Cleavage time as a function of scaled fiber diameter. حسب Roukayatou R. Ouedraogo (20460980)

Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values. حسب Roukayatou R. Ouedraogo (20460980)

Summary of greedy algorithms presented in this section. Details of approximation factors for FastGreedy and UnitGreedy may be found in [26] and [25], respectively. حسب Jeffrey Keithley (14626551)

الموضوعات:

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, SingletonGreedy, FastGreedy and baselines for = 0.535 in Iowa for FRED (first column) and SafeGraph (second col... حسب Jeffrey Keithley (14626551)

الموضوعات:

Metapopulation model notation. حسب Jeffrey Keithley (14626551)

الموضوعات:

Estimates of for each problem instance. حسب Jeffrey Keithley (14626551)

الموضوعات:

The instance of MaxCasesAverted and MaxPeaksReduced is a graph <i>G</i> constructed from the given instance of Max k-SI. حسب Jeffrey Keithley (14626551)

الموضوعات:

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, FastGreedy and baselines for = 0.525 in Texas for FRED (first column) and SafeGraph (second column). حسب Jeffrey Keithley (14626551)

الموضوعات:

Approximation factors for each problem instance. حسب Jeffrey Keithley (14626551)

الموضوعات:

Percentage totBurden and percentage maxBurden reduced by all approaches for = 0.5345 in New Hampshire for FRED (first column) and SafeGraph (second column). حسب Jeffrey Keithley (14626551)

الموضوعات:

FastGreedy, UnitGreedy, SingletonGreedy, 3-EnumGreedy, and POMS comparison with respect to practical running time (estimated for POMS) to achieve approximation guarantee for New Ha... حسب Jeffrey Keithley (14626551)

الموضوعات:

The parameters of algorithms. حسب Le Huu Binh (18340233)

"…However, solving the RNP problem in WMN is difficult because it is NP-hard. As a result, this problem can only be solved using approximate optimization algorithms such as heuristics and meta-heuristics. …"

Optimization process of fitness function . حسب Yuehong Zhang (82779)

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

الموضوعات: "…currently available algorithms…"

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

الموضوعات: "…currently available algorithms…"

Objective functions and solving methods for PVRP problems with time windows, multiple depots, and a heterogeneous fleet. حسب Alejandro Arenas-Vasco (19797133)

ddPCR mtDNA amplicon concentration as a function of distance. حسب Patrick Kurtz (21772385)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. حسب Yuanchen Zhao (12905580)

"…The reaction network is assumed to form a linear degradation chain 1 → 2 → ⋯ → <i>N</i> with the end-product concentration (metabolite <i>N</i>, orange) taken as the function of interest (shown with <i>N</i> = 3 as an example). …"

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)... حسب Takuro Matsuta (21608505)

الموضوعات: "…currently available algorithms…"

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

الموضوعات: "…currently available algorithms…"