Clemens Zeidler 7583db5a1e Add an alternative solver to lp_solve. The solver based on Ingo's active set solver but is able to handle arbitrary hard and soft constraints. The advantage to lp_solve is that the active set solver can optimize variable in respect to a quadratic objective function. This makes it possible to minimise the quadratic derivation to a desired value e.g. \Sum_i(x_i - x_{i,pref})^2 -> min. ... The solver part has been refactored in this way that both solver can be used with the same layout specifications. The active set solver is default now; the performance is not as good as lp_solve, though. git-svn-id: file:///srv/svn/repos/haiku/haiku/trunk@40285 a95241bf-73f2-0310-859d-f6bbb57e9c96		2011-01-25 04:59:40 +00:00
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Constraint.h	Add an alternative solver to lp_solve. The solver based on Ingo's active set solver but is able to handle arbitrary hard and soft constraints. The advantage to lp_solve is that the active set solver can optimize variable in respect to a quadratic objective function. This makes it possible to minimise the quadratic derivation to a desired value e.g. \Sum_i(x_i - x_{i,pref})^2 -> min.	2011-01-25 04:59:40 +00:00
LinearProgrammingTypes.h	Merge all linear programming types in one file an rename them.	2010-12-13 19:23:33 +00:00
LinearSpec.h	Add an alternative solver to lp_solve. The solver based on Ingo's active set solver but is able to handle arbitrary hard and soft constraints. The advantage to lp_solve is that the active set solver can optimize variable in respect to a quadratic objective function. This makes it possible to minimise the quadratic derivation to a desired value e.g. \Sum_i(x_i - x_{i,pref})^2 -> min.	2011-01-25 04:59:40 +00:00
Summand.h	Add an alternative solver to lp_solve. The solver based on Ingo's active set solver but is able to handle arbitrary hard and soft constraints. The advantage to lp_solve is that the active set solver can optimize variable in respect to a quadratic objective function. This makes it possible to minimise the quadratic derivation to a desired value e.g. \Sum_i(x_i - x_{i,pref})^2 -> min.	2011-01-25 04:59:40 +00:00
Variable.h	fUsingSummands was never used so remove it.	2010-11-29 21:08:26 +00:00