YEAR / SEM : II/ III
... 14. Define binary search tree ADT . A binary search tree is a tree in which for every node X, the values of all the keys in its left sub tree are smaller than the key value in X and the values of all the keys in its right sub tree are larger than the key value in X. 15. How deletion is performed in ...
... 14. Define binary search tree ADT . A binary search tree is a tree in which for every node X, the values of all the keys in its left sub tree are smaller than the key value in X and the values of all the keys in its right sub tree are larger than the key value in X. 15. How deletion is performed in ...
Sample Final
... Define a function height that takes the address of a node in a binary tree and returns the height of the node in that tree. Recall: The height of a node in a tree is the length of the longest path from the node to a leaf. The height of a node without children is 0, and for this function, if the user ...
... Define a function height that takes the address of a node in a binary tree and returns the height of the node in that tree. Recall: The height of a node in a tree is the length of the longest path from the node to a leaf. The height of a node without children is 0, and for this function, if the user ...
Trees
... Its root node has two subtrees, TL and TR, such that TL and TR are binary trees (TL = left subtree; TR = right subtree) ...
... Its root node has two subtrees, TL and TR, such that TL and TR are binary trees (TL = left subtree; TR = right subtree) ...
Binary Search Tree - Personal Web Pages
... ● Here’s another function that does the same: TreeSearch(x, k) while (x != NULL and if (k < key[x]) x = left[x]; else x = right[x]; return x; ...
... ● Here’s another function that does the same: TreeSearch(x, k) while (x != NULL and if (k < key[x]) x = left[x]; else x = right[x]; return x; ...
CSE 326: Data Structures Lecture #7 Branching Out
... Great if many others on the path are accessed ...
... Great if many others on the path are accessed ...
presentation source
... Here’s another function that does the same: TreeSearch(x, k) while (x != NULL and if (k < key[x]) x = left[x]; else x = right[x]; return x; ...
... Here’s another function that does the same: TreeSearch(x, k) while (x != NULL and if (k < key[x]) x = left[x]; else x = right[x]; return x; ...
Basic Element of Data Structures like linked list, stack and queue
... • Complete graph: a graph in which every vertex is directly connected to every other ...
... • Complete graph: a graph in which every vertex is directly connected to every other ...
Indexing Structures for Files and Physical Database Design
... The structure of the leaf nodes of a B+ tree of order p is: • 1. Each leaf node is of the form <,,….,< ….,,Pnext>
where q<=p, each Pri is a data pointer and Pnext points to the next leaf node
of the B+ tree.
• 2. Within each leaf node, K1<= K2<=Kq‐1 for q<=p
• 3. Each ...
... The structure of the leaf nodes of a B+ tree of order p is: • 1. Each leaf node is of the form <
Data Structures
... of list. Much slower than ArrayList for access by position and iterating over. Uses a hash table. Requires that stored objects override hashCode() and equals(). Uses a doubly linked list as well as a hash table. This allows elements to be iterated over in insertion order rather than unpredictable or ...
... of list. Much slower than ArrayList for access by position and iterating over. Uses a hash table. Requires that stored objects override hashCode() and equals(). Uses a doubly linked list as well as a hash table. This allows elements to be iterated over in insertion order rather than unpredictable or ...
here
... – Topological order (for DAG) • What is a topological order (definitions of predecessor, successor, partial order) • Algorithm for topological sort ...
... – Topological order (for DAG) • What is a topological order (definitions of predecessor, successor, partial order) • Algorithm for topological sort ...
Binary tree
... Recursion is implemented by using a stack. We can traverse non-recursively by maintaining the stack ourselves (emulate stack of activation records). Is a non-recursive approach faster than recursive approach? Possibly:we can place only the essentials, while the compiler places an entire activa ...
... Recursion is implemented by using a stack. We can traverse non-recursively by maintaining the stack ourselves (emulate stack of activation records). Is a non-recursive approach faster than recursive approach? Possibly:we can place only the essentials, while the compiler places an entire activa ...
Complete Binary Trees
... By the way, there is also an interesting story about Idaho. Apparently congress decreed that the border between Idaho and Montana was to be the continental divide. So the surveyers started at Yellowstone Park, mapping out the border, but at “Lost Trail Pass” they made a mistake and took a false divi ...
... By the way, there is also an interesting story about Idaho. Apparently congress decreed that the border between Idaho and Montana was to be the continental divide. So the surveyers started at Yellowstone Park, mapping out the border, but at “Lost Trail Pass” they made a mistake and took a false divi ...
CSE 326: Data Structures Lecture #7 Branching Out
... • Do a find, remembering nodes where we go down • Put the node at the spot where the find ends • Point all the nodes where we went down (up to the new node’s height) at the new node • Point the new node’s links where those redirected pointers were pointing ...
... • Do a find, remembering nodes where we go down • Put the node at the spot where the find ends • Point all the nodes where we went down (up to the new node’s height) at the new node • Point the new node’s links where those redirected pointers were pointing ...
K - CS1001.py
... such as AVL trees, and Red and Black trees, that insure that the tree remains balanced, by performing balancing operations each time an element is inserted (or deleted). This will also be taught in the Data Structures course. ...
... such as AVL trees, and Red and Black trees, that insure that the tree remains balanced, by performing balancing operations each time an element is inserted (or deleted). This will also be taught in the Data Structures course. ...
ppt
... Representing a Heap For a node at position i, its left child is at position 2i+1 and its right child is at position 2i+2, and its parent is (i-1)/2. For example, the node for element 39 is at position 4, so its left child (element 14) is at 9 (2*4+1), its right child (element 33) is at 10 (2*4+2), ...
... Representing a Heap For a node at position i, its left child is at position 2i+1 and its right child is at position 2i+2, and its parent is (i-1)/2. For example, the node for element 39 is at position 4, so its left child (element 14) is at 9 (2*4+1), its right child (element 33) is at 10 (2*4+2), ...
Binary search tree
In computer science, binary search trees (BST), sometimes called ordered or sorted binary trees, are a particular type of containers: data structures that store ""items"" (such as numbers, names and etc.) in memory. They allow fast lookup, addition and removal of items, and can be used to implement either dynamic sets of items, or lookup tables that allow finding an item by its key (e.g., finding the phone number of a person by name).Binary search trees keep their keys in sorted order, so that lookup and other operations can use the principle of binary search: when looking for a key in a tree (or a place to insert a new key), they traverse the tree from root to leaf, making comparisons to keys stored in the nodes of the tree and deciding, based on the comparison, to continue searching in the left or right subtrees. On average, this means that each comparison allows the operations to skip about half of the tree, so that each lookup, insertion or deletion takes time proportional to the logarithm of the number of items stored in the tree. This is much better than the linear time required to find items by key in an (unsorted) array, but slower than the corresponding operations on hash tables.They are a special case of the more general B-tree with order equal to two.