/src/main/java/net/finmath/marketdata/model/curves/locallinearregression/CurveEstimation.java
partitionAsVector.getRange( 0,partitionAsVector.length-10).neg( ).add( independentValues[i]).mul( kernelValues).add( partitionIncrements.getRange( 10,partitionAsVector.length).mul( kernelSum.getRange( 10, kernelSum.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 ) ) ) ) ;
kernelSum=kernelSum.add(oneZeroVector.mmul(kernelValues.get(r))); } R=R.add(shiftedPartition.neg().add(independentValues[i]).mul(shiftedKernelVector) .add(partitionIncrements.mul(kernelSum)).mul(dependentValues[i])); M1_1=M1_1.add( kernelSum.get(0)); MFirstCol=MFirstCol.add( <extra_id_0> 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( partitionIncrements.getRange(1,partitionAsVector.length) .mul(partitionIncrements.getRange(1,partitionAsVector.length)