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 Phrases
- The algorithm uses depth-first traversal to search the graph.
- The tree traversal process prints every node.
- The maze traversal algorithm searches for the exit.
- Breadth-first traversal is useful for finding the shortest path.
- The graph traversal algorithm considers every possible path.
- The program uses a stack for depth-first traversal of the tree.
- I utilized recursive depth-first traversal to solve the puzzle.
- The procedure for depth-first traversal is fairly straightforward.
- The hierarchical directory structure permits easy traversal.
- The API provides functions for traversing the data structure.
- Traversal of the file system should be done carefully.
- DFS traversal prints each node only once.
- The pointer moves along the linked list during its traversal.
- The graph traversal outputs the vertices in alphabetical order.
- BFS traversal returns the shortest path from start node to goal.
- Breadth-first traversal visits nodes level by level.
- DFS traversal visits nodes by going as deep as possible first.
- The tree traversal prints each node's value and child nodes.
- The traversal algorithm marks nodes as visited to avoid cycles.
- Preorder tree traversal processes the root node first.
- Inorder tree traversal processes the left subtree, then the root, then the right subtree.
- Postorder tree traversal processes the left subtree, then the right subtree, then the root node.
- The recursion for depth-first traversal prints the current node before recursing.
- I designed a maze traversal function that uses a queue for BFS.
- The graph is traversed both depth-first and breadth-first.
- DFS traversal is often faster but uses more memory than BFS.
- BFS traversal finds shortest paths but can be slow for large graphs.
- A depth-first traversal encounters the target node sooner.
- Tree traversal is useful for calculating properties of the tree.
- Graph traversal is important for searching and pathfinding algorithms.
- The pointer traverses each list node in order.
- The file system traversal starts at the root directory.
- The depth-first traversal algorithm finds a solution path first.
- Postorder traversal visits child nodes before visiting the parent node.
- The maze traversal program keeps track of its previous position.
- I performed a depth-first traversal to count the number of leaves in the tree.
- Preorder tree traversal visits the root node followed by the left subtree then the right subtree.
- The nodes are added to a stack during depth-first traversal.
- The graph's edges specify the allowable traversal between vertices.
- Breadth-first tree traversal uses a queue to visit nodes level by level.
- The traversal algorithm color nodes white, gray, and black.
- I performed an inorder traversal of the binary search tree to print the values in sorted order.
- The points list defines the traversal path of the robot arm.
- The pathfinding algorithm performs a breadth-first traversal from the start node.
- The recursive depth-first traversal function returns when a goal node is found.
- The directed graph defines the possible state transitions and traversal sequence.
- Breadth-first search performs a breadth-first traversal from a start node.
- Depth-first search uses depth-first traversal to explore the state space.
- The pointer traverses the circular linked list, eventually returning to the head node.
- Inorder traversal is useful for retrieving sorted data from a binary search tree.
- The algorithm achieves a more efficient traversal pattern through memoization.
- The cost of traversal depends on the complexity of the graph or tree.
- Breadth-first traversal follows links of one level before recursing to the next level.
- The result set is reordered during the tree traversal process.
- The state transition graph defines the allowable traversal between states.
- The depth of recursion depends on the depth-first traversal path chosen.
- The maze traversal algorithm handles dead-ends by backtracking.
- The function performs an inorder traversal of the binary tree.
- The recursive traversal function calls itself until a termination condition is met.
- The directed graph defines the order in which nodes may be traversed.