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Jesse van Rhijn
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Energy derivatives in real-space diffusion Monte Carlo
J Van Rhijn, C Filippi, S De Palo, S Moroni
Journal of chemical theory and computation 18 (1), 118-123, 2021
122021
Worst-Case and Smoothed Analysis of Hartigan's Method for k-Means Clustering
B Manthey, J van Rhijn
arXiv preprint arXiv:2309.10368, 2023
12023
Approximation Ineffectiveness of a Tour-Untangling Heuristic
B Manthey, J van Rhijn
International Workshop on Approximation and Online Algorithms, 1-13, 2023
12023
Midpoint projection algorithm for stochastic differential equations on manifolds
RR Joseph, J van Rhijn, PD Drummond
Physical Review E 107 (5), 055307, 2023
12023
Improved Smoothed Analysis of 2-Opt for the Euclidean TSP
B Manthey, J van Rhijn
arXiv preprint arXiv:2211.16908, 2022
12022
Towards a Lower Bound for the Average Case Runtime of Simulated Annealing on TSP
B Manthey, J van Rhijn
arXiv preprint arXiv:2208.11444, 2022
12022
A hybrid projection algorithm for stochastic differential equations on manifolds
RR Joseph, J van Rhijn, PD Drummond
arXiv preprint arXiv:2112.03391, 2021
12021
Complexity of Local Search for Euclidean Clustering Problems
B Manthey, N Morawietz, J van Rhijn, F Sommer
arXiv preprint arXiv:2312.14916, 2023
2023
Worst-Case and Smoothed Analysis of the Hartigan-Wong Method for k-Means Clustering
B Manthey, J van Rhijn
2023
A midpoint projection algorithm for stochastic differential equations on manifolds
R Rushin Joseph, J van Rhijn, PD Drummond
arXiv e-prints, arXiv: 2112.03391, 2021
2021
A Hybrid Projection Algorithm for Stochastic Differential Equations on Manifolds
P Drummond, RR Joseph, J van Rhijn
Available at SSRN 4012861, 0
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Articles 1–11