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4 changes: 2 additions & 2 deletions src/Math-Matrix-Tests/PMJacobiTransformationTest.class.st
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ PMJacobiTransformationTest >> testEigenvalueOfIdentityMatrixIsOne [
jacobiTransformation := PMJacobiTransformation matrix: identityMatrix.

expected := #(1 1).
self assert: jacobiTransformation evaluate equals: expected
self assert: jacobiTransformation eigenValues equals: expected
]

{ #category : 'tests' }
Expand All @@ -26,7 +26,7 @@ PMJacobiTransformationTest >> testEigenvectorsOfIdentityMatrixAreTheUnitVectors
identityMatrix := PMMatrix rows: #(#(1 0) #(0 1)).
jacobiTransform := PMJacobiTransformation matrix: identityMatrix.

matrixOfEigenvectors := jacobiTransform transform.
matrixOfEigenvectors := jacobiTransform eigenVectors.

expected := PMSymmetricMatrix identity: 2.
self assert: matrixOfEigenvectors equals: expected.
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3 changes: 1 addition & 2 deletions src/Math-Matrix-Tests/PMMatrixTest.class.st
Original file line number Diff line number Diff line change
Expand Up @@ -193,9 +193,8 @@ PMMatrixTest >> testEigenvalues [
expectedEigenvalues := #(8.105482616526306 4.776537928330764 2.1179794551429305).

finder := PMJacobiTransformation matrix: matrix.
finder desiredPrecision: 1.0e-09.

eigenvalues := finder evaluate.
eigenvalues := finder eigenValues.

eigenvalues with: expectedEigenvalues do: [ :actual :expected |
self assert: actual closeTo: expected ].
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Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@ PMSingularValueDecompositionTest class >> loadExamples [
example4 := PMSingularValueDecompositionExample
newMatrix: (PMMatrix rows: #( #( 1 0 0 0 2 ) #( 0 0 3 0 0 ) #( 0 0 0 0 0 ) #( 0 2 0 0 0 ) ))
u: (PMMatrix rows: #( #( 0 1 0 0 ) #( 1 0 0 0 ) #( 0 0 0 1 ) #( 0 0 1 0 ) ))
v: (PMMatrix rows: { { 0. 0.2 sqrt. 0. 0.8 sqrt. 0 }. { 0. 0. 1. 0. 0 }. { 1. 0. 0. 0. 0 }. { 0. 0. 0. 0. 1 }. { 0. 0.8 sqrt. 0. 0.2 sqrt negated. 0 } })
v: (PMMatrix rows: { { 0. 0.2 sqrt. 0. 0. 0.8 sqrt }. { 0. 0. 1. 0. 0 }. { 1. 0. 0. 0. 0 }. { 0. 0. 0. 1. 0 }. { 0. 0.8 sqrt. 0. 0. 0.2 sqrt negated } })
s: (PMMatrix rows: { { 3. 0. 0. 0. 0 }. { 0. 5 sqrt. 0. 0. 0 }. { 0. 0. 2. 0. 0 }. { 0. 0. 0. 0. 0 } }).
]

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