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OnRelaxation.mo
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OnRelaxation.mo
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/*
* This file is part of OpenModelica.
*
* Copyright (c) 1998-2014, Open Source Modelica Consortium (OSMC),
* c/o Linköpings universitet, Department of Computer and Information Science,
* SE-58183 Linköping, Sweden.
*
* All rights reserved.
*
* THIS PROGRAM IS PROVIDED UNDER THE TERMS OF GPL VERSION 3 LICENSE OR
* THIS OSMC PUBLIC LICENSE (OSMC-PL) VERSION 1.2.
* ANY USE, REPRODUCTION OR DISTRIBUTION OF THIS PROGRAM CONSTITUTES
* RECIPIENT'S ACCEPTANCE OF THE OSMC PUBLIC LICENSE OR THE GPL VERSION 3,
* ACCORDING TO RECIPIENTS CHOICE.
*
* The OpenModelica software and the Open Source Modelica
* Consortium (OSMC) Public License (OSMC-PL) are obtained
* from OSMC, either from the above address,
* from the URLs: http://www.ida.liu.se/projects/OpenModelica or
* http://www.openmodelica.org, and in the OpenModelica distribution.
* GNU version 3 is obtained from: http://www.gnu.org/copyleft/gpl.html.
*
* This program is distributed WITHOUT ANY WARRANTY; without
* even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE, EXCEPT AS EXPRESSLY SET FORTH
* IN THE BY RECIPIENT SELECTED SUBSIDIARY LICENSE CONDITIONS OF OSMC-PL.
*
* See the full OSMC Public License conditions for more details.
*
*/
encapsulated package OnRelaxation "
file: OnRelaxation.mo
package: OnRelaxation
description: Relaxation for MultiBody Systems"
public import BackendDAE;
public import DAE;
protected
import AdjacencyMatrix;
import Array;
import BackendDAEEXT;
import BackendDAETransform;
import BackendDAEUtil;
import BackendDump;
import BackendEquation;
import BackendVariable;
import BaseHashSet;
import ComponentReference;
import Differentiate;
import DumpGraphML;
import Expression;
import ExpressionDump;
import ExpressionSimplify;
import HashSet;
import HashTable4;
import List;
import Matching;
import MetaModelica.Dangerous;
import Sorting;
import SymbolicJacobian;
import Util;
/*
* relaxation from gausian elemination
*
*/
public function relaxSystem "author: Frenkel TUD 2011-05"
input BackendDAE.BackendDAE inDAE;
output BackendDAE.BackendDAE outDAE;
algorithm
(outDAE, _) := BackendDAEUtil.mapEqSystemAndFold(inDAE, relaxSystem0, false);
end relaxSystem;
protected function relaxSystem0 "author: Frenkel TUD 2011-05"
input BackendDAE.EqSystem isyst;
input BackendDAE.Shared inShared;
input Boolean inChanged;
output BackendDAE.EqSystem osyst;
output BackendDAE.Shared outShared;
output Boolean outChanged;
protected
BackendDAE.StrongComponents comps;
Boolean b, b1, b2;
BackendDAE.Shared shared;
BackendDAE.EqSystem syst;
algorithm
BackendDAE.EQSYSTEM(matching=BackendDAE.MATCHING(comps=comps)) := isyst;
(osyst, outShared, b2) := relaxSystem1(isyst, inShared, comps);
outChanged := inChanged or b2;
end relaxSystem0;
protected function relaxSystem1 "author: Frenkel TUD 2011-05"
input BackendDAE.EqSystem isyst;
input BackendDAE.Shared ishared;
input BackendDAE.StrongComponents inComps;
output BackendDAE.EqSystem osyst;
output BackendDAE.Shared oshared;
output Boolean outRunMatching;
algorithm
(osyst, oshared, outRunMatching):=
matchcontinue (isyst, ishared, inComps)
local
list<Integer> eindex, vindx, eorphans, vorphans, unassigned, otherorphans, roots, constraints, constraintresidual;
Boolean b, b1;
BackendDAE.EqSystem syst, subsyst;
BackendDAE.Shared shared;
BackendDAE.StrongComponents comps;
BackendDAE.StrongComponent comp, comp1;
array<Integer> ass1, ass2, vec2, rowmarks, colummarks, mapIncRowEqn, orowmarks, ocolummarks;
Integer size, mark, esize;
list<BackendDAE.Equation> eqn_lst;
list<BackendDAE.Var> var_lst;
BackendDAE.Variables vars, tvars;
BackendDAE.EquationArray eqns, teqns;
BackendDAE.AdjacencyMatrix m, m1, mc;
BackendDAE.AdjacencyMatrixT mt, mct;
list<tuple<Integer, Integer, BackendDAE.Equation>> jac;
list<DAE.Exp> beqs;
array<list<tuple<Integer, DAE.Exp>>> matrix;
array<DAE.Exp> crefexps;
list<DAE.Exp> crefexplst;
array<list<Integer>> vorphansarray1, mapEqnIncRow, ass22, vec1;
list<BackendDAE.Equation> neweqns;
HashTable4.HashTable ht;
DAE.FunctionTree funcs;
case (_, _, {})
then (isyst, ishared, false);
case (_, shared as BackendDAE.SHARED(functionTree=funcs),
(BackendDAE.EQUATIONSYSTEM(eqns=eindex, vars=vindx, jac=BackendDAE.FULL_JACOBIAN(SOME(jac)), jacType=BackendDAE.JAC_LINEAR()))::comps)
equation
print("try to relax\n");
Util.profilerinit();
Util.profilerstart2();
Util.profilerstart1();
size = listLength(vindx);
