Streamfunction calculated by QA with different with different grid resolutions Streamfunction averaged over 10 runs from QA (shading) and the “true” solution (black contour lines)... by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Cost function calculated by QA with different hyperparameters. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

QA and SA solutions by truncated spectral expansion when by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Streamfunction calculated by SA with different hyperparameters. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

QA and SA solutions by truncated spectral expansion when by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Schematics for graph embedding. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

SA solutions using a series of spins without iteration. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Schematics of SA and QA procedure. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

QA solutions using a series of spins without iteration. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Cost function calculated by SA with different hyperparameters. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

HMM to infer selection. by Adam G. Fine (21763286)

“…Trajectories with population frequencies closer to the frequencies in the samples are given more weight when computing the expected values in the E-step of the algorithm. B) Log-likelihood surface and path of the EM-HMM optimization under each mode for a given replicate simulated under <i>additive</i> selection.…”

Screening MMRG gene variables associated with UC based on the optimal machine learning model. by Li Li (14993)

Train stopping plan. by Jing Xu (15337)

“…To solve this optimization model, a multi-level optimization algorithm is designed. …”

Major notations. by Jing Xu (15337)

“…To solve this optimization model, a multi-level optimization algorithm is designed. …”

S1 File - by Jing Xu (15337)

“…To solve this optimization model, a multi-level optimization algorithm is designed. …”

Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment by Eli Ben-Michael (10803815)

“…We develop a maximin robust optimization approach that partially identifies the expected utility of a policy, and then finds a policy that maximizes the worst-case expected utility. …”

The network recovered from the gut dataset using HMFGraph. by Aapo E. Korhonen (22530674)

Algorithm framework in revitalizing HBs. by Kailun Fang (13949729)

The obtained scenarios of the wind speed by MCS. by Naima Agouzoul (21743513)

“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”

The power generated for the SEVS. by Naima Agouzoul (21743513)

“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”