int main()
{
const size_t npts = 10;
const SS::GhostData ghost(0);
const SS::BoundaryCellInfo bc = SS::BoundaryCellInfo::build<FieldT>();
const SS::MemoryWindow mw( SS::IntVec( npts, 1, 1 ) );
FieldT f( mw, bc, ghost, NULL );
double x=0.1;
for( FieldT::iterator ifld=f.begin(); ifld!=f.end(); ++ifld, x+=1.0 ){
*ifld = x;
}
TestHelper status(true);
FieldT::interior_iterator i2=f.interior_begin();
for( FieldT::iterator i=f.begin(); i!=f.end(); ++i, ++i2 ){
status( *i==*i2, "value" );
status( &*i == &*i2, "address" );
}
{
typedef SS::ConstValEval BCVal;
typedef SS::BoundaryCondition<FieldT,BCVal> BC;
BC bc1( SS::IntVec(2,1,1), BCVal(1.234) );
BC bc2( SS::IntVec(4,1,1), BCVal(3.456) );
bc1(f);
bc2(f);
status( f[2] == 1.234, "point BC 1" );
status( f[4] == 3.456, "point BC 2" );
}
{
std::vector<size_t> ix;
ix.push_back(4);
ix.push_back(2);
SpatialOps::Point::FieldToPoint<FieldT> ftp(ix);
SpatialOps::Point::PointToField<FieldT> ptf(ix);
const SS::MemoryWindow mw2( SpatialOps::structured::IntVec(2,1,1) );
FieldT f2( mw2, bc, ghost, NULL );
ftp.apply_to_field( f, f2 );
status( f2[0] == 3.456, "Field2Point Interp (1)" );
status( f2[1] == 1.234, "Field2Point Interp (2)" );
f2[0] = -1.234;
f2[1] = -3.456;
ptf.apply_to_field( f2, f );
status( f[2] == -3.456, "Point2Field Interp (1)" );
status( f[4] == -1.234, "Point2Field Interp (2)" );
}
if( status.ok() ) return 0;
return -1;
}
int main() {
bc1( &x );
bc2( &x );
bc3( &x );
bcd( &x );
_PASS;
}
void BinnedCorr2<D1,D2>::processPairwise(
const SimpleField<D1,C>& field1, const SimpleField<D2,C>& field2, bool dots)
{
Assert(_coords == -1 || _coords == C);
_coords = C;
const long nobj = field1.getNObj();
const long nobj2 = field2.getNObj();
xdbg<<"field1 has "<<nobj<<" objects\n";
xdbg<<"field2 has "<<nobj2<<" objects\n";
Assert(nobj > 0);
Assert(nobj == nobj2);
const long sqrtn = long(sqrt(double(nobj)));
#ifdef _OPENMP
#pragma omp parallel
{
// Give each thread their own copy of the data vector to fill in.
BinnedCorr2<D1,D2> bc2(*this,false);
#else
BinnedCorr2<D1,D2>& bc2 = *this;
#endif
#ifdef _OPENMP
#pragma omp for schedule(static)
#endif
for (long i=0;i<nobj;++i) {
// Let the progress dots happen every sqrt(n) iterations.
if (dots && (i % sqrtn == 0)) {
#ifdef _OPENMP
#pragma omp critical
#endif
{
//xdbg<<omp_get_thread_num()<<" "<<i<<std::endl;
std::cout<<'.'<<std::flush;
}
}
const Cell<D1,C>& c1 = *field1.getCells()[i];
const Cell<D2,C>& c2 = *field2.getCells()[i];
const double dsq = MetricHelper<M>::DistSq(c1.getPos(),c2.getPos());
if (dsq >= _minsepsq && dsq < _maxsepsq) {
bc2.template directProcess11<C,M>(c1,c2,dsq);
}
}
#ifdef _OPENMP
// Accumulate the results
#pragma omp critical
{
*this += bc2;
}
}
#endif
if (dots) std::cout<<std::endl;
}
CCommandQueue::iterator CCommandAI::GetCancelQueued(const Command& c, CCommandQueue& q)
{
CCommandQueue::iterator ci = q.end();
while (ci != q.begin()) {
--ci; //iterate from the end and dont check the current order
const Command& c2 = *ci;
const int cmdID = c.GetID();
const int cmd2ID = c2.GetID();
const bool attackAndFight = (cmdID == CMD_ATTACK && cmd2ID == CMD_FIGHT && c2.params.size() == 1);
if (c2.params.size() != c.params.size())
