Tensor product numerical methods for high-dimensional problems in probability and quantum calculations

Project: Research council

Project Details

Postdoctoral EPSRC Fellowship

Status	Finished
Effective start/end date	1/01/16 → 31/12/18

Tensor decomposition methods for high-dimensional Hamilton-Jacobi-Bellman equations
Dolgov, S., Kalise, D. & Kunisch, K. K., May 2021, In: SIAM Journal on Scientific Computing. 43, 3, p. A1625-A1650 26 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Guaranteed a posteriori error bounds for low-rank tensor approximate solutions
Dolgov, S. & Vejchodský, T., 9 Jun 2020, In: IMA Journal of Numerical Analysis. draa010.
Research output: Contribution to journal › Article › peer-review

Open Access
Low-rank solution of an optimal control problem constrained by random Navier-Stokes equations
Benner, P., Dolgov, S., Onwunta, A. & Stoll, M., 13 May 2020, In: International Journal for Numerical Methods in Fluids.
Research output: Contribution to journal › Article › peer-review

Open Access