Second Evaluation Report

I completed implementing SROCKEM, SKSROCK and TangXaioSROCK2W2Ito. The last of these is not currently used. One of the main advantages of SROCK methods is the varying number of stages which can be chosen from depending on the spectral radius of the problem. But the paper describing TangXaioSROCK2W2Ito only has constants for 5 stages and it is not trivial to calculate these constants so this method is not suggested. Along with these I also tried improving RKMilCommute GPU Compatibility and Memory utilization. I also improved the General Noise handling in SROCK1, adding noise rate type stability along with some memory optimisation. I added more robust tests for Commutative Noise Solvers.

I made contributions to the Docs Page by adding docs for the ODE and SDE solvers I’ve added.

Solver Description
SROCKEM(strong_order_1 = false) This is an explicit strong order 1/2 solver for stiff Ito type problems. This is basically the Euler-Maruyama Method with First Order ROCK stabilization. It can handle 1-D, Diagonal, Commutative and General Noise. It has strong order 1/2 and weak order 1 for all noise cases.
SROCKEM(strong_order_1 = true) This is an explicit strong order 1 solver for stiff Ito type problems. This is basically the Euler-Maruyama Method with First Order ROCK stabilization. It can handle 1-D, Diagonal, Commutative and General Noise. It has strong order 1 and weak order 1 for all noise cases. The order 1 convergence is obtained with a few extra calculation and extra u-type arrays.
SKSROCK This is an explicit solver with strong and weak order 1 for Ito type problems. This has a really large stability domain about 10 times that of SROCK1.

List of Contributions during Weeks 5 - 8

StochasticDiffEq.jl

Description Pull Requests Current Status
Implemented SROCKEM #168 Merged
RKMilCommute GPU Compatibility #169 Merged
SROCK1 General Noise and Optimisation #170 Merged
RKMilCommute Memory Optimisation #173 Merged
Implemented SKSROCK #174 Merged
Fix Commutative Tests #175 Merged
Implemented Tang Xaio SROCK2W2Ito #177 Merged

DiffEqDocs.jl

Description Pull Requests Current Status
Added Docs for ODE and SDE Solvers #233 Merged

Future Work

With the above contibutions Issue #73 of StochasticDiffEq.jl is almost complete with only SROCK2KomBur and SROCKC2 remaining. After that I want to implement a robust way of approximating Double Stochastic Integrals with order 1 accuracy.

Written on July 27, 2019