continue;
if ((cmdID == cmd2ID) || (cmdID < 0 && cmd2ID < 0) || attackAndFight) {
if (c.params.size() == 1) {
// assume the param is a unit-ID or feature-ID
if ((c2.params[0] == c.params[0]) &&
(cmd2ID != CMD_SET_WANTED_MAX_SPEED)) {
return ci;
}
}
else if (c.params.size() >= 3) {
if (cmdID < 0) {
BuildInfo bc1(c);
BuildInfo bc2(c2);
if (bc1.def == NULL) continue;
if (bc2.def == NULL) continue;
if (math::fabs(bc1.pos.x - bc2.pos.x) * 2 <= std::max(bc1.GetXSize(), bc2.GetXSize()) * SQUARE_SIZE &&
math::fabs(bc1.pos.z - bc2.pos.z) * 2 <= std::max(bc1.GetZSize(), bc2.GetZSize()) * SQUARE_SIZE) {
return ci;
}
} else {
// assume c and c2 are positional commands
const float3& c1p = c.GetPos(0);
const float3& c2p = c2.GetPos(0);
if ((c1p - c2p).SqLength2D() >= (COMMAND_CANCEL_DIST * COMMAND_CANCEL_DIST))
continue;
if ((c.options & SHIFT_KEY) != 0 && (c.options & INTERNAL_ORDER) != 0)
continue;
return ci;
}
}
}
}
return q.end();
}
void BinnedCorr2<D1,D2>::process(const Field<D1,C>& field1, const Field<D2,C>& field2,
bool dots)
{
Assert(_coords == -1 || _coords == C);
_coords = C;
const long n1 = field1.getNTopLevel();
const long n2 = field2.getNTopLevel();
xdbg<<"field1 has "<<n1<<" top level nodes\n";
xdbg<<"field2 has "<<n2<<" top level nodes\n";
Assert(n1 > 0);
Assert(n2 > 0);
#ifdef _OPENMP
#pragma omp parallel
{
// Give each thread their own copy of the data vector to fill in.
BinnedCorr2<D1,D2> bc2(*this,false);
#else
BinnedCorr2<D1,D2>& bc2 = *this;
#endif
#ifdef _OPENMP
#pragma omp for schedule(dynamic)
#endif
for (int i=0;i<n1;++i) {
#ifdef _OPENMP
#pragma omp critical
#endif
{
//dbg<<omp_get_thread_num()<<" "<<i<<std::endl;
if (dots) std::cout<<'.'<<std::flush;
}
const Cell<D1,C>& c1 = *field1.getCells()[i];
for (int j=0;j<n2;++j) {
const Cell<D2,C>& c2 = *field2.getCells()[j];
bc2.process11<C,M>(c1,c2);
}
}
#ifdef _OPENMP
// Accumulate the results
#pragma omp critical
{
*this += bc2;
}
}
#endif
if (dots) std::cout<<std::endl;
}
CCommandQueue::iterator CCommandAI::GetCancelQueued(const Command& c, CCommandQueue& q)
{
CCommandQueue::iterator ci = q.end();
while (ci != q.begin()) {
--ci; //iterate from the end and dont check the current order
const Command& c2 = *ci;
const int& cmd_id = c.GetID();
const int& cmd2_id = c2.GetID();
if (((cmd_id == cmd2_id) || ((cmd_id < 0) && (cmd2_id < 0))
|| (cmd2_id == CMD_FIGHT && cmd_id == CMD_ATTACK && c2.params.size() == 1))
&& (c2.params.size() == c.params.size())) {
if (c.params.size() == 1) {
// assume the param is a unit-ID or feature-ID
if ((c2.params[0] == c.params[0]) &&
(cmd2_id != CMD_SET_WANTED_MAX_SPEED)) {
return ci;
}
}
else if (c.params.size() >= 3) {
if (cmd_id < 0) {
BuildInfo bc(c);
BuildInfo bc2(c2);
if (bc.def && bc2.def
&& fabs(bc.pos.x - bc2.pos.x) * 2 <= std::max(bc.GetXSize(), bc2.GetXSize()) * SQUARE_SIZE
&& fabs(bc.pos.z - bc2.pos.z) * 2 <= std::max(bc.GetZSize(), bc2.GetZSize()) * SQUARE_SIZE) {
return ci;
}
} else {
// assume this means that the first 3 makes a position
float3 cp(c.params[0], c.params[1], c.params[2]);
float3 c2p(c2.params[0], c2.params[1], c2.params[2]);
if ((cp - c2p).SqLength2D() < (17.0f * 17.0f)) {
return ci;
}
}
}
}
}
