scalation.minima

SimplexTest

object SimplexTest extends App

This object is used to test the Simplex class.

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  1. final def !=(arg0: Any): Boolean

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  4. def args: Array[String]

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    @deprecatedOverriding( "args should not be overridden" , "2.11.0" )

  5. final def asInstanceOf[T0]: T0

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  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. val executionStart: Long

    Definition Classes
    App

  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def main(args: Array[String]): Unit

    Definition Classes
    App
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    @deprecatedOverriding( "main should not be overridden" , "2.11.0" )

  15. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def test(a: MatrixD, b: VectorD, c: VectorD, x_B: Array[Int] = null): Unit

    Test the Simplex Algorithm for solving Linear Programming problems.

    Test the Simplex Algorithm for solving Linear Programming problems.

    a

    the constraint matrix

    b

    the limit/RHS vector

    c

    the cost vector

    x_B

    the indices of the intial basis

  20. def test1(): Unit

    Test case 1: Initialize matrix 'a', vectors 'b' and 'c', and optionally the basis 'x_B'.

    Test case 1: Initialize matrix 'a', vectors 'b' and 'c', and optionally the basis 'x_B'. For Simplex, matrix 'a' and vector 'c' are not augmented. ------------------------------------------------------------------------- Minimize z = -1x_0 - 2x_1 + 1x_2 - 1x_3 - 4x_4 + 2x_5 Subject to 1x_0 + 1x_1 + 1x_2 + 1y_3 + 1y_4 + 1x_5 <= 6 2x_0 - 1x_1 - 2x_2 + 1y_3 + 0y_4 + 0x_5 <= 4 0x_0 + 0x_1 + 1x_2 + 1y_3 + 2y_4 + 1x_5 <= 4 where z is the objective variable and x is the decision vector. ------------------------------------------------------------------------- Solution: primal x_1 = 4, x_7 = 8, x_4 = 2 dual y_1 = -2, y_2 = 0, y_3 = -1 objF f = -16 i.e., x = (4, 8, 2), x_B = (1, 7, 4), y = (-2, 0, -1), f = -16

    See also

    Linear Programming and Network Flows, Example 5.1

  21. def test2(): Unit

    Test case 2: Solution: x = (2/3, 10/3, 0), x_B = (0, 1, 5), f = -22/3

    Test case 2: Solution: x = (2/3, 10/3, 0), x_B = (0, 1, 5), f = -22/3

    See also

    Linear Programming and Network Flows, Example 5.2

  22. def test3(): Unit

    Test case 3: Solution: x = (1/3, 0, 13/3), x_B = (0, 2, 4), f = -17

    Test case 3: Solution: x = (1/3, 0, 13/3), x_B = (0, 2, 4), f = -17

    See also

    Linear Programming and Network Flows, Example 3.9

  23. def test4(): Unit

    Test case 4: randomly generated LP problem.

  24. def toString(): String

    Definition Classes
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  25. final def wait(): Unit

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  26. final def wait(arg0: Long, arg1: Int): Unit

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  27. final def wait(arg0: Long): Unit

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Deprecated Value Members

  1. def delayedInit(body: ⇒ Unit): Unit

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    App → DelayedInit
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    @deprecated
    Deprecated

    (Since version 2.11.0) The delayedInit mechanism will disappear.

Inherited from App

Inherited from DelayedInit

Inherited from AnyRef

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