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