Clarify inverse and cofactor
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@ -459,8 +459,9 @@ fun complementMatrix(input: IMatrixGetterLong, column: Int, row: Int, buffer: Lo
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* Computes cofactor matrix of specified square matrix [input],
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* returning result as [Double2Dimensional]
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*
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* This operation requires n * n determinant calculations of matrix,
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* so do cache result of this function in performance critical context.
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* This operation requires **O(n!)** determinant calculations of matrix,
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* so do cache result of this function in performance critical context,
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* because it is calculated analytically.
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*
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* @throws IllegalArgumentException if provided [input] is not a square matrix
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* @return 2d array containing result matrix
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@ -497,8 +498,9 @@ fun cofactorMatrix(input: IMatrixGetterDouble): Double2Dimensional {
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* Computes cofactor matrix of specified square matrix [input],
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* returning result as [Float2Dimensional]
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*
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* This operation requires n * n determinant calculations of matrix,
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* so do cache result of this function in performance critical context.
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* This operation requires **O(n!)** determinant calculations of matrix,
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* so do cache result of this function in performance critical context,
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* because it is calculated analytically.
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*
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* @throws IllegalArgumentException if provided [input] is not a square matrix
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* @return 2d array containing result matrix
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@ -569,8 +571,9 @@ fun adjugateMatrix(input: IMatrixGetterFloat): Float2Dimensional {
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* Computes inverse matrix of specified square matrix [input],
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* returning result as [Double2Dimensional],
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*
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* This operation requires 1 + n * n determinant calculations of original matrix,
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* so do cache result of this function in performance critical context.
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* This operation requires **O(n! + 1)** determinant calculations of original matrix,
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* so do cache result of this function in performance critical context,
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* because it is calculated analytically.
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*
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* If determinant is zero, null is returned.
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*
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@ -601,8 +604,9 @@ fun inverseMatrix(input: IMatrixGetterDouble): Double2Dimensional? {
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* Computes inverse matrix of specified square matrix [input],
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* returning result as [Float2Dimensional],
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*
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* This operation requires 1 + n * n determinant calculations of original matrix,
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* so do cache result of this function in performance critical context.
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* This operation requires **O(n! + 1)** determinant calculations of original matrix,
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* so do cache result of this function in performance critical context,
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* because it is calculated analytically.
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*
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* If determinant is zero, null is returned.
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*
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@ -10,7 +10,10 @@ import ru.dbotthepony.kstarbound.world.ChunkPos
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import ru.dbotthepony.kvector.matrix.adjugateMatrix
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import ru.dbotthepony.kvector.matrix.multiplyMatrix
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import ru.dbotthepony.kvector.matrix.inverseMatrix
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import ru.dbotthepony.kvector.matrix.ndouble.MatrixVd
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import ru.dbotthepony.kvector.matrix.ndouble.MutableMatrixVd
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import ru.dbotthepony.kvector.narray.Double2Dimensional
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import java.util.*
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object MathTests {
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@Test
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