Rework the MCF test file to help extending it (#180)

Fixes in the heap concept to avoid warnings (#180)

Add citations to CycleCanceling (#180, #184)

Entirely rework cycle canceling algorithms (#180)

- Move the cycle canceling algorithms (CycleCanceling, CancelAndTighten)
into one class (CycleCanceling).
- Add a Method parameter to the run() function to be able to select
the used cycle canceling method.
- Use the new interface similarly to NetworkSimplex.
- Rework the implementations using an efficient internal structure
for handling the residual network.
This improvement made the codes much faster.
- Handle GEQ supply type (LEQ is not supported).
- Handle infinite upper bounds.
- Handle negative costs (for arcs of finite upper bound).
- Extend the documentation.

Port cycle canceling algorithms from SVN -r3524 (#180)

Add citations to the scaling MCF algorithms (#180, #184)
and improve the doc of their group.

Small doc improvements + unifications in MCF classes (#180)

Small implementation improvements in MCF algorithms (#180)

- Handle max() as infinite value (not only infinity()).
- Better GEQ handling in CapacityScaling.
- Skip the unnecessary saturating operations in the first phase in
CapacityScaling.
- Use vector<char> instead of vector<bool> and vector<int> if it is
possible and it proved to be usually faster.

More options for run() in scaling MCF algorithms (#180)

- Three methods can be selected and the scaling factor can be
given for CostScaling.
- The scaling factor can be given for CapacityScaling.

Entirely rework CostScaling (#180)

- Use the new interface similarly to NetworkSimplex.
- Rework the implementation using an efficient internal structure
for handling the residual network. This improvement made the
code much faster.
- Handle GEQ supply type (LEQ is not supported).
- Handle infinite upper bounds.
- Handle negative costs (for arcs of finite upper bound).
- Traits class + named parameter for the LargeCost type used in
internal computations.
- Extend the documentation.

Port CostScaling from SVN -r3524 (#180)

Traits class + a named parameter for CapacityScaling (#180)
to specify the heap used in internal Dijkstra computations.

Entirely rework CapacityScaling (#180)

- Use the new interface similarly to NetworkSimplex.
- Rework the implementation using an efficient internal structure
for handling the residual network. This improvement made the
code much faster (up to 2-5 times faster on large graphs).
- Handle GEQ supply type (LEQ is not supported).
- Handle negative costs for arcs of finite capacity.
(Note that this algorithm cannot handle arcs of negative cost
and infinite upper bound, thus it returns UNBOUNDED if such
an arc exists.)
- Extend the documentation.

Port CapacityScaling from SVN -r3524 (#180)

Memory leak bugfix in BellmanFord (#51)

Merge bugfix #330

Merge

Bug fix in map_extender.h (#330)

Fix clear() function in ExtendFindEnum (#335)

Merge #62

Planarity checking function instead of class (#62)

Port planarity related algorithms from SVN 3509 (#62)

Merge

Fix in HartmannOrlin algorithm (#333)

Valgring option for ./scripts/bootstrap.sh

Optionally use valgrind when running tests + other build system fixes

Merge

Merge

Fix gcc-4.4 compilation warning

Map utility functions (#320)

Merge

Various doc improvements (#331)

- Add notes to the graph classes about the time of
item counting.
- Clarify the doc for run() in BFS and DFS.
- Other improvements.

Small doc fixes in several files (#331)

Doc improvements for Path and PathDumper concepts (#331)

Merge #321

Merge #293

Merge

Small fixes related to BellmanFord (#51)

- Add a missing #include.
- Add a missing const keyword for negativeCycle().
- Test if negativeCycle() is const function.

Merge #68 (Port static graph implementation)

Merge

Make some graph member functions static (#311, #68)

Add a new build() function to StaticDigraph (#68)

This function builds the digraph from an arc list that
contains pairs of integer indices from the range [0..n-1].
It is useful in the cases when you would like to build a
StaticDigraph from scratch, i.e. you do not want to build
another digraph that can be copied using the other build()
function.

Extend the interface of StaticDigraph (#68)
with index(), arc() and node() functions similarly to
other static graph structures.

Add documentation for StaticDigraph (#68)

Small improvements + add tests for StaticDigraph (#68)

Port StaticDigraph from SVN -r3524 (#68)

Small fix in the doc (#179)

Add citations to the min mean cycle classes (#179, #184)

Merge #179 (Port the min mean cycle algorithms)

Add tolerance() functions for MMC classes (#179)

Separate group for the min mean cycle classes (#179)

Simplify comparisons in min mean cycle classes (#179)
using extreme INF values instead of bool flags.

Add HartmannOrlin algorithm class (#179)
This algorithm is an improved version of Karp's original method,
it applies an efficient early termination scheme.
The interface is the same as Karp's and Howard's interface.

Add Karp algorithm class (#179)
based on the MinMeanCycle implementation in SVN -r3436.
The interface is reworked to be the same as Howard's interface.

Rename MinMeanCycle to Howard (#179)

Add a detailed test file for MinMeanCycle and fix test_tools.h (#179)

Rename cyclePath() to cycle() in MinMeanCycle (#179)

Traits class + named parameters for MinMeanCycle (#179)

- Add a Traits class defining LargeValue, Tolerance, Path types.
LargeValue is used for internal computations, it is 'long long'
if the length type is integer, otherwise it is 'double'.
- Add named template parameters for LargeValue and Path types.
- Improve numerical stability: remove divisions from the internal
computations. If the arc lengths are integers, then all used
values are integers (except for the cycleMean() query function,
of course).

Rework and fix the implementation of MinMeanCycle (#179)

- Fix the handling of the cycle means.
- Many implementation improvements:
- More efficient data storage for the strongly connected
components.
- Better handling of BFS queues.
- Merge consecutive BFS searches (perform two BFS searches
instead of three).

This version is about two times faster on average and an order of
magnitude faster if there are a lot of strongly connected components.

Simplify the interface of MinMeanCycle (#179)
Remove init() and reset(), and move their content into findMinMean().