return q.end();
}
int main(){
Simple_window win(Point(100, 100), 600, 400, "Bar_chart");
Bar_chart bc1(Point(0, 0), win.x_max() / 2, win.y_max() / 2);
bc1.add_data(100);
bc1.add_data(600);
bc1.add_data(300);
bc1.add_data(700);
bc1.add_data(200);
Bar_chart bc2(Point(win.x_max() / 2, win.y_max() / 2), win.x_max() / 2, win.y_max() / 2);
bc2.add_data(30, "7", Color::yellow);
bc2.add_data(180, "1", Color::red);
bc2.add_data(20, "8", Color::blue);
bc2.add_data(150, "2", Color::yellow);
bc2.add_data(70, "5", Color::yellow);
bc2.add_data(40, "6", Color::yellow);
bc2.add_data(130, "3", Color::yellow);
bc2.add_data(90, "4", Color::yellow);
win.attach(bc1);
win.attach(bc2);
win.wait_for_button();
}
void TestUseCoarsePdeMesh() throw(Exception)
{
EXIT_IF_PARALLEL;
// Create a cell population
HoneycombMeshGenerator generator(4, 4, 0);
MutableMesh<2,2>* p_generating_mesh = generator.GetMesh();
NodesOnlyMesh<2> mesh;
mesh.ConstructNodesWithoutMesh(*p_generating_mesh, 1.5);
std::vector<CellPtr> cells;
CellsGenerator<FixedDurationGenerationBasedCellCycleModel, 2> cells_generator;
cells_generator.GenerateBasic(cells, mesh.GetNumNodes());
NodeBasedCellPopulation<2> cell_population(mesh, cells);
// Create a PDE handler object using this cell population
CellBasedPdeHandler<2> pde_handler(&cell_population);
// Test that UseCoarsePdeMesh() throws an exception if no PDEs are specified
ChastePoint<2> lower(0.0, 0.0);
ChastePoint<2> upper(9.0, 9.0);
ChasteCuboid<2> cuboid(lower, upper);
TS_ASSERT_THROWS_THIS(pde_handler.UseCoarsePdeMesh(3.0, cuboid, true),
"mPdeAndBcCollection should be populated prior to calling UseCoarsePdeMesh().");
// Set up PDE and pass to handler
AveragedSourcePde<2> pde(cell_population, -0.1);
ConstBoundaryCondition<2> bc(1.0);
PdeAndBoundaryConditions<2> pde_and_bc(&pde, &bc, false);
pde_handler.AddPdeAndBc(&pde_and_bc);
// Test UseCoarsePdeMesh() again
pde_handler.UseCoarsePdeMesh(3.0, cuboid, true);
// Test that the coarse mesh has the correct number of nodes and elements
TetrahedralMesh<2,2>* p_coarse_mesh = pde_handler.GetCoarsePdeMesh();
TS_ASSERT_EQUALS(p_coarse_mesh->GetNumNodes(), 16u);
TS_ASSERT_EQUALS(p_coarse_mesh->GetNumElements(), 18u);
// Find centre of cell population
c_vector<double,2> centre_of_cell_population = cell_population.GetCentroidOfCellPopulation();
// Find centre of coarse PDE mesh
c_vector<double,2> centre_of_coarse_pde_mesh = zero_vector<double>(2);
for (unsigned i=0; i<p_coarse_mesh->GetNumNodes(); i++)
{
centre_of_coarse_pde_mesh += p_coarse_mesh->GetNode(i)->rGetLocation();
}
centre_of_coarse_pde_mesh /= p_coarse_mesh->GetNumNodes();
// Test that the two centres match
c_vector<double,2> centre_difference = centre_of_cell_population - centre_of_coarse_pde_mesh;
TS_ASSERT_DELTA(norm_2(centre_difference), 0.0, 1e-4);
// Test that UseCoarsePdeMesh() throws an exception if the wrong type of PDE is specified
SimpleUniformSourcePde<2> pde2(-0.1);
ConstBoundaryCondition<2> bc2(1.0);
PdeAndBoundaryConditions<2> pde_and_bc2(&pde2, &bc2, false);
pde_and_bc2.SetDependentVariableName("second variable");
pde_handler.AddPdeAndBc(&pde_and_bc2);
TS_ASSERT_THROWS_THIS(pde_handler.UseCoarsePdeMesh(3.0, cuboid, true),
