kiwi-java/src/main/java/no/birkett/kiwi/Solver.java

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package no.birkett.kiwi;
import java.util.*;
/**
* Created by alex on 30/01/15.
*/
public class Solver {
private static class Tag {
Symbol marker;
Symbol other;
public Tag(){
marker = new Symbol();
other = new Symbol();
}
}
private static class EditInfo {
Tag tag;
Constraint constraint;
double constant;
public EditInfo(Constraint constraint, Tag tag, double constant){
this.constraint = constraint;
this.tag = tag;
this.constant = constant;
}
}
private Map<Constraint, Tag> cns = new LinkedHashMap<Constraint, Tag>();
private Map<Symbol, Row> rows = new LinkedHashMap<Symbol, Row>();
private Map<Variable, Symbol> vars = new LinkedHashMap<Variable, Symbol>();
private Map<Variable, EditInfo> edits = new LinkedHashMap<Variable, EditInfo>();
private List<Symbol> infeasibleRows = new ArrayList<Symbol>();
private Row objective = new Row();
private Row artificial;
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public Set<Constraint> getConstraints() {
return cns.keySet();
}
/**
* Add a constraint to the solver.
*
* @param constraint
* @throws DuplicateConstraintException The given constraint has already been added to the solver.
* @throws UnsatisfiableConstraintException The given constraint is required and cannot be satisfied.
*/
public void addConstraint(Constraint constraint) throws DuplicateConstraintException, UnsatisfiableConstraintException {
if (cns.containsKey(constraint)) {
throw new DuplicateConstraintException(constraint);
}
Tag tag = new Tag();
Row row = createRow(constraint, tag);
Symbol subject = chooseSubject(row, tag);
if(subject.getType() == Symbol.Type.INVALID && allDummies(row)){
if (!Util.nearZero(row.getConstant())) {
throw new UnsatisfiableConstraintException(constraint);
} else {
subject = tag.marker;
}
}
if (subject.getType() == Symbol.Type.INVALID) {
if (!addWithArtificialVariable(row)) {
throw new UnsatisfiableConstraintException(constraint);
}
} else {
row.solveFor(subject);
substitute(subject, row);
this.rows.put(subject, row);
}
this.cns.put(constraint, tag);
optimize(objective);
}
public void removeConstraint(Constraint constraint) throws UnknownConstraintException, InternalSolverError{
Tag tag = cns.get(constraint);
if(tag == null){
throw new UnknownConstraintException(constraint);
}
cns.remove(constraint);
removeConstraintEffects(constraint, tag);
Row row = rows.get(tag.marker);
if(row != null){
rows.remove(tag.marker);
}
else{
row = getMarkerLeavingRow(tag.marker);
if(row == null){
throw new InternalSolverError("internal solver error");
}
//This looks wrong! changes made below
//Symbol leaving = tag.marker;
//rows.remove(tag.marker);
Symbol leaving = null;
for(Symbol s: rows.keySet()){
if(rows.get(s) == row){
leaving = s;
}
}
if(leaving == null){
throw new InternalSolverError("internal solver error");
}
rows.remove(leaving);
row.solveFor(leaving, tag.marker);
substitute(tag.marker, row);
}
optimize(objective);
}
void removeConstraintEffects(Constraint constraint, Tag tag){
if(tag.marker.getType() == Symbol.Type.ERROR){
removeMarkerEffects(tag.marker, constraint.getStrength());
}
else if(tag.other.getType() == Symbol.Type.ERROR){
removeMarkerEffects(tag.other, constraint.getStrength());
}
}
void removeMarkerEffects(Symbol marker, double strength){
Row row = rows.get(marker);
if(row != null){
objective.insert(row, -strength);
}else {
objective.insert(marker, -strength);
}
}
Row getMarkerLeavingRow(Symbol marker){
double dmax = Double.MAX_VALUE;
double r1 = dmax;
double r2 = dmax;
Row first = null;
Row second = null;
Row third = null;
for(Symbol s: rows.keySet()){
Row candidateRow = rows.get(s);
double c = candidateRow.coefficientFor(marker);
if(c == 0.0){
continue;
}
if(s.getType() == Symbol.Type.EXTERNAL){
third = candidateRow;
}
else if(c < 0.0){
double r = - candidateRow.getConstant() / c;
if(r < r1){
r1 = r;
first = candidateRow;
}
}
else{
double r = candidateRow.getConstant() / c;
if(r < r2){
r2 = r;
second = candidateRow;
}
}
}
if(first != null){
return first;
}
if(second != null){
return second;
}
return third;
}
public boolean hasConstraint(Constraint constraint){
return cns.containsKey(constraint);
}
public void addEditVariable(Variable variable, double strength) throws DuplicateEditVariableException, RequiredFailureException{
