Remove useless conditionals

Author: jecisc

src/Math-Clustering/PMCovarianceCluster.class.st

@@ -7,9 +7,7 @@ Class {
 { #category : #initialization }
 PMCovarianceCluster >> centerOn: aVector [
 
-	accumulator := aVector
-		               ifNil: [ nil ]
-		               ifNotNil: [ PMMahalanobisCenter onVector: aVector ]
+	accumulator := aVector ifNotNil: [ PMMahalanobisCenter onVector: aVector ]
 ]
 
 { #category : #transformation }

src/Math-FunctionFit/PMErrorAsParameterFunction.class.st

@@ -4,7 +4,7 @@ ErrorAsParameterFunction is used internally by ErrorMinimizer. it is essentially
 Class {
 	#name : #PMErrorAsParameterFunction,
 	#superclass : #PMSimpleParameterFunction,
-	#category : 'Math-FunctionFit'
+	#category : #'Math-FunctionFit'
 }
 
 { #category : #accessing }
@@ -50,17 +50,18 @@ PMErrorAsParameterFunction >> parameters: indexableCollection [
 
 { #category : #printing }
 PMErrorAsParameterFunction >> printOn: aStream [
+
 	aStream
 		nextPutAll: 'an ';
 		nextPutAll: self class name;
 		nextPutAll: '( function: ';
-		print: (function ifNil: [ nil ] ifNotNil: [ :f | f first ]);
+		print: (function ifNotNil: [ :f | f first ]);
 		nextPutAll: ' maxFunction: ';
 		print: self maxFunction.
-	varArray
-		ifNotNil: [ aStream
-				nextPutAll: ' parameters: ';
-				print: self parameters ].
+	varArray ifNotNil: [
+		aStream
+			nextPutAll: ' parameters: ';
+			print: self parameters ].
 	aStream nextPut: $)
 ]
 

src/Math-Numerical/PMLeastSquareFit.class.st

@@ -22,9 +22,7 @@ PMLeastSquareFit class >> histogram: aHistogram distributionClass: aProbabilityD
 { #category : #creation }
 PMLeastSquareFit class >> points: aDataHolder function: aParametricFunction [
 
-	^ aParametricFunction
-		  ifNil: [ nil ]
-		  ifNotNil: [ self new initialize: aDataHolder data: aParametricFunction ]
+	^ aParametricFunction ifNotNil: [ self new initialize: aDataHolder data: aParametricFunction ]
 ]
 
 { #category : #operation }

src/Math-Numerical/PMScaledProbabilityDensityFunction.class.st

@@ -23,9 +23,7 @@ PMScaledProbabilityDensityFunction class >> histogram: aHistogram distributionCl
 	"Create a new instance of the receiver with given probability density function and histogram."
 
 	| dp |
-	^ (dp := aProbabilityDensityFunctionClass fromHistogram: aHistogram)
-		  ifNil: [ nil ]
-		  ifNotNil: [ self histogram: aHistogram against: dp ]
+	^ (dp := aProbabilityDensityFunctionClass fromHistogram: aHistogram) ifNotNil: [ self histogram: aHistogram against: dp ]
 ]
 
 { #category : #transformation }