"UseCoarsePdeMesh() should only be called if averaged-source PDEs are specified.");
// Now test the 1D case
std::vector<Node<1>*> nodes_1d;
nodes_1d.push_back(new Node<1>(0, true, 0.0));
NodesOnlyMesh<1> mesh_1d;
mesh_1d.ConstructNodesWithoutMesh(nodes_1d, 1.5);
std::vector<CellPtr> cells_1d;
CellsGenerator<FixedDurationGenerationBasedCellCycleModel, 1> cells_generator_1d;
cells_generator_1d.GenerateBasic(cells_1d, mesh_1d.GetNumNodes());
NodeBasedCellPopulation<1> cell_population_1d(mesh_1d, cells_1d);
CellBasedPdeHandler<1> pde_handler_1d(&cell_population_1d);
AveragedSourcePde<1> pde_1d(cell_population_1d, -0.1);
ConstBoundaryCondition<1> bc_1d(1.0);
PdeAndBoundaryConditions<1> pde_and_bc_1d(&pde_1d, &bc_1d, false);
pde_handler_1d.AddPdeAndBc(&pde_and_bc_1d);
ChastePoint<1> lower1(0.0);
ChastePoint<1> upper1(9.0);
ChasteCuboid<1> cuboid1(lower1, upper1);
pde_handler_1d.UseCoarsePdeMesh(3.0, cuboid1, true);
// Test that the coarse mesh has the correct number of nodes and elements
TetrahedralMesh<1,1>* p_coarse_mesh_1d = pde_handler_1d.GetCoarsePdeMesh();
TS_ASSERT_EQUALS(p_coarse_mesh_1d->GetNumNodes(), 4u);
TS_ASSERT_EQUALS(p_coarse_mesh_1d->GetNumElements(), 3u);
// Now test the 3D case
std::vector<Node<3>*> nodes_3d;
nodes_3d.push_back(new Node<3>(0, true, 0.0));
NodesOnlyMesh<3> mesh_3d;
mesh_3d.ConstructNodesWithoutMesh(nodes_3d, 1.5);
std::vector<CellPtr> cells_3d;
CellsGenerator<FixedDurationGenerationBasedCellCycleModel, 3> cells_generator_3d;
cells_generator_3d.GenerateBasic(cells_3d, mesh_3d.GetNumNodes());
NodeBasedCellPopulation<3> cell_population_3d(mesh_3d, cells_3d);
CellBasedPdeHandler<3> pde_handler_3d(&cell_population_3d);
AveragedSourcePde<3> pde_3d(cell_population_3d, -0.1);
ConstBoundaryCondition<3> bc_3d(1.0);
PdeAndBoundaryConditions<3> pde_and_bc_3d(&pde_3d, &bc_3d, false);
pde_handler_3d.AddPdeAndBc(&pde_and_bc_3d);
ChastePoint<3> lower3(0.0, 0.0, 0.0);
ChastePoint<3> upper3(9.0, 9.0, 9.0);
ChasteCuboid<3> cuboid3(lower3, upper3);
pde_handler_3d.UseCoarsePdeMesh(3.0, cuboid3, true);
// Test that the coarse mesh has the correct number of nodes and elements
TetrahedralMesh<3,3>* p_coarse_mesh_3d = pde_handler_3d.GetCoarsePdeMesh();
TS_ASSERT_EQUALS(p_coarse_mesh_3d->GetNumNodes(), 64u);
TS_ASSERT_EQUALS(p_coarse_mesh_3d->GetNumElements(), 162u);
// Avoid memory leak
for (unsigned i=0; i<nodes_1d.size(); i++)
{
delete nodes_1d[i];
delete nodes_3d[i];
}
}
int main(int argc, char **argv)
{
dest_x=0;
dest_y=6000;
v = 200;
numberofobjects = 2;
v1 = 100;
ra[0][5] = 400;
ra[1][5] = 400;
ra[2][5] = 400;
ra[3][5] = 400;
//argv[1]="-rh";
//argv[2]="10.2.36.7";
//argc=3;
BotConnector bc(argc, argv);
if( bc.connect() )
{
printf( "Connected to Robot\n" );
}
else
{
printf( "Connection attempt to Robot failed, Sorry :(\n" );
return EXIT_SUCCESS;
}
argv[1]="-rrtp";
argv[2]="8102";
argc=3;
BotConnector bc1(argc, argv);
if( bc1.connect() )
{
printf( "Connected to Robot1\n" );
}
else
{
printf( "Connection attempt to Robot failed, Sorry :(\n" );
return EXIT_SUCCESS;
}
// bc.setRobotVelocity_idle(100,100); // initialising vr and vl
bc.setRobotVelocity(100,100, 10000);
bc.getAngles(0);// updating ra[][].
