QuadraticMinimizer

Value Members

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

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def apply(rank: Int, constraint: Constraint, lambda: Double = 1.0): QuadraticMinimizer

   

5. def approximateMaxEigen(H: DenseMatrix[Double]): Double

   

6. def approximateMinEigen(H: DenseMatrix[Double]): Double

   

7. final def asInstanceOf[T0]: T0

   

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8. def clone(): AnyRef

   

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9. def computeObjective(h: DenseMatrix[Double], q: DenseVector[Double], x: DenseVector[Double]): Double

   

10. def dgetrs(A: DenseMatrix[Double], pivot: Array[Int], x: DenseVector[Double]): Unit

    

    Triangular LU solve for finding y such that y := Ax where A is the LU factorization

    Triangular LU solve for finding y such that y := Ax where A is the LU factorization

    A

    vector representation of LU factorization

    pivot

    pivot from LU factorization

    x

    the linear term for the solve which will also host the result

11. def dpotrs(A: DenseMatrix[Double], x: DenseVector[Double]): Unit

    

    Triangular Cholesky solve for finding y through backsolves such that y := Ax

    Triangular Cholesky solve for finding y through backsolves such that y := Ax

    A

    vector representation of lower triangular cholesky factorization

    x

    the linear term for the solve which will also host the result

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

    

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13. def equals(arg0: Any): Boolean

    

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14. def finalize(): Unit

    

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15. def gemv(alpha: Double, A: DenseMatrix[Double], x: DenseVector[Double], beta: Double, y: DenseVector[Double]): Unit

    

    y := alpha * A * x + beta * y For DenseMatrix A.

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

    

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17. def hashCode(): Int

    

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18. final def isInstanceOf[T0]: Boolean

    

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

    

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

    

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21. def normColumn(H: DenseMatrix[Double]): Double

    

22. final def notify(): Unit

    

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23. final def notifyAll(): Unit

    

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24. def optimizeWithLBFGS(init: DenseVector[Double], H: DenseMatrix[Double], q: DenseVector[Double]): DenseVector[Double]

    

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

    

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26. def toString(): String

    

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27. final def wait(): Unit

    

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

    

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

    

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