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Figure 8 presents solutions of PPHT for a given set of points and various parameters values.
Now, we formally define the Torricellian points for a given set of points.
In this paper we have proposed a 2-approximation algorithm for solving the sweep coverage for a given set of points of interest (PoIs).
The space-partitioning-based methods compute TSP for a given set of points (Q) in three main steps: (1) partition nodes in (Q) into smaller subsets based on their pairwise Euclidean distances, (2) connect the nodes in the same subset into a Hamilton path and (3) determine the Hamilton circuit for (Q) by linking all Hamilton paths obtained for all subsets.
As an important issue in travel planning, traveling salesman problem (TSP) has been extensively studied, which finds a tour that traverses all the points exactly once with the minimum overall distance, for a given set of points, and is known as NP-hard problem.
For a given set of points {(x i, y i )1 ≤ i ≤ N }, where x i ∈ R n is the ith input vector and y i ∈ {−1, 1} is the desired output (class label), the SVM finds a hyperplane to separate the training data with a maximal margin.
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It contains routines for vertex and facet enumeration, computation of incidences and symmetries, as well as completion of the set of lattice points in the convex hull of a given set of points.
Content-based travel recommender systems suggest touristic attractions based on a best match between users' preferences and a given set of points of interests, called POIs for short.
An orthogonal spanner network for a given set of n points in the plane is a plane straight line graph with axis-aligned edges that connects all input points.
The expectation maximization algorithm is widely used for estimating probable parameters of the GMM for a given set of observed data points (30).
This fact is utilized to detect straight lines in a given set of boundary points.
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for a given set of sensors
for a given set of unknowns
for a given set of functions
for a given set of genomes
for a given set of inputs
for a given set of documents
for a given set of servers
for a given distribution of points
for a given set of weights
for a given number of points
for a given point of points
for a given set of conditions
for a given pair of points
for a given set of nodes
for a given expression of points
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com