// omnicx = ra[0][1]+ra[0][5]*cos(ra[0][0]);
// omnicy = ra[0][2]+ra[0][5]*sin(ra[0][0]);
//bc1.moveRobot(0,90);
//bc1.setRobotVelocity(100,100, 10000);
bc1.moveRobot(6000,90);
//bc1.setRobotVelocity(100,100, 30000);
bc1.moveRobot(0,180);
argv[1]="-rrtp";
argv[2]="8103";
argc=3;
BotConnector bc2(argc, argv);
if( bc2.connect() )
{
printf( "Connected to Robot2\n" );
}
else
{
printf( "Connection attempt to Robot failed, Sorry :(\n" );
return EXIT_SUCCESS;
}
bc2.moveRobot(2000,90);
//bc2.setRobotVelocity(100,100, 20000);
bc2.moveRobot(2000,-45);
//bc2.setRobotVelocity(200,200, 25000);
bc2.moveRobot(0,135);
/* argv[1]="-rrtp";
argv[2]="8104";
argc=3;
BotConnector bc3(argc, argv);
if( bc3.connect() )
{
printf( "Connected to Robot\n" );
}
else
{
printf( "Connection attempt to Robot failed, Sorry :(\n" );
return EXIT_SUCCESS;
}
//bc.setVelocity1(-100,-100, 10000);
bc3.moveRobot(0,90);
bc3.setRobotVelocity(150,150, 30000);
bc3.moveRobot(0,-125);
bc3.setRobotVelocity(100,100, 20000);
bc3.moveRobot(0,180);*/
/*argv[1]="-rrtp";
argv[2]="8105";
argc=3;
BotConnector bc4(argc, argv);
if( bc4.connect() )
{
printf( "Connected to Robot\n" );
}
else
{
printf( "Connection attempt to Robot failed, Sorry :(\n" );
return EXIT_SUCCESS;
}
//bc.setVelocity1(-100,-100, 10000);
bc4.getAngles(4);
bc4.moveRobot(0,90);
bc4.setRobotVelocity(100,100, 40000);
bc4.moveRobot(0,0);
bc4.setRobotVelocity(200,200, 25000);
bc4.moveRobot(0,180);
argv[1]="-rrtp";
argv[2]="8106";
argc=3;
BotConnector bc5(argc, argv);
if( bc5.connect() )
{
printf( "Connected to Robot\n" );
}
else
{
printf( "Connection attempt to Robot failed, Sorry :(\n" );
return EXIT_SUCCESS;
}
//bc.setVelocity1(-100,-100, 10000);
bc5.getAngles(5);
bc5.moveRobot(0,90);
bc5.setRobotVelocity(200,200, 25000);
bc5.moveRobot(0,-80);
bc5.setRobotVelocity(300,300, 15000);
bc5.moveRobot(0,180);*/
bc.setRobotVelocity(-100,-100, 10000);
bc.moveRobot(0,90);
bc.getAngles(0);
bc1.getAngles(1);
bc2.getAngles(2);
omnicx = ra[0][1];
omnicy = ra[0][2]+300;
//bc3.getAngles(3);
/*bc4.getAngles(4);
bc5.getAngles(5);*/
ArUtil::sleep(5000);
int f;
for(f=0;f<200;f++)
{
float dest,dest1;
int j;
dest = tan_inv((dest_y-omnicy),(dest_x-omnicx));
j=update(dest);
right_left();
// robot_motion();
bc.setRobotVelocity_idle(vright,vleft);
bc1.setRobotVelocity_idle(100,100);
bc2.setRobotVelocity_idle(100,100);
// bc3.setRobotVelocity_idle(250,250);
/*bc4.setRobotVelocity_idle(250,250);
bc5.setRobotVelocity_idle(250,250);*/
ArUtil::sleep(300);
bc.getAngles(0);
bc1.getAngles(1);
bc2.getAngles(2);
//bc3.getAngles(3);
omnicx = omnicx+ra[0][3]*0.3;
omnicy = omnicy+ra[0][4]*0.3;
/*bc.setRobotVelocity_idle(0,0);
bc1.setRobotVelocity_idle(0,0);
bc2.setRobotVelocity_idle(0,0);
bc3.setRobotVelocity_idle(0,0);*/
// omnicx = ra[0][1]+ra[0][5]*cos(ra[0][0]);
//omnicy = ra[0][2]+ra[0][5]*sin(ra[0][0]);
printf("omnicx = %f, omnicy = %f\n",omnicx,omnicy);
printf("x = %d",f);
/* bc3.getAngles(3);
bc4.getAngles(4);
bc5.getAngles(5);*/
}
return bc.disconnect();
}
int main(int argc, char* argv[])
{
// Initialize POOMA and Tester class.
Pooma::initialize(argc, argv);
Pooma::Tester tester(argc, argv);
tester.out() << argv[0] << ": KillBC with expressions" << std::endl;
tester.out() << "------------------------------------------------"
<< std::endl;
// First create a Particles object with some Attributes for BC's to act upon.
tester.out() << "Creating Particles object with DynamicArray attributes ..."
