Traversal example sentences
Related (17): node, pathfinding, graph, maze, network, connectivity, edge, vertex, tree, algorithm, step, search, visit, distance, exploration, iteration, backtracking.
"Traversal" Example Sentences
Common Phases
1. The algorithm uses depth-first traversal to search the graph.
2. The tree traversal process prints every node.
3. The maze traversal algorithm searches for the exit.
4. Breadth-first traversal is useful for finding the shortest path.
5. The graph traversal algorithm considers every possible path.
6. The program uses a stack for depth-first traversal of the tree.
7. I utilized recursive depth-first traversal to solve the puzzle.
8. The procedure for depth-first traversal is fairly straightforward.
9. The hierarchical directory structure permits easy traversal.
10. The API provides functions for traversing the data structure.
11. Traversal of the file system should be done carefully.
12. DFS traversal prints each node only once.
13. The pointer moves along the linked list during its traversal.
14. The graph traversal outputs the vertices in alphabetical order.
15. BFS traversal returns the shortest path from start node to goal.
16. Breadth-first traversal visits nodes level by level.
17. DFS traversal visits nodes by going as deep as possible first.
18. The tree traversal prints each node's value and child nodes.
19. The traversal algorithm marks nodes as visited to avoid cycles.
20. Preorder tree traversal processes the root node first.
21. Inorder tree traversal processes the left subtree, then the root, then the right subtree.
22. Postorder tree traversal processes the left subtree, then the right subtree, then the root node.
23. The recursion for depth-first traversal prints the current node before recursing.
24. I designed a maze traversal function that uses a queue for BFS.
25. The graph is traversed both depth-first and breadth-first.
26. DFS traversal is often faster but uses more memory than BFS.
27. BFS traversal finds shortest paths but can be slow for large graphs.
28. A depth-first traversal encounters the target node sooner.
29. Tree traversal is useful for calculating properties of the tree.
30. Graph traversal is important for searching and pathfinding algorithms.
31. The pointer traverses each list node in order.
32. The file system traversal starts at the root directory.
33. The depth-first traversal algorithm finds a solution path first.
34. Postorder traversal visits child nodes before visiting the parent node.
35. The maze traversal program keeps track of its previous position.
36. I performed a depth-first traversal to count the number of leaves in the tree.
37. Preorder tree traversal visits the root node followed by the left subtree then the right subtree.
38. The nodes are added to a stack during depth-first traversal.
39. The graph's edges specify the allowable traversal between vertices.
40. Breadth-first tree traversal uses a queue to visit nodes level by level.
41. The traversal algorithm color nodes white, gray, and black.
42. I performed an inorder traversal of the binary search tree to print the values in sorted order.
43. The points list defines the traversal path of the robot arm.
44. The pathfinding algorithm performs a breadth-first traversal from the start node.
45. The recursive depth-first traversal function returns when a goal node is found.
46. The directed graph defines the possible state transitions and traversal sequence.
47. Breadth-first search performs a breadth-first traversal from a start node.
48. Depth-first search uses depth-first traversal to explore the state space.
49. The pointer traverses the circular linked list, eventually returning to the head node.
50. Inorder traversal is useful for retrieving sorted data from a binary search tree.
51. The algorithm achieves a more efficient traversal pattern through memoization.
52. The cost of traversal depends on the complexity of the graph or tree.
53. Breadth-first traversal follows links of one level before recursing to the next level.
54. The result set is reordered during the tree traversal process.
55. The state transition graph defines the allowable traversal between states.
56. The depth of recursion depends on the depth-first traversal path chosen.
57. The maze traversal algorithm handles dead-ends by backtracking.
58. The function performs an inorder traversal of the binary tree.
59. The recursive traversal function calls itself until a termination condition is met.
60. The directed graph defines the order in which nodes may be traversed.