예제 #1
0
 /**
  * Returns the column with the most negative coefficient in the objective function row.
  *
  * @param tableau simple tableau for the problem
  * @return column with the most negative coefficient
  */
 private Integer getPivotColumn(SimplexTableau tableau) {
   double minValue = 0;
   Integer minPos = null;
   for (int i = tableau.getNumObjectiveFunctions(); i < tableau.getWidth() - 1; i++) {
     if (MathUtils.compareTo(tableau.getEntry(0, i), minValue, epsilon) < 0) {
       minValue = tableau.getEntry(0, i);
       minPos = i;
     }
   }
   return minPos;
 }
예제 #2
0
 /**
  * Returns whether the problem is at an optimal state.
  *
  * @param tableau simple tableau for the problem
  * @return whether the model has been solved
  */
 public boolean isOptimal(final SimplexTableau tableau) {
   if (tableau.getNumArtificialVariables() > 0) {
     return false;
   }
   for (int i = tableau.getNumObjectiveFunctions(); i < tableau.getWidth() - 1; i++) {
     if (MathUtils.compareTo(tableau.getEntry(0, i), 0, epsilon) < 0) {
       return false;
     }
   }
   return true;
 }
예제 #3
0
 /**
  * Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
  *
  * @param tableau simple tableau for the problem
  * @param col the column to test the ratio of. See {@link #getPivotColumn(SimplexTableau)}
  * @return row with the minimum ratio
  */
 private Integer getPivotRow(final int col, final SimplexTableau tableau) {
   double minRatio = Double.MAX_VALUE;
   Integer minRatioPos = null;
   for (int i = tableau.getNumObjectiveFunctions(); i < tableau.getHeight(); i++) {
     final double rhs = tableau.getEntry(i, tableau.getWidth() - 1);
     final double entry = tableau.getEntry(i, col);
     if (MathUtils.compareTo(entry, 0, epsilon) > 0) {
       final double ratio = rhs / entry;
       if (ratio < minRatio) {
         minRatio = ratio;
         minRatioPos = i;
       }
     }
   }
   return minRatioPos;
 }
  public void test11() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] {var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 =
        new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] {var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 =
        new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 =
        var4.ebeDivide((org.apache.commons.math.linear.RealVector) var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var11, (double) var12, (double) var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double) var13);
    java.lang.Double[] var16 = new java.lang.Double[] {var13};
    org.apache.commons.math.linear.ArrayRealVector var17 =
        new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var19 = var17.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var20 = var17.mapCosh();
    org.apache.commons.math.linear.RealVector var21 = var17.mapAcos();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] {var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 =
        new org.apache.commons.math.linear.OpenMapRealVector(var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] {var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 =
        new org.apache.commons.math.linear.OpenMapRealVector(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = var24.add(var27);
    org.apache.commons.math.linear.OpenMapRealVector var29 =
        new org.apache.commons.math.linear.OpenMapRealVector(var28);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] {var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 =
        new org.apache.commons.math.linear.ArrayRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] {var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 =
        new org.apache.commons.math.linear.ArrayRealVector(var38);
    org.apache.commons.math.linear.RealVector var40 =
        var34.ebeDivide((org.apache.commons.math.linear.RealVector) var39);
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    int var44 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var41, (double) var42, (double) var43);
    org.apache.commons.math.linear.RealVector var45 = var34.mapDivide((double) var42);
    org.apache.commons.math.linear.RealVector var46 = var29.mapSubtractToSelf((double) var42);
    boolean var47 = var17.equals((java.lang.Object) var42);

    // Checks the contract:  equals-hashcode on var15 and var45
    assertTrue(
        "Contract failed: equals-hashcode on var15 and var45",
        var15.equals(var45) ? var15.hashCode() == var45.hashCode() : true);

    // Checks the contract:  equals-hashcode on var45 and var15
    assertTrue(
        "Contract failed: equals-hashcode on var45 and var15",
        var45.equals(var15) ? var45.hashCode() == var15.hashCode() : true);
  }
  public void test4() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] {var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 =
        new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] {var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 =
        new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] {var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 =
        new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 =
        var8.ebeDivide((org.apache.commons.math.linear.RealVector) var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var15, (double) var16, (double) var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double) var17);
    org.apache.commons.math.linear.ArrayRealVector var20 =
        new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] {var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 =
        new org.apache.commons.math.linear.OpenMapRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] {var24};
    org.apache.commons.math.linear.OpenMapRealVector var26 =
        new org.apache.commons.math.linear.OpenMapRealVector(var25);
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.add(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 =
        new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] {var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 =
        new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] {var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 =
        new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 =
        var33.ebeDivide((org.apache.commons.math.linear.RealVector) var38);
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    int var43 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var40, (double) var41, (double) var42);
    org.apache.commons.math.linear.RealVector var44 = var33.mapDivide((double) var41);
    org.apache.commons.math.linear.RealVector var45 = var28.mapSubtractToSelf((double) var41);
    org.apache.commons.math.linear.RealVector var46 = var20.projection(var45);