esize = listLength(eindex);
ass1 = arrayCreate(size, -1);
ass2 = arrayCreate(size, -1);
eqn_lst = BackendEquation.getList(eindex, BackendEquation.getEqnsFromEqSystem(isyst));
eqns = BackendEquation.listEquation(eqn_lst);
var_lst = List.map1r(vindx, BackendVariable.getVarAt, BackendVariable.daeVars(isyst));
vars = BackendVariable.listVar1(var_lst);
subsyst = BackendDAEUtil.createEqSystem(vars, eqns);
(subsyst, m, mt, mapEqnIncRow, mapIncRowEqn) = BackendDAEUtil.getAdjacencyMatrixScalar(subsyst, BackendDAE.ABSOLUTE(), SOME(funcs), BackendDAEUtil.isInitializationDAE(ishared));
// BackendDump.dumpEqSystem(subsyst);
// Vector Matching a=f(..), f(..)=a
((_, ass1, ass2)) = List.fold1(eqn_lst, vectorMatching, vars, (1, ass1, ass2));
// Alias Matching only if one side is matched
((_, ass1, ass2)) = List.fold1(eqn_lst, aliasMatching, vars, (1, ass1, ass2));
// Vector matching
m1 = arrayCreate(size, {});
transformJacToAdjacencyMatrix2(jac, m1, mapIncRowEqn, eqns, ass1, ass2, isConstOneMinusOne);
Matching.matchingExternalsetAdjacencyMatrix(size, size, m1);
true = BackendDAEEXT.setAssignment(size, size, ass2, ass1);
BackendDAEEXT.matching(size, size, 5, -1, 1.0, 0);
BackendDAEEXT.getAssignment(ass2, ass1);
// Natural Matching - seems not to be good enough
//((_, ass1, ass2)) = List.fold1(eqn_lst, naturalMatching, vars, (1, ass1, ass2));
//((_, ass1, ass2)) = List.fold1(eqn_lst, naturalMatching1, vars, (1, ass1, ass2));
//((_, ass1, ass2)) = List.fold1(eqn_lst, naturalMatching2, vars, (1, ass1, ass2));
// subsyst = BackendDAEUtil.setEqSystemMatching(subsyst, BackendDAE.MATCHING(ass1, ass2, {}));
// DumpGraphML.dumpSystem(subsyst, shared, NONE(), intString(size) + "SystemVectorMatching.graphml");
// BackendDump.dumpMatching(ass1);
// BackendDump.dumpMatching(ass2);
// Boeser hack fuer FourBar
/*
(subsyst, m, mt, mapEqnIncRow, mapIncRowEqn) = BackendDAEUtil.getAdjacencyMatrixScalar(subsyst, BackendDAE.ABSOLUTE(), SOME(funcs));
temp::_ = mapEqnIncRow[72];
arrayUpdate(ass1, 90, temp);
arrayUpdate(ass2, temp, 90);
temp::_ = mapEqnIncRow[97];
arrayUpdate(ass1, 125, temp);
arrayUpdate(ass2, temp, 125);
temp::_ = mapEqnIncRow[99];
arrayUpdate(ass1, 128, temp);
arrayUpdate(ass2, temp, 128);
subsyst = BackendDAEUtil.setEqSystemMatching(subsyst, BackendDAE.MATCHING(ass1, ass2, {}));
DumpGraphML.dumpSystem(subsyst, shared, NONE(), intString(size) + "SystemHackMatching.graphml");
*/
// Matching based on Enhanced Adiacency Matrix, take care of the solvability - theems to be good but not good enough
// (subsyst, _, _) = BackendDAEUtil.getAdjacencyMatrix(subsyst, BackendDAE.ABSOLUTE(), SOME(funcs), BackendDAEUtil.isInitializationDAE(shared));
// BackendDump.dumpEqSystem(subsyst);
// dumpJacMatrix(jac, 1, 1, size, vars);
m1 = arrayCreate(size, {});
//mt1 = arrayCreate(size, {});
transformJacToAdjacencyMatrix1(jac, m1, ass1, ass2, isConstOneMinusOne);
// BackendDump.dumpAdjacencyMatrix(m1);
// BackendDump.dumpAdjacencyMatrixT(mt1);
//transformJacToAdjacencyMatrix(jac, 1, 1, size, m1, mt1, isConstOneMinusOne);
Matching.matchingExternalsetAdjacencyMatrix(size, size, m1);
true = BackendDAEEXT.setAssignment(size, size, ass2, ass1);
BackendDAEEXT.matching(size, size, 1, -1, 1.0, 0);
BackendDAEEXT.getAssignment(ass2, ass1);
// subsyst = BackendDAEUtil.setEqSystemMatching(subsyst, BackendDAE.MATCHING(ass1, ass2, {}));
// DumpGraphML.dumpSystem(subsyst, shared, NONE(), intString(size) + "SystemOneMatching.graphml");
// BackendDump.dumpMatching(ass1);
// BackendDump.dumpMatching(ass2);
// onefreeMatching
// print("mapEqnIncRow:\n");
// BackendDump.dumpAdjacencyMatrix(mapEqnIncRow);
unassigned = Matching.getUnassigned(size, ass2, {});
colummarks = arrayCreate(size, -1);
onefreeMatchingBFS(unassigned, m, mt, size, ass1, ass2, colummarks, 1, {});
// BackendDump.dumpMatching(ass1);
// BackendDump.dumpMatching(ass2);
// subsyst = BackendDAEUtil.setEqSystemMatching(subsyst, BackendDAE.MATCHING(ass1, ass2, {}));
// DumpGraphML.dumpSystem(subsyst, shared, NONE(), intString(size) + "SystemOneFreeMatching.graphml");
// hier sollte zur vorsicht noch mal ein matching durchgefuehrt werden
Util.profilerstop1();
print("Matching time: " + realString(Util.profilertime1()) + "\n");
Util.profilerreset1();
Util.profilerstart1();
// collect tearing variables and residual equations
vorphans = getOrphans(1, size, ass1, {});
eorphans = getOrphans(1, size, ass2, {});
// print("Var Orphans: \n");
// BackendDump.debuglst((vorphans, intString, ", ", "\n"));
// print("Equation Orphans: \n");
// BackendDump.debuglst((eorphans, intString, ", ", "\n"));
