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i want the program in java

i want the program in java

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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i want the program in java 

**Implement a Stack Class Using a Linked List** i) Insert at least 10 elements into the stack. ii) Show push and pop operations on the stack. iii) Print the order of elements in the stack. iv) Print first and last elements of the stack.
Transcribed Image Text:**Implement a Stack Class Using a Linked List** i) Insert at least 10 elements into the stack. ii) Show push and pop operations on the stack. iii) Print the order of elements in the stack. iv) Print first and last elements of the stack.
### Write a Program to Find the Maximum Depth or Height of a Tree in Java This diagram represents a tree structure with nodes. Each node contains a number, and arrows show the parent-child relationships between the nodes, forming a hierarchical structure. - **Root Node:** The tree starts at the node with the value `2`, which is the root of the tree. - **Level 1:** The root node has two child nodes, `7` and `5`. - **Level 2:** - The node `7` has two child nodes: `2` and `10`. - The node `5` has two child nodes: `6` and `9`. - **Level 3:** - The node `10` has one child node: `5`. - The node `6` has one child node: `11`. - The node `9` has one child node: `4`. The maximum depth or height of this tree can be observed as 4, which is the longest path from the root node `2` to the leaf nodes `5` or `11`. This path through the nodes `2 -> 7 -> 10 -> 5` or `2 -> 5 -> 6 -> 11` illustrates the height of the tree. In programming terms, you would calculate the maximum depth by recursively determining the depth of each subtree and selecting the largest value.
Transcribed Image Text:### Write a Program to Find the Maximum Depth or Height of a Tree in Java This diagram represents a tree structure with nodes. Each node contains a number, and arrows show the parent-child relationships between the nodes, forming a hierarchical structure. - **Root Node:** The tree starts at the node with the value `2`, which is the root of the tree. - **Level 1:** The root node has two child nodes, `7` and `5`. - **Level 2:** - The node `7` has two child nodes: `2` and `10`. - The node `5` has two child nodes: `6` and `9`. - **Level 3:** - The node `10` has one child node: `5`. - The node `6` has one child node: `11`. - The node `9` has one child node: `4`. The maximum depth or height of this tree can be observed as 4, which is the longest path from the root node `2` to the leaf nodes `5` or `11`. This path through the nodes `2 -> 7 -> 10 -> 5` or `2 -> 5 -> 6 -> 11` illustrates the height of the tree. In programming terms, you would calculate the maximum depth by recursively determining the depth of each subtree and selecting the largest value.
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