    // Checks the contract:  equals-hashcode on var19 and var44
    assertTrue(
        "Contract failed: equals-hashcode on var19 and var44",
        var19.equals(var44) ? var19.hashCode() == var44.hashCode() : true);

    // Checks the contract:  equals-hashcode on var44 and var19
    assertTrue(
        "Contract failed: equals-hashcode on var44 and var19",
        var44.equals(var19) ? var44.hashCode() == var19.hashCode() : true);
  }
  public void test13() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] {var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 =
        new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] {var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 =
        new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 =
        new org.apache.commons.math.linear.OpenMapRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] {var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 =
        new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] {var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 =
        new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 =
        var12.ebeDivide((org.apache.commons.math.linear.RealVector) var17);
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    int var22 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var19, (double) var20, (double) var21);
    org.apache.commons.math.linear.RealVector var23 = var12.mapDivide((double) var20);
    org.apache.commons.math.linear.RealVector var24 = var7.mapSubtractToSelf((double) var20);
    double var25 = var7.getSparcity();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] {var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 =
        new org.apache.commons.math.linear.OpenMapRealVector(var27);
    int var29 = var28.getDimension();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] {var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 =
        new org.apache.commons.math.linear.ArrayRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] {var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 =
        new org.apache.commons.math.linear.ArrayRealVector(var38);
    org.apache.commons.math.linear.RealVector var40 =
        var34.ebeDivide((org.apache.commons.math.linear.RealVector) var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var41, (double) var42, (double) var43);
    org.apache.commons.math.linear.RealVector var45 = var39.mapPowToSelf((double) var43);
    org.apache.commons.math.linear.ArrayRealVector var46 =
        new org.apache.commons.math.linear.ArrayRealVector(var29, var43);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(1.0d);
    java.lang.Double var50 = new java.lang.Double(1.0d);
    boolean var51 = org.apache.commons.math.util.MathUtils.equals((double) var49, (double) var50);
    int var52 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var47, (double) var48, (double) var49);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] {var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 =
        new org.apache.commons.math.linear.ArrayRealVector(var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(0.0d);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] {var58, var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 =
        new org.apache.commons.math.linear.ArrayRealVector(var61);
    org.apache.commons.math.linear.RealVector var63 =
        var57.ebeDivide((org.apache.commons.math.linear.RealVector) var62);
    org.apache.commons.math.linear.RealVector var64 = var57.mapLog10ToSelf();
    java.lang.Double var65 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var66 = var57.mapMultiplyToSelf((double) var65);
    double var67 = org.apache.commons.math.util.MathUtils.indicator((double) var65);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    java.lang.Double var69 = new java.lang.Double(10.0d);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    int var71 =
        org.apache.commons.math.util.MathUtils.compareTo(
            (double) var68, (double) var69, (double) var70);
    double var72 =
        org.apache.commons.math.util.MathUtils.normalizeAngle((double) var65, (double) var69);
    java.lang.Integer var73 = new java.lang.Integer(10);
    java.lang.Integer var74 = new java.lang.Integer(10);
    double var75 =
        org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int) var73, (int) var74);
    java.lang.Integer var76 = new java.lang.Integer(0);
    java.lang.Long var77 = new java.lang.Long(100L);
    int var78 = org.apache.commons.math.util.MathUtils.pow((int) var76, (long) var77);
    double var79 =
        org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int) var74, (int) var76);
    boolean var80 =
        org.apache.commons.math.util.MathUtils.equalsIncludingNaN(
            (double) var49, (double) var69, (int) var76);
    org.apache.commons.math.linear.RealVector var81 = var46.mapMultiplyToSelf((double) var49);
    org.apache.commons.math.linear.RealVector var82 = var7.mapPow((double) var49);

    // Checks the contract:  equals-hashcode on var23 and var45
    assertTrue(
        "Contract failed: equals-hashcode on var23 and var45",
        var23.equals(var45) ? var23.hashCode() == var45.hashCode() : true);

    // Checks the contract:  equals-hashcode on var45 and var23
    assertTrue(
        "Contract failed: equals-hashcode on var45 and var23",
        var45.equals(var23) ? var45.hashCode() == var23.hashCode() : true);
  }