// transform to nonscalar
ass1 = BackendDAETransform.varAssignmentNonScalar(ass1, mapIncRowEqn);
ass22 = BackendDAETransform.eqnAssignmentNonScalar(mapEqnIncRow, ass2);
eorphans = List.uniqueIntN(List.map1r(eorphans, arrayGet, mapIncRowEqn), arrayLength(mapIncRowEqn));
(subsyst, m, mt) = BackendDAEUtil.getAdjacencyMatrix(subsyst, BackendDAE.ABSOLUTE(), SOME(funcs), BackendDAEUtil.isInitializationDAE(ishared));
// BackendDump.dumpAdjacencyMatrix(m);
// BackendDump.dumpAdjacencyMatrixT(mt);
// genereate cliques
rowmarks = arrayCreate(size, -1);
colummarks = arrayCreate(size, -1);
orowmarks = arrayCreate(size, -1);
ocolummarks = arrayCreate(size, -1);
vorphansarray1 = arrayCreate(size, {});
mc = arrayCreate(esize, {});
mct = arrayCreate(size, {});
mc = Array.copy(m, mc);
mct = Array.copy(mt, mct);
mark = 1 "init mark value";
(mark, constraintresidual) = generateCliquesResidual(eorphans, ass1, ass22, mc, mct, mark, rowmarks, colummarks, vars, {}) "generate cliques for residual equations";
// print("constraintresidual: \n");
// BackendDump.debuglst((constraintresidual, intString, ", ", "\n"));
(mark, roots, constraints) = prepairOrphansOrder(vorphans, ass1, ass22, mc, mct, mark, rowmarks, colummarks, vorphansarray1, vars, {}, {}) "generate cliques for tearing vars";
mark = prepairOrphansOrder2(vorphans, ass1, ass22, mc, mct, mark, rowmarks, colummarks, vorphansarray1);
// subsyst = BackendDAE.EQSYSTEM(vars, eqns, SOME(mc), SOME(mct), BackendDAE.NO_MATCHING(), {});
// DumpGraphML.dumpSystem(subsyst, shared, NONE(), intString(size) + "SystemPreIndex.graphml");
// print("roots:\n");
// BackendDump.debuglst((roots, intString, ", ", "\n"));
// print("constraints:\n");
// BackendDump.debuglst((constraints, intString, ", ", "\n"));
Util.profilerstop1();
print("Identifikation time: " + realString(Util.profilertime1()) + "\n");
Util.profilerreset1();
Util.profilerstart1();
// Order of orphans
vorphansarray1 = arrayCreate(size, {});
List.map2_0(roots, doMark, rowmarks, mark);
List.map2_0(constraints, doMark, rowmarks, mark);
otherorphans = List.select2(vorphans, unmarked, rowmarks, mark);
// print("otherorphans:\n");
// BackendDump.debuglst((otherorphans, intString, ", ", "\n"));
mark = getOrphansOrderEdvanced(otherorphans, ass1, ass22, m, mt, mc, mct, mark, rowmarks, colummarks, vorphansarray1);
List.map2_0(otherorphans, removeRootConnections, vorphansarray1, roots);
mark = getConstraintesOrphansOrderEdvanced(constraints, ass1, ass22, m, mt, mc, mct, mark, rowmarks, colummarks, vorphansarray1);
// print("getOrphansOrderEdvanced:\n");
// BackendDump.dumpAdjacencyMatrix(vorphansarray1);
(vorphans, mark) = getOrphansOrderEdvanced3(roots, otherorphans, constraints, vorphans, vorphansarray1, mark, rowmarks);
Util.profilerstop1();
print("Reihenfolge time: " + realString(Util.profilertime1()) + "\n");
Util.profilerreset1();
Util.profilerstart1();
List.map2_0(constraints, doMark, rowmarks, mark);
otherorphans = List.select2(vorphans, unmarked, rowmarks, mark);
// print("sorted Var Orphans: \n");
// List.map1_0(vorphans, dumpVar, vars);
// BackendDump.debuglst((vorphans, intString, ", ", "\n"));
// BackendDump.dumpVarsArray(vars);
// get pairs of orphans
List.map2_0(constraintresidual, doAssign, ass22, {-1});
mark = getOrphansPairs(otherorphans, ass1, ass22, m, mt, mark+1, rowmarks, colummarks);
List.map2_0(constraintresidual, doAssign, ass22, {});
mark = getOrphansPairsConstraints(constraints, ass1, ass22, mc, mct, mark, rowmarks, colummarks, eqns);
// print("Matching with Orphans:\n");
// BackendDump.dumpMatching(ass1);
// BackendDump.dumpAdjacencyMatrix(ass22);
Util.profilerstop1();
print("Paarung time: " + realString(Util.profilertime1()) + "\n");
Util.profilerreset1();
Util.profilerstart1();
vec1 = arrayCreate(esize, {});
vec2 = arrayCreate(esize, -1);
orowmarks = List.fold1(vorphans, markOrphans, 1, orowmarks);
ocolummarks = List.fold1(eorphans, markOrphans, 1, ocolummarks);
mark = getIndexesForEqnsAdvanced(vorphans, 1, m, mt, mark, rowmarks, colummarks, orowmarks, ocolummarks, ass1, ass22, vec1, vec2, arrayCreate(esize, false), vars, eqns, shared, size);
// BackendDump.dumpAdjacencyMatrix(vec1);
// BackendDump.dumpMatching(vec2);
// vec3 = arrayCreate(size, -1);
// _ = List.fold1(arrayList(vec2), transposeOrphanVec, vec3, 1);
// DumpGraphML.dumpSystem(subsyst, shared, SOME(vec3), "System.graphml");
((_, _, _, eqns, vars)) = Array.fold(vec2, getEqnsinOrder, (eqns, vars, ass22, BackendEquation.listEquation({}), BackendVariable.emptyVars()));
Util.profilerstop1();
