Sentence examples for algorithm steers from inspiring English sources

The Guardian found that Facebook search results for groups and pages with information about vaccines were dominated by anti-vaccination propaganda, and that YouTube's recommendation algorithm steers viewers from fact-based medical information toward anti-vaccine misinformation.

These parameters are ideally suited for the ascent guidance task, since the guidance algorithm steers the launch vehicle along a pre-flight optimal trajectory in energy angular momentum space.

The final Section 6 even proves convergence of the standard adaptive mesh-refining algorithm steered by the ZZ-type error estimators proposed.

□ Convergence and optimal rates for the adaptive algorithm steered by the residual error estimator in the sense of   Theorems  4.1 and 8.4   resp.

Moreover, the equivalence of Dörfler marking   (8.9) holds with k = 1, M = M ˜, and C 11 = γ 2. □ Consequence 9.3 Convergence and optimal rates for the adaptive algorithm steered by the residual error estimator in the sense of   Theorems  4.1 and 8.4   resp.

At a time when robots crowd factory lines, algorithms steer cars and smart screens litter the checkout aisles, automation is the new spectre.

We follow people on Twitter who already think like us and Google's algorithms steer us to websites that confirm our ideas; it's getting harder to find any middle ground.

Choices of starting heating vector are also validated.The algorithm successfully steers and focuses a tumor when there is no antenna excitation uncertainty.

In particular, our analysis gives a first contribution to adaptive BEM in the frame of isogeometric analysis (IGABEM), for which we formulate an adaptive algorithm which steers the local mesh-refinement and the multiplicity of the knots.

We plot the quantities (65) err ℓ ≔ (err ℓ (u ) 2 + err ℓ 2 + osc Γ, ℓ 2 ) 1 / 2 as well as ν ¯ ℓ, where the adaptive algorithm is steered by the estimator ν ¯ ℓ from (60) and ν ℓ ∈.

□ This section applies the analysis of the previous one to a specific model problem, where the adaptive algorithm is steered by some locally equivalent and possibly non-residual error estimator.