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src/Math-Tests-Numerical/PMLeastSquaresTest.class.st

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@@ -104,38 +104,6 @@ PMLeastSquaresTest >> testPseudoinverseOfDiagonalWideMatrix [
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self assert: inverse closeTo: expectedInverse.
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]
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{ #category : #tests }
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PMLeastSquaresTest >> testSolveIntelFortran [
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"An example of least squares system (AX = B) taken from Intel DGELSD Example Program in Fortran:
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https://www.intel.com/content/www/us/en/develop/documentation/onemkl-lapack-examples/top/least-squares-and-eigenvalue-problems/linear-least-squares-lls-problems/gelsd-function/dgelsd-example/dgelsd-example-fortran.html"
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| matrixA matrixB expectedSolution solution |
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matrixA := PMMatrix rows: #(
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( 0.12 -8.19 7.69 -2.26 -4.71)
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(-6.91 2.22 -5.12 -9.08 9.96)
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(-3.33 -8.94 -6.72 -4.40 -9.98)
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( 3.97 3.33 -2.74 -7.92 -3.20)).
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matrixB := PMMatrix rows: #(
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(7.30 0.47 -6.28)
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(1.33 6.58 -3.42)
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(2.68 -1.71 3.46)
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(-9.62 -0.79 0.41)).
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expectedSolution := PMMatrix rows: #(
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(-0.69 -0.24 0.06)
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(-0.80 -0.08 0.21)
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( 0.38 0.12 -0.65)
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( 0.29 -0.24 0.42)
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( 0.29 0.35 -0.30)).
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solution := leastSquares
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solveMatrixA: matrixA
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matrixB: matrixB.
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self assert: solution closeTo: expectedSolution.
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]
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{ #category : #tests }
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PMLeastSquaresTest >> testSolveSmallOneSolution [
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"Small example of least squares system (AX = B) with one solution taken from here: https://textbooks.math.gatech.edu/ila/least-squares.html"

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