scalation.minima

DualSimplexTest

object DualSimplexTest extends App

This object is used to test the DualSimplex class.

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

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  13. final def isInstanceOf[T0]: Boolean

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

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

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

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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]): Unit

    Test the DualSimplex Algorithm for solving Linear Programming problems.

    Test the DualSimplex Algorithm for solving Linear Programming problems.

    a

    the constraint matrix

    b

    the limit/RHS vector

    c

    the cost vector

  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 DualSimplex, matrix 'a' and vector 'c' are not augmented. -------------------------------------------------------------------------- Minimize z = 2x_0 + 3x_1 + 4x_2 Subject to 1x_0 + 2x_1 + 1x_2 >= 3 2x_0 - 1x_1 + 3x_2 >= 4 where z is the objective variable and x is the decision vector. Since constraints are >=, multiply by rows by -1 -------------------------------------------------------------------------- Dual Solution: x = (11/5, 2/5), x_B = (0, 1), f = 28/5

    See also

    Linear Programming and Network Flows, Example 6.6

  21. def toString(): String

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

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    Deprecated

    (Since version 2.11.0) The delayedInit mechanism will disappear.

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