print("Indizierung time: " + realString(Util.profilertime1()) + "\n");
Util.profilerreset1();
Util.profilerstart1();
// replace evaluated parametes
//_ = BackendDAEUtil.traverseBackendDAEExpsEqns(eqns, replaceFinalParameter, BackendVariable.daeGlobalKnownVars(shared));
subsyst = BackendDAEUtil.createEqSystem(vars, eqns);
(subsyst, m, _) = BackendDAEUtil.getAdjacencyMatrix(subsyst, BackendDAE.ABSOLUTE(), SOME(funcs), BackendDAEUtil.isInitializationDAE(ishared));
// BackendDump.dumpEqSystem(subsyst);
// DumpGraphML.dumpSystem(subsyst, shared, NONE(), intString(size) + "SystemIndexed.graphml");
(SOME(jac), _) = SymbolicJacobian.calculateJacobian(vars, eqns, m, true, ishared);
(beqs, _) = BackendDAEUtil.getEqnSysRhs(eqns, vars, SOME(funcs));
beqs = listReverse(beqs);
// print("Jacobian:\n");
// print(BackendDump.dumpJacobianStr(SOME(jac)) + "\n");
// dumpJacMatrix(jac, 1, 1, size, vars);
matrix = arrayCreate(size, {});
transformJacToMatrix(jac, 1, 1, size, beqs, matrix);
// print("Jacobian as Matrix:\n");
// dumpMatrix(1, size, matrix);
_ = HashTable4.emptyHashTable();
(tvars, teqns) = gaussElimination(1, size, matrix, BackendVariable.emptyVars(), BackendEquation.listEquation({}), (1, 1));
// dumpMatrix(1, size, matrix);
// subsyst = BackendDAEUtil.createEqSystem(tvars, teqns);
// BackendDump.dumpEqSystem(subsyst);
eqn_lst = BackendEquation.equationList(teqns);
var_lst = BackendVariable.varList(tvars);
syst = List.fold(eqn_lst, BackendEquation.equationAddDAE, isyst);
syst = List.fold(var_lst, BackendVariable.addVarDAE, syst);
crefexplst = List.map(BackendVariable.varList(vars), makeCrefExps);
crefexps = listArray(crefexplst);
neweqns = makeGausElimination(1, size, matrix, crefexps, {});
Util.profilerstop1();
print("Gaus Elimination time: " + realString(Util.profilertime1()) + "\n");
Util.profilerreset1();
Util.profilerstart1();
syst = replaceEquationsAddNew(eindex, neweqns, syst);
Util.profilerstop2();
print("Gesamt time: " + realString(Util.profilertime2()) + "\n");
Util.profilerreset1();
Util.profilerstart1();
/*
vars = BackendVariable.addVars(var_lst, vars);
eqns = BackendEquation.addList(neweqns, teqns);
subsyst = BackendDAEUtil.createEqSystem(vars, eqns);
(subsyst, m, mt, mapEqnIncRow, mapIncRowEqn) = BackendDAEUtil.getAdjacencyMatrixScalar(subsyst, BackendDAE.NORMAL(), SOME(funcs));
print("Relaxed System:\n");
BackendDump.dumpEqSystem(subsyst);
size = arrayLength(m);
Matching.matchingExternalsetAdjacencyMatrix(size, size, m);
ass1 = arrayCreate(size, -1);
ass2 = arrayCreate(size, -1);
BackendDAEEXT.matching(size, size, 5, -1, 1.0, 1);
BackendDAEEXT.getAssignment(ass2, ass1);
subsyst = BackendDAEUtil.setEqSystemMatching(subsyst, BackendDAE.MATCHING(ass1, ass2, {}));
(subsyst, othercomps) = BackendDAETransform.strongComponentsScalar(subsyst, shared, mapEqnIncRow, mapIncRowEqn);
print("Relaxed System:\n");
BackendDump.dumpEqSystem(subsyst);
*/
// (syst, _, _) = BackendDAEUtil.getAdjacencyMatrix(syst, BackendDAE.NORMAL(), SOME(funcs), BackendDAEUtil.isInitializationDAE(shared));
// BackendDump.dumpEqSystem(syst);
// (i1, i2, i3) = countOperations1(syst, shared);
// print("Add Operations: " + intString(i1) + "\n");
// print("Mul Operations: " + intString(i2) + "\n");
// print("Oth Operations: " + intString(i3) + "\n");
print("Ok system relaxed\n");
(syst, shared, _) = relaxSystem1(syst, shared, comps);
then
(syst, shared, true);
case (_, _, _::comps)
equation
(syst, shared, b) = relaxSystem1(isyst, ishared, comps);
then
(syst, shared, b);
end matchcontinue;
end relaxSystem1;
protected function removeRootConnections
input Integer orphan;
input array<list<Integer>> orphansarray;
input list<Integer> roots;
algorithm
_:= matchcontinue(orphan, orphansarray, roots)
local
list<Integer> lst;
case(_, _, _)
equation
lst = orphansarray[orphan];
true = intGt(listLength(lst), 1);
lst = List.fold1(roots, List.removeOnTrue, intEq, lst);
arrayUpdate(orphansarray, orphan, lst);
then
();
case(_, _, _)
then
();
end matchcontinue;
end removeRootConnections;
protected function replaceFinalParameter "author: Frenkel TUD 2012-06"
input tuple<DAE.Exp, BackendDAE.Variables> itpl;
output tuple<DAE.Exp, BackendDAE.Variables> outTpl;
protected
DAE.Exp e;
BackendDAE.Variables knvars;
Boolean b;
algorithm
(e, knvars) := itpl;
(e, (knvars, b)) := Expression.traverseExpBottomUp(e, traverserExpreplaceFinalParameter, (knvars, false));
(e, _) := ExpressionSimplify.condsimplify(b, e);
outTpl := (e, knvars);
end replaceFinalParameter;
protected function traverserExpreplaceFinalParameter "author: Frenkel TUD 2012-06"
input DAE.Exp inExp;
