/src/main/java/net/finmath/marketdata/model/curves/locallinearregression/CurveEstimation.java
.mul( partitionAsVector.get( r) .neg( ).add( independentValues[i]) ).mul( kernelValues).add( partitionIncrements
.mul ( partitionAsVector.getRange ( 0,partitionAsVector.length-1 ) .neg ( ) .add ( independentValues[i] ) ) .mul ( kernelValues ) .add ( partitionIncrements.getRange ( 1,partitionAsVector.length ) .mul ( partitionIncrements.getRange ( 1,partitionAsVector.length )
partitionAsVector.getRange(0,partitionAsVector.length-1).neg().add(independentValues[i]) .mul(kernelValues).add( partitionIncrements.getRange(1,partitionAsVector.length) .mul(kernelSum.getRange(1, kernelSum.length)))); MSubDiagonal=MSubDiagonal.add( partitionAsVector.getRange(0,partitionAsVector.length-1).neg().add(independentValues[i]) <extra_id_0> .mul(kernelSum.getRange(1, kernelSum.length))))); MSubMatrixSum=MSubMatrixSum.add( partitionAsVector.getRange(0, partitionAsVector.length-1).neg().add(independentValues[i]) .mul(kernelValues).add( partitionIncrements.getRange(1, partitionIncrements.length) .mul(kernelSum.getRange(1, kernelSum.length))));