haiku/src/libs/linprog
Clemens Zeidler 3d25371741 Don't copy the constraint list, just use a pointer to the list.
There was a strange crash under gcc4. After some searching I found out that there is some clash with namespaces.
After removing the namespaces it works again. Could somebody explain what went wrong there?



git-svn-id: file:///srv/svn/repos/haiku/haiku/trunk@40386 a95241bf-73f2-0310-859d-f6bbb57e9c96
2011-02-08 09:07:26 +00:00
..
ActiveSetSolver.cpp Don't copy the constraint list, just use a pointer to the list. 2011-02-08 09:07:26 +00:00
ActiveSetSolver.h Fix min/ max calculation by removing all soft constraints before doing so. Smaller fixes. 2011-01-26 22:06:02 +00:00
Constraint.cpp 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
Jamfile 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
LayoutOptimizer.cpp Don't copy the constraint list, just use a pointer to the list. 2011-02-08 09:07:26 +00:00
LayoutOptimizer.h Don't copy the constraint list, just use a pointer to the list. 2011-02-08 09:07:26 +00:00
LinearSpec.cpp Make kp_solve interface work again. 2011-02-08 09:01:11 +00:00
LPSolveInterface.cpp Make kp_solve interface work again. 2011-02-08 09:01:11 +00:00
LPSolveInterface.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.cpp 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.cpp Make kp_solve interface work again. 2011-02-08 09:01:11 +00:00