input tuple<BackendDAE.Variables, Boolean> tpl;
output DAE.Exp outExp;
output tuple<BackendDAE.Variables, Boolean> outTpl;
algorithm
(outExp, outTpl) := matchcontinue (inExp, tpl)
local
BackendDAE.Variables knvars;
DAE.Exp e, e1;
DAE.ComponentRef cr;
BackendDAE.Var v;
case (DAE.CREF(componentRef=cr), (knvars, _))
equation
(v::_, _) = BackendVariable.getVar(cr, knvars);
true = BackendVariable.isFinalVar(v);
e1 = BackendVariable.varBindExpStartValue(v);
then
(e1, (knvars, true));
else (inExp, tpl);
end matchcontinue;
end traverserExpreplaceFinalParameter;
protected function replaceEquationsAddNew
input list<Integer> inEqnIndxes;
input list<BackendDAE.Equation> inEqns;
input BackendDAE.EqSystem inEqSystem;
output BackendDAE.EqSystem outEqSystem;
algorithm
outEqSystem := match(inEqnIndxes, inEqns, inEqSystem)
local
Integer index;
list<Integer> indices;
BackendDAE.Equation eqn;
list<BackendDAE.Equation> eqns;
BackendDAE.EqSystem eqSystem;
BackendDAE.Variables orderedVars;
BackendDAE.EquationArray orderedEqs;
Option<BackendDAE.AdjacencyMatrix> m, mT;
BackendDAE.Matching matching;
BackendDAE.StateSets stateSets;
BackendDAE.BaseClockPartitionKind partitionKind;
case ({}, _, _)
then BackendEquation.equationsAddDAE(inEqns, inEqSystem);
case (index::indices, eqn::eqns, BackendDAE.EQSYSTEM(orderedEqs=orderedEqs)) equation
eqSystem = BackendDAEUtil.setEqSystEqs(inEqSystem, BackendEquation.setAtIndex(orderedEqs, index, eqn));
then replaceEquationsAddNew(indices, eqns, eqSystem);
end match;
end replaceEquationsAddNew;
protected function dumpVar "author: Frenkel TUD 2012-05"
input Integer id;
input BackendDAE.Variables vars;
protected
BackendDAE.Var v;
algorithm
v := BackendVariable.getVarAt(vars, id);
print(ComponentReference.printComponentRefStr(BackendVariable.varCref(v)));
print("\n");
end dumpVar;
protected function transposeOrphanVec "author: Frenkel TUD 2012-05"
input Integer c;
input array<list<Integer>> vec3;
input Integer inId;
output Integer outId;
algorithm
outId := matchcontinue(c, vec3, inId)
local list<Integer> lst;
case (_, _, _)
equation
true = intGt(c, 0);
lst = vec3[c];
arrayUpdate(vec3, c, inId::lst);
then
inId + 1;
else
inId + 1;
end matchcontinue;
end transposeOrphanVec;
protected function markOrphans "author: Frenkel TUD 2012-05"
input Integer o;
input Integer mark;
input array<Integer> rowmark;
output array<Integer> orowmark;
algorithm
orowmark := arrayUpdate(rowmark, o, mark);
end markOrphans;
protected function generateCliquesResidual "author: Frenkel TUD 2012-07"
input list<Integer> inOrphans;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input Integer mark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input BackendDAE.Variables vars;
input list<Integer> iconstraints;
output Integer omark;
output list<Integer> oconstraints;
algorithm
(omark, oconstraints) := matchcontinue(inOrphans, ass1, ass2, m, mt, mark, rowmarks, colummarks, vars, iconstraints)
local
list<Integer> rest, constraints, rlst, elst, partner;
Integer o;
Boolean foundflow;
list<Boolean> blst;
list<BackendDAE.Var> vlst;
case ({}, _, _, _, _, _, _, _, _, _)
then
(mark+2, iconstraints);
case (o::rest, _, _, _, _, _, _, _, _, _)
equation
false = intEq(colummarks[o], mark);
arrayUpdate(colummarks, o, mark);
// print("Process Residual " + intString(o) + "\n");
rlst = m[o];
// check for partner
elst = List.select1(List.flatten(List.map1r(rlst, arrayGet, mt)), intGt, 0);
// print("Search for " + intString(o) + " Parnters in: " + stringDelimitList(List.map(elst, intString), ", ") + "\n");
partner = List.select1(elst, isResOrphan, ass2);
partner = List.uniqueIntN(List.removeOnTrue(o, intEq, partner), arrayLength(colummarks));
List.map2_0(partner, doMark, colummarks, mark);
// print("Found for " + intString(o) + " Parnters: " + stringDelimitList(List.map(partner, intString), ", ") + "\n");
// BackendDump.debuglst((rlst, intString, ", ", "\n"));
vlst = List.map1r(rlst, BackendVariable.getVarAt, vars);
blst = List.map(vlst, BackendVariable.isFlowVar);
foundflow = Util.boolOrList(blst);
rlst = selectNonFlows(rlst, blst);
foundflow = generateCliquesResidual1(rlst, ass1, ass2, m, mt, mark, rowmarks, colummarks, foundflow, vars);
generateCliquesResidual2(rlst, ass1, ass2, m, mt, mark+1, rowmarks, colummarks, o::partner);
constraints = if not foundflow then listAppend(o::partner, iconstraints) else iconstraints;
(omark, constraints) = generateCliquesResidual(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, vars, constraints);
then
(omark, constraints);
case (_::rest, _, _, _, _, _, _, _, _, _)
equation
