Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
notable drawbacks, such as: boundary conditions need to be specified which can seem like a rather ad-hoc procedure, trying to apply initial conditions doesn’t seem to be practical and leads to nonsensical blow-up solutions, numerical instability can occur, especially for small values for λ.