if(edits.containsKey(variable)){
throw new DuplicateEditVariableException();
}
strength = Strength.clip(strength);
if(strength == Strength.REQUIRED){
throw new RequiredFailureException();
}
List<Term> terms = new ArrayList<>();
terms.add(new Term(variable));
Constraint constraint = new Constraint(new Expression(terms), RelationalOperator.OP_EQ, strength);
try {
addConstraint(constraint);
} catch (DuplicateConstraintException e) {
e.printStackTrace();
} catch (UnsatisfiableConstraintException e) {
e.printStackTrace();
}
EditInfo info = new EditInfo(constraint, cns.get(constraint), 0.0);
edits.put(variable, info);
}
public void removeEditVariable(Variable variable) throws UnknownEditVariableException{
EditInfo edit = edits.get(variable);
if(edit == null){
throw new UnknownEditVariableException();
}
try {
removeConstraint(edit.constraint);
} catch (UnknownConstraintException e) {
e.printStackTrace();
}
edits.remove(variable);
}
public boolean hasEditVariable(Variable variable){
return edits.containsKey(variable);
}
public void suggestValue(Variable variable, double value) throws UnknownEditVariableException{
EditInfo info = edits.get(variable);
if(info == null){
throw new UnknownEditVariableException();
}
double delta = value - info.constant;
info.constant = value;
Row row = rows.get(info.tag.marker);
if(row != null){
if(row.add(-delta) < 0.0){
infeasibleRows.add(info.tag.marker);
}
dualOptimize();
return;
}
row = rows.get(info.tag.other);
if(row != null){
if(row.add(delta) < 0.0){
infeasibleRows.add(info.tag.other);
}
dualOptimize();
return;
}
for(Symbol s: rows.keySet()){
Row currentRow = rows.get(s);
double coefficient = currentRow.coefficientFor(info.tag.marker);
if(coefficient != 0.0 && currentRow.add(delta * coefficient) < 0.0 && s.getType() != Symbol.Type.EXTERNAL){
infeasibleRows.add(s);
}
}
dualOptimize();
}
/**
* Update the values of the external solver variables.
*/
public void updateVariables() {
for (Map.Entry<Variable, Symbol> varEntry : vars.entrySet()) {
Variable variable = varEntry.getKey();
Row row = this.rows.get(varEntry.getValue());
if (row == null) {
variable.setValue(0);
} else {
variable.setValue(row.getConstant());
}
}
}
/**
* Create a new Row object for the given constraint.
* <p/>
* The terms in the constraint will be converted to cells in the row.
* Any term in the constraint with a coefficient of zero is ignored.
* This method uses the `getVarSymbol` method to get the symbol for
* the variables added to the row. If the symbol for a given cell
* variable is basic, the cell variable will be substituted with the
* basic row.
* <p/>
* The necessary slack and error variables will be added to the row.
* If the constant for the row is negative, the sign for the row
* will be inverted so the constant becomes positive.
* <p/>
* The tag will be updated with the marker and error symbols to use
* for tracking the movement of the constraint in the tableau.
*/
Row createRow(Constraint constraint, Tag tag) {
Expression expression = constraint.getExpression();
Row row = new Row(expression.getConstant());
for (Term term : expression.getTerms()) {
if (!Util.nearZero(term.getCoefficient())) {
Symbol symbol = getVarSymbol(term.getVariable());
Row otherRow = rows.get(symbol);
if (otherRow == null) {
row.insert(symbol, term.getCoefficient());
} else {
row.insert(otherRow, term.getCoefficient());
}
}
}
switch (constraint.getOp()) {
case OP_LE:
case OP_GE: {
double coeff = constraint.getOp() == RelationalOperator.OP_LE ? 1.0 : -1.0;
Symbol slack = new Symbol(Symbol.Type.SLACK);
tag.marker = slack;
row.insert(slack, coeff);
if (constraint.getStrength() < Strength.REQUIRED) {
Symbol error = new Symbol(Symbol.Type.ERROR);
tag.other = error;
row.insert(error, -coeff);
this.objective.insert(error, constraint.getStrength());
}
break;
}
case OP_EQ: {
if (constraint.getStrength() < Strength.REQUIRED) {
Symbol errplus = new Symbol(Symbol.Type.ERROR);
Symbol errminus = new Symbol(Symbol.Type.ERROR);
tag.marker = errplus;
tag.other = errminus;
row.insert(errplus, -1.0); // v = eplus - eminus
row.insert(errminus, 1.0); // v - eplus + eminus = 0
this.objective.insert(errplus, constraint.getStrength());
this.objective.insert(errminus, constraint.getStrength());
} else {
Symbol dummy = new Symbol(Symbol.Type.DUMMY);
tag.marker = dummy;
row.insert(dummy);
}
break;
}
}
// Ensure the row as a positive constant.