<< std::endl;
UniformLayout pl(Pooma::contexts());
#if POOMA_MESSAGING
MyParticles<MPRemoteDynamicUniform> P(pl);
#else
MyParticles<MPDynamicUniform> P(pl);
#endif
if (Pooma::context() == 0)
P.create(10,0,false);
P.sync(P.a1);
// Initialize the arrays with scalars.
// Block since we're starting scalar code.
Pooma::blockAndEvaluate();
tester.out() << "Initializing DynamicArray objects ..."
<< std::endl;
int i;
for (i=0; i < P.size(); ++i) {
P.a1(i) = 0.1 * i;
P.a2(i) = 0.25 * i - 1.5;
}
tester.out() << "Initialization complete:" << std::endl;
tester.out() << " a1 = " << P.a1 << std::endl;
tester.out() << " a2 = " << P.a2 << std::endl;
tester.out() << " a1*a1+a2*a2 = " << P.a1 * P.a1 + P.a2 * P.a2
<< std::endl;
// Create a KillBC
tester.out() << "Creating a Particle KillBC object ..."
<< std::endl;
// For each BC, we construct the BCType with boundary values.
// Then we add a ParticleBC with this type to our list, and we provide
// the subject of the BC (and the object, if different).
// For the KillBC, object must be the Particles object itself.
KillBC<double> bc1(0.0, 0.8);
P.addBoundaryCondition(P.a1 * P.a1 + P.a2 * P.a2, P, bc1);
// Apply boundary condition and display the results
tester.out() << "Applying the boundary conditions ..." << std::endl;
tester.out() << "Before BC's, Particles = " << P << std::endl;
P.applyBoundaryConditions();
tester.out() << "After BC's, Particles = " << P << std::endl;
P.performDestroy();
Pooma::blockAndEvaluate();
tester.out() << "Status after applying BC: " << std::endl;
tester.out() << " a1 = " << P.a1 << std::endl;
tester.out() << " a2 = " << P.a2 << std::endl;
tester.check(P.size() == 5);
// Let's also try a KillBC on a free-standing DynamicArray.
tester.out() << "Creating a free-standing DynamicArray ..." << std::endl;
#if POOMA_MESSAGING
DynamicArray< Vector<2,int>, MultiPatch< DynamicTag, Remote<Dynamic> > > a3;
#else
DynamicArray< Vector<2,int>, MultiPatch<DynamicTag,Dynamic> > a3;
#endif
Interval<1> empty;
DynamicLayout layout(empty, Pooma::contexts());
a3.initialize(layout);
int npc = 20 / Pooma::contexts();
int rem = 20 % Pooma::contexts();
if (Pooma::context() < rem) npc++;
a3.create(npc);
a3.layout().sync();
Pooma::blockAndEvaluate();
for (i=0; i<a3.domain().size(); ++i)
a3(i) = Vector<2,int>(i,2*i+1);
tester.out() << "Initialization complete." << std::endl;
tester.out() << "a3 = " << a3 << std::endl;
// Now construct a KillBC for this DynamicArray and apply it
tester.out() << "Creating a DynamicArray KillBC object ..." << std::endl;
KillBC< Vector<2,int> > bc2(Vector<2,int>(2,2), Vector<2,int>(24,24));
ParticleBCItem* killbc2 = bc2.create(a3);
tester.out() << "Applying the boundary condition ..." << std::endl;
killbc2->applyBoundaryCondition();
a3.layout().sync();
Pooma::blockAndEvaluate();
tester.out() << "Status after applying BC:" << std::endl;
tester.out() << "a3 = " << a3 << std::endl;
tester.check(a3.domain().size() == 10);
// Delete the ParticleBC that we created
delete killbc2;
// Return resulting error code and shut down POOMA.
tester.out() << "------------------------------------------------"
<< std::endl;
int retval = tester.results("KillBC with expression");
Pooma::finalize();
return retval;
}
int main(int argc, char* argv[])
{
// Load the mesh.
Mesh mesh;
H2DReader mloader;
mloader.load("domain.mesh", &mesh);
// Perform uniform mesh refinement.
for(int i = 0; i < INIT_REF_NUM; i++) mesh.refine_all_elements(2); // 2 is for vertical split.
// Initialize boundary conditions
DefaultEssentialBCConst bc1(BDY_PERFECT, 0.0);
EssentialBCNonConst bc2(BDY_LEFT);
EssentialBCs bcs(Hermes::vector<EssentialBoundaryCondition *>(&bc1, &bc2));
// Create an H1 space with default shapeset.
H1Space e_r_space(&mesh, &bcs, P_INIT);
H1Space e_i_space(&mesh, &bcs, P_INIT);
int ndof = Space::get_num_dofs(&e_r_space);
info("ndof = %d", ndof);
// Initialize the weak formulation
// Weak forms for real and imaginary parts
// Initialize the weak formulation.
