphs.bent_function_cayley_graph_classification>` * :doc:`Classification of bent functions by their weight <boolean_cayley_graphs.weight_class>` Classification of boolean functions ----------------------------------- * :doc:`Classification of boolean functions within an extended translation class <boolean_cayley_graphs.boolean_function_extended_translate_classification>` Boolean functions ----------------- * :doc:`An improved boolean function class <boolean_cayley_graphs.boolean_function_improved>` * :doc:`A general linear equivalence class of boolean functions <boolean_cayley_graphs.boolean_function_general_linear_class>` * :doc:`Bent boolean functions <boolean_cayley_graphs.bent_function>` Graphs ------ * :doc:`An improved Graph class <boolean_cayley_graphs.graph_improved>` * :doc:`Boolean graphs <boolean_cayley_graphs.boolean_graph>` * :doc:`Boolean linear code graphs <boolean_cayley_graphs.boolean_linear_code_graph>` * :doc:`Cayley graph of a boolean function <boolean_cayley_graphs.boolean_cayley_graph>` * :doc:`Strongly regular graphs <boolean_cayley_graphs.strongly_regular_graph>` * :doc:`The Royle X graph <boolean_cayley_graphs.royle_x_graph>` Linear codes ------------ * :doc:`Boolean linear codes <boolean_cayley_graphs.boolean_linear_code>` * :doc:`Some binary projective two weight codes <boolean_cayley_graphs.binary_projective_two_weight_codes>` Parallel algorithms ------------------- * :doc:`Classification in parallel using fork <boolean_cayley_graphs.classify_in_parallel>` * :doc:`Classification in parallel using MPI <boolean_cayley_graphs.classify_in_mpi_parallel>` Database interfaces ------------------- * :doc:`Interface to a classification database using psycopg2 <boolean_cayley_graphs.classification_database_psycopg2>` * :doc:`Interface to a classification database using sqlite3 <boolean_cayley_graphs.classification_database_sqlite3>` Utilities --------- * :doc:`Bit-level properties of integers <boolean_cayley_graphs.integer_bits>` * :doc:`Controls for timing and tracing <boolean_cayley_graphs.cayley_graph_controls>` * :doc:`Improved container classes <boolean_cayley_graphs.containers>` * :doc:`Tests for GF(2) linear algebra <boolean_cayley_graphs.linear>` * :doc:`Load and save Sage objects with standardized names <boolean_cayley_graphs.saveable>` References ---------- * :doc:`Reference generation <boolean_cayley_graphs.references>` * :doc:`References <references>` Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`
