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Write a program that inserts 25 random integers from 0 to 100 in order in a linked list object. The program should calculate the sum of the elements and the floating-point average of the elements.

Short Answer

Expert verified
Create a linked list, insert random integers, calculate their sum, and compute the average.

Step by step solution

01

Setting up the Linked List

First, create a basic structure for a node of the linked list and the linked list itself in your chosen programming language. This structure will hold the integer values and a reference to the next node. Define a class 'Node' to represent each node and another class 'LinkedList' to handle the linked list operations.
02

Generating Random Integers

Use a random number generator to create a sequence of 25 integers ranging from 0 to 100. Most programming languages provide libraries or functions to generate random numbers, such as Python's `random.randint()` function or Java's `Random` class.
03

Inserting Integers into the Linked List

Iterate over the set of generated random integers and insert each one into the linked list. You can append each number to the end of the list or insert them in order, depending on your preference or requirement.
04

Calculating the Sum of Integers

Traverse the linked list node by node, accumulating the sum of the integer values stored in each node. Initialize a variable `sum` to 0 and add each node's data to this variable as you iterate through the list.
05

Calculating the Average of the Elements

Compute the average by dividing the total sum obtained in the previous step by the number of elements, which is 25. Make sure to use floating-point division to account for fractional results, which is `sum/25.0` in most programming languages.
06

Displaying the Results

Output the contents of the linked list along with the calculated sum and average. Ensure all data is clearly presented, often using a simple print statement in many programming languages.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Random Number Generation
In the context of programming, random number generation is an essential tool allowing developers to create unpredictable sequences of numbers. This functionality is crucial in various applications such as simulations, gaming, and security.

Most programming languages offer built-in libraries or functions that facilitate random number generation.
  • For example, Python uses the `random.randint()` function, which returns a random integer between specified bounds.
  • Java offers the `Random` class, where methods like `nextInt()` generate random numbers.
To generate a random integer within a specific range, you specify the lower and upper bounds in these functions.

In our exercise, we generate 25 random integers between 0 and 100. The randomness in these numbers ensures that each execution of the program could produce a unique sequence, demonstrating the unpredictability essential for tasks like inserting varying elements into a data structure like a linked list.
Data Structures
Data structures are organizational tools used in programming to store and manage data efficiently.

A linked list is a common data structure where each element, called a node, contains data and a reference (or link) to the next node in the sequence.
  • The primary benefit of a linked list is its dynamic nature. It can easily grow and shrink in size, offering flexibility in data management.
  • Unlike arrays, linked lists do not require contiguous memory, which can be helpful in efficient data allocation.
In the exercise, the linked list structure is employed to store and manage 25 random integers.

Each node in the linked list contains an integer and a pointer to the next node, creating a chain-like structure. This setup not only aids in the systematic organization of integers but also in their efficient traversal and manipulation, as demonstrated in the calculation of the sum and average of the elements.
Algorithms
An algorithm is a sequence of steps or rules designed to perform a specific task. They form the backbone of programming, offering solutions to computational problems.

In our exercise, several algorithms are needed.
  • First, insert our random integers into the linked list. This involves checking the current nodes and determining the right place to insert each new integer.
  • Secondly, calculate the sum of integers through a simple traversal algorithm that visits each node, accumulates the integer values, and stores the result. This is often referred to as a linear scan or iteration.
  • Lastly, compute the average by dividing the sum by the number of integers, using floating-point arithmetic for precision.
These algorithms showcase basic principles like iteration, accumulation, and division, all of which are fundamental to the efficient processing of data stored in structures like linked lists.
Integer Operations
Integer operations refer to mathematical computations performed on integer values. In programming, handling these operations efficiently is critical since they form the basis of most calculations.

Common integer operations include addition, subtraction, multiplication, and division, and they are fully supported across all programming languages.
  • In our exercise, the primary integer operation is the summation of the 25 random integers stored in the linked list. This is done using a simple addition during the traversal of nodes.
  • The average calculation is another important operation, where the sum of integers is divided by the count of numbers (25 in this case) to derive the mean.
Introducing floating-point division ensures accuracy by providing correct fractional results, which is critical when calculating averages.