WeakFormHelmholtz wf(eps, mu, omega, sigma, beta, E0, h);
// Initialize the FE problem.
bool is_linear = true;
DiscreteProblem dp(&wf, Hermes::vector<Space *>(&e_r_space, &e_i_space), is_linear);
// Set up the solver, matrix, and rhs according to the solver selection.
SparseMatrix* matrix = create_matrix(matrix_solver);
Vector* rhs = create_vector(matrix_solver);
Solver* solver = create_linear_solver(matrix_solver, matrix, rhs);
// Initialize the solutions.
Solution e_r_sln, e_i_sln;
// Assemble the stiffness matrix and right-hand side vector.
info("Assembling the stiffness matrix and right-hand side vector.");
dp.assemble(matrix, rhs);
// Solve the linear system and if successful, obtain the solutions.
info("Solving the matrix problem.");
if(solver->solve())
Solution::vector_to_solutions(solver->get_solution(),
Hermes::vector<Space *>(&e_r_space, &e_i_space),
Hermes::vector<Solution *>(&e_r_sln, &e_i_sln));
else
error ("Matrix solver failed.\n");
// Visualize the solution.
ScalarView viewEr("Er [V/m]", new WinGeom(0, 0, 800, 400));
viewEr.show(&e_r_sln);
// viewEr.save_screenshot("real_part.bmp");
ScalarView viewEi("Ei [V/m]", new WinGeom(0, 450, 800, 400));
viewEi.show(&e_i_sln);
// viewEi.save_screenshot("imaginary_part.bmp");
// Wait for the view to be closed.
View::wait();
// Clean up.
delete solver;
delete matrix;
delete rhs;
return 0;
}
//Resolution of min 1/2 x^t A x + b^t x with x in [-4, +infinity]
//and x_1 in [-1.0, 0.7]
// x_2 in [-1.3, 1.4]
// x_3 in [-2.0, 2.1]
int main()
{
//Definition of the quadratic function
roboptim::Function::matrix_t A( 3,3 );
roboptim::Function::vector_t b( 3 );
A << 1,7,4,7,3,6,4,6,2;
b << 1,3,4;
roboptim::NumericQuadraticFunction f( A, b );
//Testing f([1,1,1])
roboptim::Function::vector_t x( 3 );
x << 1,1,1;
std::cout << "f(x) = " << f( x ) << std::endl;
//Definition the constraint x_min < x < x_max
roboptim::Function::vector_t offset( 3 );
boost::shared_ptr< roboptim::IdentityFunction > c1(
new roboptim::IdentityFunction( offset ) );
//Definition of another constraint 0 < Ax +b < +infinity
roboptim::Function::matrix_t Ac2( 3,3 );
roboptim::Function::vector_t bc2( 3 );
Ac2 << 2,3,1,7,1,0,3,5,2;
bc2 << 4,3,4;
boost::shared_ptr< roboptim::NumericLinearFunction > c2(
new roboptim::NumericLinearFunction(Ac2, bc2) );
//Test c([1,1,1])
roboptim::IdentityFunction c1_el = *c1.get();
std::cout << "c1(x) = [" << c1_el( x ) << "]" << std::endl;
//Creation of the problem
solver_t::problem_t pb ( f );
std::cout << "problem input size : " << pb.function().inputSize() << std::endl;
std::cout << "problem output size : " << pb.function().outputSize() << std::endl;
//Set bounds for x in f(x)
roboptim::Function::intervals_t function_arg_bounds;
for( unsigned int i=0; i< pb.function().inputSize(); ++i ){
roboptim::Function::interval_t x_bound = roboptim::Function::makeInterval( -4.0, roboptim::Function::infinity() );
function_arg_bounds.push_back( x_bound );
}
pb.argumentBounds() = function_arg_bounds;
//Set bounds for constraints: x_min and x_max
roboptim::Function::intervals_t constraint_bounds;
roboptim::Function::interval_t c1_0 = roboptim::Function::makeInterval( -1.0, 0.7 );
roboptim::Function::interval_t c1_1 = roboptim::Function::makeInterval( -1.3, 1.4 );
roboptim::Function::interval_t c1_2 = roboptim::Function::makeInterval( -2.0, 2.1 );
constraint_bounds.push_back( c1_0 );
constraint_bounds.push_back( c1_1 );
constraint_bounds.push_back( c1_2 );
//Set bounds for c2
roboptim::Function::intervals_t c2_bounds;
for( unsigned int i=0; i< pb.function().inputSize(); ++i ){
roboptim::Function::interval_t c2_interval = roboptim::Function::makeLowerInterval( 0 );
c2_bounds.push_back(c2_interval);
}
//Set scales for the problem
solver_t::problem_t::scales_t scales(pb.function().inputSize(), 1.0);
//Add constraint
pb.addConstraint(
boost::static_pointer_cast<
roboptim::GenericLinearFunction<roboptim::EigenMatrixDense> >
(c1), constraint_bounds, scales );
pb.addConstraint(
boost::static_pointer_cast<
roboptim::GenericLinearFunction<roboptim::EigenMatrixDense> >
(c2), c2_bounds, scales);
//Set initial guess
roboptim::NumericQuadraticFunction::argument_t x_init( 3 );
x_init << 0.4,0.0,0.2;
pb.startingPoint() = x_init;
//Set path of the roboptim-core-plugin-ipopt.so so that libltdl finds the lib.
