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one node
Since a binary search tree is ordered to start with, to find the largest node simply traverse the tree from the root, choosing only the right node (assuming right is greater and left is less) until you reach a node with no right node. You will then be at the largest node.for (node=root; node!= NULL&&node->right != NULL; node=node->right);This loop will do this. There is no body because all the work is done in the control expressions.
In programming, a parent node is any node that holds some reference to a child node. The child node may itself be a parent node. A classic example of parent/child node usage is the binary tree, where every node in the tree may hold a reference to up to 2 children. Nodes that have no children are known as leaf nodes.
level of a node in any binary tree can be calculated by summing up the number of nodes traversed from the root node of the tree to the node whose level has to be calculated!!!! dats it!! if count is the no. of elements passed, then floor(log2(count-1)) is the level
_node* search (_node* head, _key key) { _node* node; for (node=head; node != NULL;;) { if (key == node->key) return node; else if (key < node.>key) node = node->left; else node = node->right; } return node; }
Short answer: a circle represents a "chance node," meaning a chance to which an Expected Monetary Value (EMV) may be assigned to calculate the most likely pay-off. Explanation: according to the PMBOK Guide, 4th Ed. (pgs. 298-299), the inputs to this node are scenario probability and the EMV (expected monetary value) assigned to that chance node, from the decision node (denoted as a square on a decision tree). A chance node leads to a "net path value," otherwise known as a computed value or solution set (represented by a triangle on a decision tree). A decision tree of this type is one of the tools used to determine quantitative risk analysis used to reach a computed optimal solution using probability distributions as a basis.
A binary tree is a type of tree data structure in which each node has at most two children. To convert a tree to a binary tree, we can follow these steps: Choose a root node for the binary tree. This will be the node at the top of the tree, and all other nodes will be connected to it. For each child node of the root node, add it as a left or right child of the root node, depending on its position relative to the root node. For each child node of the root node, repeat step 2 for its child nodes, adding them as left or right children of the appropriate parent node.
one node
The node of the tree was the first to turn yellow
Since a binary search tree is ordered to start with, to find the largest node simply traverse the tree from the root, choosing only the right node (assuming right is greater and left is less) until you reach a node with no right node. You will then be at the largest node.for (node=root; node!= NULL&&node->right != NULL; node=node->right);This loop will do this. There is no body because all the work is done in the control expressions.
If every non-terminal node (any node except root node whose degree is not zero) in a binary tree consists of non-empty left and right subtree, then such a tree is called strictly binary tree.
In programming, a parent node is any node that holds some reference to a child node. The child node may itself be a parent node. A classic example of parent/child node usage is the binary tree, where every node in the tree may hold a reference to up to 2 children. Nodes that have no children are known as leaf nodes.
level of a node in any binary tree can be calculated by summing up the number of nodes traversed from the root node of the tree to the node whose level has to be calculated!!!! dats it!! if count is the no. of elements passed, then floor(log2(count-1)) is the level
Sibling.
The process of converting the general tree to a binary tree is as follows: * use the root of the general tree as the root of the binary tree * determine the first child of the root. This is the leftmost node in the general tree at the next level * insert this node. The child reference of the parent node refers to this node * continue finding the first child of each parent node and insert it below the parent node with the child reference of the parent to this node. * when no more first children exist in the path just used, move back to the parent of the last node entered and repeat the above process. In other words, determine the first sibling of the last node entered. * complete the tree for all nodes. In order to locate where the node fits you must search for the first child at that level and then follow the sibling references to a nil where the next sibling can be inserted. The children of any sibling node can be inserted by locating the parent and then inserting the first child. Then the above process is repeated.
A null tree.
_node* search (_node* head, _key key) { _node* node; for (node=head; node != NULL;;) { if (key == node->key) return node; else if (key < node.>key) node = node->left; else node = node->right; } return node; }