(omark, constraints) = generateCliquesResidual(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, vars, iconstraints);
then
(omark, constraints);
end matchcontinue;
end generateCliquesResidual;
protected function generateCliquesResidual1 "author: Frenkel TUD 2012-05"
input list<Integer> rows;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input Integer mark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input Boolean ifoundFlow;
input BackendDAE.Variables vars;
output Boolean ofoundFlow = ifoundFlow;
protected
Integer e;
list<Integer> next, rlst;
Boolean b1;
list<Boolean> blst;
list<BackendDAE.Var> vlst;
algorithm
for r in rows loop
if not intEq(rowmarks[r], mark) then
// remove orphans
next := List.select1(mt[r], isNoResOrphan, ass2);
// remove visited
next := List.select2(next, unmarked, colummarks, mark);
// remove assigned equation of this row
next := List.removeOnTrue(ass1[r], intEq, next);
if listEmpty(next) then
arrayUpdate(rowmarks, r, mark);
e := ass1[r];
// print("Go From " + intString(r) + " to " + intString(e) + "\n");
arrayUpdate(colummarks, e, mark);
rlst := ass2[e];
next := List.fold1(rlst, List.removeOnTrue, intEq, m[e]);
vlst := List.map1r(next, BackendVariable.getVarAt, vars);
blst := List.map(vlst, BackendVariable.isFlowVar);
b1 := Util.boolOrList(blst);
next := selectNonFlows(next, blst);
ofoundFlow := generateCliquesResidual1(next, ass1, ass2, m, mt, mark, rowmarks, colummarks, b1 or ofoundFlow, vars);
end if;
end if;
end for;
end generateCliquesResidual1;
protected function selectNonFlows
input list<Integer> rows;
input list<Boolean> flowFlag;
output list<Integer> oAcc = {};
protected
list<Boolean> brest = flowFlag;
Boolean b;
algorithm
for r in rows loop
b::brest := brest;
if not b then
oAcc := r::oAcc;
end if;
end for;
end selectNonFlows;
protected function generateCliquesResidual2 "author: Frenkel TUD 2012-05"
input list<Integer> eqns;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input Integer mark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input list<Integer> orphan;
algorithm
_ := match(eqns, ass1, ass2, m, mt, mark, rowmarks, colummarks, orphan)
local
Integer e, r;
list<Integer> rest, lst, rlst, lst1;
case ({}, _, _, _, _, _, _, _, _)
then
();
case (r::rest, _, _, _, _, _, _, _, _)
guard
not intEq(rowmarks[r], mark)
equation
// marked?
e = ass1[r];
rlst = ass2[e];
lst = List.fold1(rlst, List.removeOnTrue, intEq, m[e]);
(lst1 as _::_) = List.select2(lst, unmarked, rowmarks, mark-1);
// print("generateClique " + intString(eqn) + " to " + stringDelimitList(List.map(lst1, intString), ", ") + "\n");
List.map4_0(lst1, generateResidualClique, m, mt, orphan, e);
List.map2_0(rlst, doMark, rowmarks, mark);
lst = List.select2(lst, marked, rowmarks, mark-1);
// print("Go From " + intString(e) + " to " + stringDelimitList(List.map(r, intString), ", ") + "\n");
arrayUpdate(colummarks, e, mark);
// print("Go From " + intString(e) + " to " + stringDelimitList(List.map(next, intString), ", ") + "\n");
generateCliquesResidual2(lst, ass1, ass2, m, mt, mark, rowmarks, colummarks, orphan);
generateCliquesResidual2(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, orphan);
then
();
case (_::rest, _, _, _, _, _, _, _, _)
equation
generateCliquesResidual2(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, orphan);
then
();
end match;
end generateCliquesResidual2;
protected function prepairOrphansOrder "author: Frenkel TUD 2012-07"
input list<Integer> inOrphans;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input Integer mark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input array<list<Integer>> orphans;
input BackendDAE.Variables vars;
input list<Integer> iroots;
input list<Integer> iconstraints;
output Integer omark;
output list<Integer> oroots;
output list<Integer> oconstraints;
algorithm
(omark, oroots, oconstraints) := match(inOrphans, ass1, ass2, m, mt, mark, rowmarks, colummarks, orphans, vars, iroots, iconstraints)
local
list<Integer> rest, roots, constraints, elst, rlst;
Integer o;
Boolean foundflow, constr;
list<BackendDAE.Var> vlst;
case ({}, _, _, _, _, _, _, _, _, _, _, _)
then
(mark, iroots, iconstraints);
case (o::rest, _, _, _, _, _, _, _, _, _, _, _)
guard
not intEq(rowmarks[o], mark)
equation
arrayUpdate(rowmarks, o, mark);
elst = mt[o];
rlst = List.flatten(List.map1r(elst, arrayGet, ass2));
// check for partner
// BackendDump.debuglst((rlst, intString, ", ", "\n"));
vlst = List.map1r(rlst, BackendVariable.getVarAt, vars);
constr = List.mapBoolAnd(vlst, BackendVariable.isFlowVar);
