final case class GramSchmidtMatrix(in: D, rows: I, columns: I, normalize: I = 0) extends SingleOut[Double] with Product with Serializable
A UGen that orthogonalizes an input matrix using the stabilized Gram-Schmidt algorithm. It processes the row vectors per matrix by making them orthogonal to one another, optionally also orthonormal.
- in
the input matrices
- rows
the number of rows of the input
- columns
the number of columns of the input
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- val columns: I
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- def makeUGens(implicit b: Builder): UGenInLike[Double]
Abstract method which must be implemented by creating the actual
UGens during expansion.Abstract method which must be implemented by creating the actual
UGens during expansion. This method is at most called once during graph expansion- returns
the expanded object (depending on the type parameter
U)
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- final def name: String
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- val normalize: I
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- val rows: I
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