partitioning the tree graph into a plurality of sub-trees, each sub-tree including one or more of the identified nodes; processing the plurality of sub-trees in parallel by allocating one or more of the processing elements to each of the sub-trees; and determining the solution based on results of the sub-tree processing.NIKITOPOULOS ...
A vector is a quantity that has magnitude and direction. A scalar has only magnitude. A tangent to a curve is a line that touches the curve at one point. A normal is a line perpendicular to the curve at one point....
% now we have a vector u_test that are not parallel to allVec(i1,:) % First perpendicular vector: VecPerp1(i1,:) = cross(allVecs(i1,:),u_test); % then a second perpendicular to both allVecs(i1,:) and VecPerp1(i1,:) is % the cross-product of those two. VecPerp2(i...
a set of four candidates for the four shortest v ectors among the lattice v ectors not parallel to x 1 . W e ha v e �nished the pro of if w e can sho w that all v ectors x with j�j � 2 are longer than x 3 . The distance of the line f �x 1 + �x 2 j...
This paper presents a hybrid variational quantum algorithm that finds a random eigenvector of a unitary matrix with a known quantum circuit. The algorithm
A parallel exists with string metrics that measure the distance between two strings as the minimum number of character modifications to apply. The Levenshtein distances uses character insertions, deletions, and substitutions [34], whereas the Hamming distance only uses substitutions [35], for instance...
std::vector<Neighbor> neighbors; convert_neighbors(df_j, neighbors); // Iterate const colvec mu0vec = as<colvec>(mu0); @@ -767,18 +856,18 @@ iterate_deconv( #pragma omp parallel shared( \ early_stop, Y, Y_new, error, error_var, num_accepts, num_rejects, \ adaptive_mtx, acc...
Specific features are extracted to construct the input vector X. We then train a classifier to predict whether a pair of inherent structures forms a double well potential (DW) or not. The DW is finally processed using a multi-layer stacking strategy to predict the quantum splitting of the ...
This overload is to be used to get the projected closest point on a plane whose Vector3d is the normal vector. To get the closest point to endPoint on the Polyline, you should use the other overload and set the 'extend' argument to false (in this case, there's no need to get an...
// Finding the shortest path with heuristic weight std::vector<int> pathIndices; bool pathExists = flightGraph.HeuristicShortestPath(pathIndices, "AirportA", "AirportB", 0.3); FilteredShortestPath: Finds the shortest path with filtered edges. BiDirectionalEdgeCount: Returns the count of bidirection...