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feature: cholesky decompostiion finised

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i said finished but i get an out of bounds exception lololol
This commit is contained in:
Abdellah El Morabit 2025-11-25 23:28:17 +01:00
parent e70ce01ce4
commit fcad65fc51
2 changed files with 19 additions and 23 deletions
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37
src/main/scala/com/nsrddyn/FPU/CholeskyDecomposition.scala
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@ -23,31 +23,24 @@ class CholeskyDecomposition {
* This is true because of the special case of A being a square, conjugate symmetric matrix. * This is true because of the special case of A being a square, conjugate symmetric matrix.
*/ */
def run(matrix: List[List[Int]]): Unit = { def run(matrix: Vector[Vector[Int]]): Unit = {
val n: Int = matrix.size val size: Int = matrix.size
val lower: ArrayBuffer[ArrayBuffer[Int]] = ArrayBuffer[ArrayBuffer[Int]]()
// store the lower triangular matrix for
val lower = Vector[Vector[Int]]() i <- 0 to size
j <- 0 until i
do
if i == j then lower(i)(j) = getSquaredSummation(lower, i, j, matrix) else lower(j)(j) = getReversedSummation(lower, i, j, matrix)
for (i <- 0 until n)
{
for (j <- 0 until i)
var sum: Double = 0
if j == i then
sum += math.pow(lowerBuffer(i)(j), 2)
end if
lower(i)(j) = (sqrt(matrix(i)(j))())
j += 1
}
i += 1
} }
def (matrix: Vector[Vector[Int]], index: int, jindex: int ): Int = if j == 1 then return math.pow(matrix(index)(jindex)) else
private def getReversedSummation(lower: ArrayBuffer[ArrayBuffer[Int]], i: Int, j: Int, matrix: Vector[Vector[Int]]) = {
math.sqrt(matrix(j)(j) - (0 until j).map { k => lower(i)(k) * lower(j)(k) }.sum).toInt
}
private def getSquaredSummation(lower: ArrayBuffer[ArrayBuffer[Int]], i: Int, j: Int, matrix: Vector[Vector[Int]]) = {
((matrix(i)(j) - (0 until j).map { k => math.pow(lower(j)(k), 2)}.sum) / lower(j)(j)).toInt
}
} }

5
src/main/scala/com/nsrddyn/Tests/CholeskyDecompositionTest.scala
View File

@ -8,9 +8,12 @@ class CholeskyDecompositionTest extends CholeskyDecomposition {
def test(): Unit = { def test(): Unit = {
val cdp: CholeskyDecomposition = new CholeskyDecomposition val cdp: CholeskyDecomposition = new CholeskyDecomposition
val matrix: List[List[Int]] = List.empty[List[Int]] val matrix: Vector[Vector[Int]] = Vector(Vector(1,2,3),Vector(1,2,3),Vector(1,2,3))
println(cdp.run(matrix)) println(cdp.run(matrix))
} }
} }