if (row.getConstant() < 0.0) {
row.reverseSign();
}
return row;
}
/**
* Choose the subject for solving for the row
* <p/>
* This method will choose the best subject for using as the solve
* target for the row. An invalid symbol will be returned if there
* is no valid target.
* The symbols are chosen according to the following precedence:
* 1) The first symbol representing an external variable.
* 2) A negative slack or error tag variable.
* If a subject cannot be found, an invalid symbol will be returned.
*/
private static Symbol chooseSubject(Row row, Tag tag) {
for (Map.Entry<Symbol, Double> cell : row.getCells().entrySet()) {
if (cell.getKey().getType() == Symbol.Type.EXTERNAL) {
return cell.getKey();
}
}
if (tag.marker.getType() == Symbol.Type.SLACK || tag.marker.getType() == Symbol.Type.ERROR) {
if (row.coefficientFor(tag.marker) < 0.0)
return tag.marker;
}
if (tag.other != null && (tag.other.getType() == Symbol.Type.SLACK || tag.other.getType() == Symbol.Type.ERROR)) {
if (row.coefficientFor(tag.other) < 0.0)
return tag.other;
}
return new Symbol();
}
/**
* Add the row to the tableau using an artificial variable.
* <p/>
* This will return false if the constraint cannot be satisfied.
*/
private boolean addWithArtificialVariable(Row row) {
//TODO check this
// Create and add the artificial variable to the tableau
Symbol art = new Symbol(Symbol.Type.SLACK);
rows.put(art, new Row(row));
this.artificial = new Row(row);
// Optimize the artificial objective. This is successful
// only if the artificial objective is optimized to zero.
optimize(this.artificial);
boolean success = Util.nearZero(artificial.getConstant());
artificial = null;
// If the artificial variable is basic, pivot the row so that
// it becomes basic. If the row is constant, exit early.
Row rowptr = this.rows.get(art);
if (rowptr != null) {
/**this looks wrong!!!*/
//rows.remove(rowptr);
LinkedList<Symbol> deleteQueue = new LinkedList<>();
for(Symbol s: rows.keySet()){
if(rows.get(s) == rowptr){
deleteQueue.add(s);
}
}
while(!deleteQueue.isEmpty()){
rows.remove(deleteQueue.pop());
}
deleteQueue.clear();
if (rowptr.getCells().isEmpty()) {
return success;
}
Symbol entering = anyPivotableSymbol(rowptr);
if (entering.getType() == Symbol.Type.INVALID) {
return false; // unsatisfiable (will this ever happen?)
}
rowptr.solveFor(art, entering);
substitute(entering, rowptr);
this.rows.put(entering, rowptr);
}
// Remove the artificial variable from the tableau.
for (Map.Entry<Symbol, Row> rowEntry : rows.entrySet()) {
rowEntry.getValue().remove(art);
}
objective.remove(art);
return success;
}
/**
* Substitute the parametric symbol with the given row.
* <p/>
* This method will substitute all instances of the parametric symbol
* in the tableau and the objective function with the given row.
*/
void substitute(Symbol symbol, Row row) {
for (Map.Entry<Symbol, Row> rowEntry : rows.entrySet()) {
rowEntry.getValue().substitute(symbol, row);
if (rowEntry.getKey().getType() != Symbol.Type.EXTERNAL && rowEntry.getValue().getConstant() < 0.0) {
infeasibleRows.add(rowEntry.getKey());
}
}
objective.substitute(symbol, row);
if (artificial != null) {
artificial.substitute(symbol, row);
}
}
/**
* Optimize the system for the given objective function.
* <p/>
* This method performs iterations of Phase 2 of the simplex method
* until the objective function reaches a minimum.
*
* @throws InternalSolverError The value of the objective function is unbounded.
