Added a Lemke MLCP solver, extracted from the MBSim project, and re-licensed under the zlib license

with permission of the original author. 
The Lemke implementation is not fully working yet:
1) we need to convert the lo-high LCP problem into a problem without the lo/high
2) we need to sort out the remaining instabilities, and report a failure if the max loopcount is reached etc.
We replaced the fmatvec library with our own LinearMath/btMatrixX.h, and STL std::vector with btAlignedObjectArray

Removed some warnings/potential issues: use fuzzyZero instead of isZero, and some warnings, 
related to this issue 756
This commit is contained in:
erwin.coumans
2013-10-26 18:45:25 +00:00
parent 19f999ac08
commit 1a2c3c0ee9
6 changed files with 843 additions and 81 deletions

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/*
Bullet Continuous Collision Detection and Physics Library
Copyright (c) 2003-2013 Erwin Coumans http://bulletphysics.org
This software is provided 'as-is', without any express or implied warranty.
In no event will the authors be held liable for any damages arising from the use of this software.
Permission is granted to anyone to use this software for any purpose,
including commercial applications, and to alter it and redistribute it freely,
subject to the following restrictions:
1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
3. This notice may not be removed or altered from any source distribution.
*/
///original version written by Erwin Coumans, October 2013
#ifndef BT_LEMKE_SOLVER_H
#define BT_LEMKE_SOLVER_H
#include "btMLCPSolverInterface.h"
#include "btLemkeAlgorithm.h"
class btLemkeSolver : public btMLCPSolverInterface
{
public:
virtual bool solveMLCP(const btMatrixXu & A, const btVectorXu & b, btVectorXu& x, const btVectorXu & lo,const btVectorXu & hi,const btAlignedObjectArray<int>& limitDependency, int numIterations, bool useSparsity = true)
{
int dimension = A.rows();
if (0==dimension)
return true;
// printf("================ solving using Lemke/Newton/Fixpoint\n");
btVectorXu q;
q.resize(dimension);
for (int row=0;row<dimension;row++)
{
q[row] = -b[row];
}
int debugLevel=0;
btLemkeAlgorithm lemke(A,q,debugLevel);
lemke.setSystem(A,q);
int maxloops = 10000;
btVectorXu solution = lemke.solve(maxloops);
//check solution
bool fail = false;
int errorIndexMax = -1;
int errorIndexMin = -1;
float errorValueMax = -1e30;
float errorValueMin = 1e30;
for (int i=0;i<dimension;i++)
{
x[i] = solution[i+dimension];
volatile btScalar check = x[i];
if (x[i] != check)
{
x.setZero();
return false;
}
//this is some hack/safety mechanism, to discard invalid solutions from the Lemke solver
//we need to figure out why it happens, and fix it, or detect it properly)
if (x[i]>100000)
{
if (x[i]> errorValueMax)
{
fail = true;
errorIndexMax = i;
errorValueMax = x[i];
}
////printf("x[i] = %f,",x[i]);
}
if (x[i]<-10000)
{
if (x[i]<errorValueMin)
{
errorIndexMin = i;
errorValueMin = x[i];
fail = true;
//printf("x[i] = %f,",x[i]);
}
}
}
if (fail)
{
static int errorCountTimes = 0;
if (errorIndexMin<0)
errorValueMin = 0.f;
if (errorIndexMax<0)
errorValueMax = 0.f;
printf("Error (x[%d] = %f, x[%d] = %f), resetting %d times\n", errorIndexMin,errorValueMin, errorIndexMax, errorValueMax, errorCountTimes++);
for (int i=0;i<dimension;i++)
{
x[i]=0.f;
}
}
#if 0
if (lemke.getInfo()<0)
{
printf("Lemke found no solution, info = %d\n",lemke.getInfo());
} else
{
printf("Lemke info = %d, found a solution in %d steps\n",lemke.getInfo(),lemke.getSteps());
//printf("Lemke found a solution\n");
for (int i=0;i<dimension;i++)
{
x[i] = solution(i+dimension);
}
}
#endif
return !fail;
}
};
#endif //BT_LEMKE_SOLVER_H