constraints = List.consOnTrue(constr, o, iconstraints);
// print("Process Orphan " + intString(o) + "\n");
// BackendDump.debuglst((mt[o], intString, ", ", "\n"));
foundflow = prepairOrphansOrder1(mt[o], ass1, ass2, m, mt, mark, rowmarks, colummarks, o, orphans, {o}, false, vars);
roots = List.consOnTrue(foundflow and not constr, o, iroots);
(omark, roots, constraints) = prepairOrphansOrder(rest, ass1, ass2, m, mt, mark+1, rowmarks, colummarks, orphans, vars, roots, constraints);
then
(omark, roots, constraints);
case (_::rest, _, _, _, _, _, _, _, _, _, _, _)
equation
(omark, roots, constraints) = prepairOrphansOrder(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, orphans, vars, iroots, iconstraints);
then
(omark, roots, constraints);
end match;
end prepairOrphansOrder;
protected function prepairOrphansOrder1 "author: Frenkel TUD 2012-05"
input list<Integer> eqns;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input Integer mark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input Integer preorphan;
input array<list<Integer>> orphans;
input list<Integer> prer;
input Boolean ifoundFlow;
input BackendDAE.Variables vars;
output Boolean ofoundFlow = ifoundFlow;
protected
list<Integer> next, r, elst;
Boolean b1;
list<Boolean> blst;
list<BackendDAE.Var> vlst;
algorithm
for e in eqns loop
if not intEq(colummarks[e], mark) then
// remove orphans
next := List.select1(m[e], isNoOrphan, ass1);
// remove visited
next := List.select2(next, unmarked, rowmarks, mark);
// remove assigned
next := List.fold1(ass2[e], List.removeOnTrue, intEq, next);
if listEmpty(next) then
arrayUpdate(colummarks, e, mark);
r := ass2[e];
// print("Go From " + intString(e) + " to " + stringDelimitList(List.map(r, intString), ", ") + "\n");
List.map2_0(r, doMark, rowmarks, mark);
elst := List.select1(List.map1r(r, arrayGet, ass1), intGt, 0);
next := List.flatten(List.map1r(r, arrayGet, mt));
next := List.fold1(elst, List.removeOnTrue, intEq, next);
List.map2_0(r, addPreOrphan, preorphan, orphans);
vlst := List.map1r(r, BackendVariable.getVarAt, vars);
blst := List.map(vlst, BackendVariable.isFlowVar);
b1 := Util.boolOrList(blst);
// print("Go From " + intString(e) + " to " + stringDelimitList(List.map(next, intString), ", ") + "\n");
ofoundFlow := prepairOrphansOrder1(next, ass1, ass2, m, mt, mark, rowmarks, colummarks, preorphan, orphans, r, b1 or ofoundFlow, vars);
end if;
end if;
end for;
end prepairOrphansOrder1;
protected function prepairOrphansOrder2 "author: Frenkel TUD 2012-07"
input list<Integer> inOrphans;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input Integer imark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input array<list<Integer>> orphans;
output Integer omark;
algorithm
omark := matchcontinue(inOrphans, ass1, ass2, m, mt, imark, rowmarks, colummarks, orphans)
local
list<Integer> rest, elst, rlst, partner;
Integer o;
case ({}, _, _, _, _, _, _, _, _)
then
imark+1;
case (o::rest, _, _, _, _, _, _, _, _)
equation
false = intEq(rowmarks[o], imark);
arrayUpdate(rowmarks, o, imark);
// print("Process Orphan " + intString(o) + "\n");
// BackendDump.debuglst((mt[o], intString, ", ", "\n"));
// check for partner
elst = List.select1(mt[o], intGt, 0) "eqns of orphan";
rlst = List.select1(List.flatten(List.map1r(elst, arrayGet, m)), intGt, 0);
partner = List.select1(rlst, isOrphan, ass1);
partner = List.unique(partner);
List.map2_0(partner, doMark, rowmarks, imark);
// print("Found for " + intString(o) + " Parnters: " + stringDelimitList(List.map(partner, intString), ", ") + "\n");
prepairOrphansOrder3(mt[o], ass1, ass2, m, mt, imark, rowmarks, colummarks, o, partner, orphans, {o});
then
prepairOrphansOrder2(rest, ass1, ass2, m, mt, imark, rowmarks, colummarks, orphans);
case (_::rest, _, _, _, _, _, _, _, _)
then
prepairOrphansOrder2(rest, ass1, ass2, m, mt, imark, rowmarks, colummarks, orphans);
end matchcontinue;
end prepairOrphansOrder2;
protected function prepairOrphansOrder3 "author: Frenkel TUD 2012-05"
input list<Integer> eqns;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input Integer mark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input Integer preorphan;
input list<Integer> partner;
input array<list<Integer>> orphans;
input list<Integer> prer;
algorithm
_ := matchcontinue(eqns, ass1, ass2, m, mt, mark, rowmarks, colummarks, preorphan, partner, orphans, prer)
local
Integer e;
list<Integer> rest, next, r, elst, lst;
case ({}, _, _, _, _, _, _, _, _, _, _, _)
then
();
case (e::rest, _, _, _, _, _, _, _, _, _, _, _)
equation
false = intEq(colummarks[e], mark);
// marked?