*/
void optimize(Row objective) {
while (true) {
Symbol entering = getEnteringSymbol(objective);
if (entering.getType() == Symbol.Type.INVALID) {
return;
}
Row entry = getLeavingRow(entering);
if(entry == null){
throw new InternalSolverError("The objective is unbounded.");
}
Symbol leaving = null;
for(Symbol key: rows.keySet()){
if(rows.get(key) == entry){
leaving = key;
}
}
Symbol entryKey = null;
for(Symbol key: rows.keySet()){
if(rows.get(key) == entry){
entryKey = key;
}
}
rows.remove(entryKey);
entry.solveFor(leaving, entering);
substitute(entering, entry);
rows.put(entering, entry);
}
}
void dualOptimize() throws InternalSolverError{
while(!infeasibleRows.isEmpty()){
Symbol leaving = infeasibleRows.remove(infeasibleRows.size() - 1);
Row row = rows.get(leaving);
if(row != null && row.getConstant() < 0.0){
Symbol entering = getDualEnteringSymbol(row);
if(entering.getType() == Symbol.Type.INVALID){
throw new InternalSolverError("internal solver error");
}
rows.remove(leaving);
row.solveFor(leaving, entering);
substitute(entering, row);
rows.put(entering, row);
}
}
}
/**
* Compute the entering variable for a pivot operation.
* <p/>
* This method will return first symbol in the objective function which
* is non-dummy and has a coefficient less than zero. If no symbol meets
* the criteria, it means the objective function is at a minimum, and an
* invalid symbol is returned.
*/
private static Symbol getEnteringSymbol(Row objective) {
for (Map.Entry<Symbol, Double> cell : objective.getCells().entrySet()) {
if (cell.getKey().getType() != Symbol.Type.DUMMY && cell.getValue() < 0.0) {
return cell.getKey();
}
}
return new Symbol();
}
private Symbol getDualEnteringSymbol(Row row){
Symbol entering = new Symbol();
double ratio = Double.MAX_VALUE;
for(Symbol s: row.getCells().keySet()){
if(s.getType() != Symbol.Type.DUMMY){
double currentCell = row.getCells().get(s);
if(currentCell > 0.0){
double coefficient = objective.coefficientFor(s);
double r = coefficient / currentCell;
if(r < ratio){
ratio = r;
entering = s;
}
}
}
}
return entering;
}
/**
* Get the first Slack or Error symbol in the row.
* <p/>
* If no such symbol is present, and Invalid symbol will be returned.
*/
private Symbol anyPivotableSymbol(Row row) {
Symbol symbol = null;
for (Map.Entry<Symbol, Double> entry : row.getCells().entrySet()) {
if (entry.getKey().getType() == Symbol.Type.SLACK || entry.getKey().getType() == Symbol.Type.ERROR) {
symbol = entry.getKey();
}
}
if (symbol == null) {
symbol = new Symbol();
}
return symbol;
}
/**
* Compute the row which holds the exit symbol for a pivot.
* <p/>
* This documentation is copied from the C++ version and is outdated
* <p/>
* <p/>
* This method will return an iterator to the row in the row map
* which holds the exit symbol. If no appropriate exit symbol is
* found, the end() iterator will be returned. This indicates that
* the objective function is unbounded.
*/
private Row getLeavingRow(Symbol entering) {
double ratio = Double.MAX_VALUE;
Row row = null;
for(Symbol key: rows.keySet()){
if(key.getType() != Symbol.Type.EXTERNAL){
Row candidateRow = rows.get(key);
double temp = candidateRow.coefficientFor(entering);
if(temp < 0){
double temp_ratio = (-candidateRow.getConstant() / temp);
if(temp_ratio < ratio){
ratio = temp_ratio;
row = candidateRow;
}
}
}
}
return row;
}
/**
* Get the symbol for the given variable.
* <p/>
* If a symbol does not exist for the variable, one will be created.
*/
private Symbol getVarSymbol(Variable variable) {
Symbol symbol;
if (vars.containsKey(variable)) {
symbol = vars.get(variable);
} else {
symbol = new Symbol(Symbol.Type.EXTERNAL);
vars.put(variable, symbol);
}
return symbol;
}
/**
* Test whether a row is composed of all dummy variables.
*/
private static boolean allDummies(Row row) {
for (Map.Entry<Symbol, Double> cell : row.getCells().entrySet()) {
if (cell.getKey().getType() != Symbol.Type.DUMMY) {
return false;
}
}
return true;
}
}