//The path is detected in the CMakeLists.txt which will substitute the variable PLUGIN_PATH during the compilation
//Those two lines can be omitted if the environment variable LD_LIBRARY_PATH contains the path of the plugin
lt_dlinit();
lt_dlsetsearchpath (PLUGIN_PATH);
roboptim::SolverFactory<solver_t> factory ("ipopt", pb);
solver_t& solver = factory ();
solver_t::result_t res = solver.minimum ();
std::cout << solver << std::endl;
// Check if the minimization has succeed.
if (res.which () != solver_t::SOLVER_VALUE)
{
std::cout << "A solution should have been found. Failing..."
<< std::endl
<< boost::get<roboptim::SolverError> (res).what ()
<< std::endl;
return 0;
}
// Get the result.
roboptim::Result& result = boost::get<roboptim::Result> (res);
std::cout << "A solution has been found: " << std::endl
<< result << std::endl;
return 1;
}
int main(int argc, char* argv[])
{
// Load the mesh.
Mesh mesh;
MeshReaderH2D mloader;
mloader.load("domain.mesh", &mesh);
// Perform uniform mesh refinement.
// 2 is for vertical split.
for(int i = 0; i < INIT_REF_NUM; i++) mesh.refine_all_elements(2);
// Initialize boundary conditions
DefaultEssentialBCConst<double> bc1("Bdy_perfect", 0.0);
EssentialBCNonConst bc2("Bdy_left");
DefaultEssentialBCConst<double> bc3("Bdy_left", 0.0);
EssentialBCs<double> bcs(Hermes::vector<EssentialBoundaryCondition<double> *>(&bc1, &bc2));
EssentialBCs<double> bcs_im(Hermes::vector<EssentialBoundaryCondition<double> *>(&bc1, &bc3));
// Create an H1 space with default shapeset.
H1Space<double> e_r_space(&mesh, &bcs, P_INIT);
H1Space<double> e_i_space(&mesh, &bcs_im, P_INIT);
int ndof = Space<double>::get_num_dofs(&e_r_space);
Hermes::Mixins::Loggable::Static::info("ndof = %d", ndof);
// Initialize the weak formulation.
WeakFormHelmholtz wf(eps, mu, omega, sigma, beta, E0, h);
// Initialize the FE problem.
DiscreteProblem<double> dp(&wf, Hermes::vector<const Space<double>*>(&e_r_space, &e_i_space));
// Initialize the solutions.
Solution<double> e_r_sln, e_i_sln;
// Initial coefficient vector for the Newton's method.
ndof = Space<double>::get_num_dofs(Hermes::vector<const Space<double>*>(&e_r_space, &e_i_space));
Hermes::Hermes2D::NewtonSolver<double> newton(&dp);
try
{
newton.set_newton_tol(NEWTON_TOL);
newton.set_newton_max_iter(NEWTON_MAX_ITER);
newton.solve();
}
catch(Hermes::Exceptions::Exception e)
{
e.printMsg();
throw Hermes::Exceptions::Exception("Newton's iteration failed.");
};
// Translate the resulting coefficient vector into Solutions.
Solution<double>::vector_to_solutions(newton.get_sln_vector(), Hermes::vector<const Space<double>*>(&e_r_space, &e_i_space),
Hermes::vector<Solution<double>*>(&e_r_sln, &e_i_sln));
// Visualize the solution.
ScalarView viewEr("Er [V/m]", new WinGeom(0, 0, 800, 400));
viewEr.show(&e_r_sln);
// viewEr.save_screenshot("real_part.bmp");
ScalarView viewEi("Ei [V/m]", new WinGeom(0, 450, 800, 400));
viewEi.show(&e_i_sln);
// viewEi.save_screenshot("imaginary_part.bmp");
// Wait for the view to be closed.
View::wait();
return 0;
}