r = ass2[e];
lst = List.unique(List.flatten(List.map1r(r, arrayGet, orphans)));
true = listMember(preorphan, lst);
arrayUpdate(colummarks, e, mark);
// print("Go From " + intString(e) + " to " + stringDelimitList(List.map(r, intString), ", ") + "\n");
List.map2_0(r, doMark, rowmarks, mark);
elst = List.select1(List.map1r(r, arrayGet, ass1), intGt, 0);
next = List.flatten(List.map1r(r, arrayGet, mt));
next = List.fold1(elst, List.removeOnTrue, intEq, next);
// print("Go From " + intString(e) + " to " + stringDelimitList(List.map(next, intString), ", ") + "\n");
prepairOrphansOrder3(next, ass1, ass2, m, mt, mark, rowmarks, colummarks, preorphan, partner, orphans, r);
prepairOrphansOrder3(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, preorphan, partner, orphans, prer);
then
();
case (e::rest, _, _, _, _, _, _, _, _, _, _, _)
equation
// print("check Eqn " + intString(e) + " ass[e]: " + stringDelimitList(List.map(ass2[e], intString), ", ") + "\n");
false = intEq(colummarks[e], mark);
// update Adjacency Matrix
List.map4_0(prer, generateClique, m, mt, partner, e);
prepairOrphansOrder3(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, preorphan, partner, orphans, prer);
then
();
case (_::rest, _, _, _, _, _, _, _, _, _, _, _)
equation
prepairOrphansOrder3(rest, ass1, ass2, m, mt, mark, rowmarks, colummarks, preorphan, partner, orphans, prer);
then
();
end matchcontinue;
end prepairOrphansOrder3;
protected function generateClique
input Integer r;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input list<Integer> orphans;
input Integer e;
algorithm
_:= match(r, m, mt, orphans, e)
local
Integer orphan;
list<Integer> lst, rest;
case (_, _, _, {}, _) then ();
case (_, _, _, orphan::rest, _)
equation
// print("Replace " + intString(r) + " with " + intString(orphan) + "\n");
lst = mt[r];
// mt[r]-e
lst = List.removeOnTrue(e, intEq, lst);
// print("mt[ " + intString(r) + "]= " + stringDelimitList(List.map(lst, intString), ", ") + "\n");
arrayUpdate(mt, r, lst);
// mt[preorphan]+e
lst = mt[orphan];
lst = List.unique(e::lst);
// print("mt[ " + intString(orphan) + "]= " + stringDelimitList(List.map(lst, intString), ", ") + "\n");
arrayUpdate(mt, orphan, lst);
// m[e] - r + preorphan
lst = m[e];
lst = List.removeOnTrue(r, intEq, lst);
lst = List.unique(orphan::lst);
// print("m[ " + intString(e) + "]= " + stringDelimitList(List.map(lst, intString), ", ") + "\n");
arrayUpdate(m, e, lst);
generateClique(r, m, mt, rest, e);
then
();
end match;
end generateClique;
protected function generateResidualClique
input Integer r;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input list<Integer> orphans;
input Integer e;
algorithm
_:= match(r, m, mt, orphans, e)
local
Integer orphan;
list<Integer> lst, rest;
case (_, _, _, {}, _) then ();
case (_, _, _, orphan::rest, _)
equation
// print("Replace " + intString(e) + " with " + intString(orphan) + "\n");
lst = m[e];
// mt[e]-r
lst = List.removeOnTrue(r, intEq, lst);
// print("m[ " + intString(e) + "]= " + stringDelimitList(List.map(lst, intString), ", ") + "\n");
arrayUpdate(m, e, lst);
// m[orphan]+r
lst = m[orphan];
lst = List.unique(r::lst);
// print("m[ " + intString(orphan) + "]= " + stringDelimitList(List.map(lst, intString), ", ") + "\n");
arrayUpdate(m, orphan, lst);
// mt[r] - e + orphan
lst = mt[r];
lst = List.removeOnTrue(e, intEq, lst);
lst = List.unique(orphan::lst);
// print("mt[ " + intString(r) + "]= " + stringDelimitList(List.map(lst, intString), ", ") + "\n");
arrayUpdate(mt, r, lst);
generateResidualClique(r, m, mt, rest, e);
then
();
end match;
end generateResidualClique;
protected function getOrphansOrderEdvanced "author: Frenkel TUD 2012-07"
input list<Integer> inOrphans;
input array<Integer> ass1;
input array<list<Integer>> ass2;
input BackendDAE.AdjacencyMatrix m;
input BackendDAE.AdjacencyMatrixT mt;
input BackendDAE.AdjacencyMatrix mc;
input BackendDAE.AdjacencyMatrixT mct;
input Integer mark;
input array<Integer> rowmarks;
input array<Integer> colummarks;
input array<list<Integer>> orphans;
output Integer omark;
algorithm
omark := matchcontinue(inOrphans, ass1, ass2, m, mt, mc, mct, mark, rowmarks, colummarks, orphans)
local
list<Integer> rest;
Integer o;
case ({}, _, _, _, _, _, _, _, _, _, _)
then
mark;
case (o::rest, _, _, _, _, _, _, _, _, _, _)
equation
false = intEq(rowmarks[o], mark);
arrayUpdate(rowmarks, o, mark);
// print("Process Orphan " + intString(o) + "\n");
getOrphansOrderEdvanced1(mct[o], ass1, ass2, m, mt, mark, rowmarks, colummarks, o, orphans, {});
then
getOrphansOrderEdvanced(rest, ass1, ass2, m, mt, mc, mct, mark+1, rowmarks, colummarks, orphans);
case (_::rest, _, _, _, _, _, _, _, _, _, _)