These operations are fundamental in manipulating data, particularly in scenarios involving collections of integers like those stored in linked lists.

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Most popular questions from this chapter

(Binary Tree Delete) In this exercise, we discuss deleting items from binary search trees. The deletion algorithm is not as straightforward as the insertion algorithm. There are three cases that are encountered when deleting an itemthe item is contained in a leaf node (i.e., it has no children), the item is contained in a node that has one child or the item is contained in a node that has two children. If the item to be deleted is contained in a leaf node, the node is deleted and the pointer in the parent node is set to null. If the item to be deleted is contained in a node with one child, the pointer in the parent node is set to point to the child node and the node containing the data item is deleted. This causes the child node to take the place of the deleted node in the tree. The last case is the most difficult. When a node with two children is deleted, another node in the tree must take its place. However, the pointer in the parent node cannot be assigned to point to one of the children of the node to be deleted. In most cases, the resulting binary search tree would not adhere to the following characteristic of binary search trees (with no duplicate values): The values in any left subtree are less than the value in the parent node, and the values in any right subtree are greater than the value in the parent node. Which node is used as a replacement node to maintain this characteristic? Either the node containing the largest value in the tree less than the value in the node being deleted, or the node containing the smallest value in the tree greater than the value in the node being deleted. Let us consider the node with the smaller value. In a binary search tree, the largest value less than a parent's value is located in the left subtree of the parent node and is guaranteed to be contained in the rightmost node of the subtree. This node is located by walking down the left subtree to the right until the pointer to the right child of the current node is null. We are now pointing to the replacement node, which is either a leaf node or a node with one child to its left. If the replacement node is a leaf node, the steps to perform the deletion are as follows: 1\. Store the pointer to the node to be deleted in a temporary pointer variable (this pointer is used to delete the dynamically allocated memory 2\. Set the pointer in the parent of the node being deleted to point to the replacement node. [Page \(1042]\) 3\. Set the pointer in the parent of the replacement node to null. 4\. Set the pointer to the right subtree in the replacement node to point to the right subtree of the node to be deleted. 5\. Delete the node to which the temporary pointer variable points. The deletion steps for a replacement node with a left child are similar to those for a replacement node with no children, but the algorithm also must move the child into the replacement node's position in the tree. If the replacement node is a node with a left child, the steps to perform the deletion are as follows: 1\. Store the pointer to the node to be deleted in a temporary pointer variable. 2\. Set the pointer in the parent of the node being deleted to point to the replacement node. 3\. Set the pointer in the parent of the replacement node to point to the left child of the replacement node. 4\. Set the pointer to the right subtree in the replacement node to point to the right subtree of the node to be deleted. 5\. Delete the node to which the temporary pointer variable points. Write member function deleteNode, which takes as its arguments a pointer to the root node of the tree object and the value to be deleted. The function should locate in the tree the node containing the value to be deleted and use the algorithms discussed here to delete the node. The function should print a message that indicates whether the value is deleted. Modify the program of Figs. 21.2021 .22 to use this function. After deleting an item, call the inorder, preorder and postorder TRaversal functions to confirm that the delete operation was performed correctly.

(Performance of Binary Tree Sorting and Searching) One problem with the binary tree sort is that the order in which the data is inserted affects the shape of the treefor the same collection of data, different orderings can yield binary trees of dramatically different shapes. The performance of the binary tree sorting and searching algorithms is sensitive to the shape of the binary tree. What shape would a binary tree have if its data was inserted in increasing order? in decreasing order? What shape should the tree have to achieve maximal searching performance?

Write a program that uses a stack object to determine if a string is a palindrome (i.e., the string is spelled identically backward and forward). The program should ignore spaces and punctuation.

Stacks are used by compilers to help in the process of evaluating expressions and generating machine language code. In this and the next exercise, we investigate how compilers evaluate arithmetic expressions consisting only of constants, operators and parentheses. Humans generally write expressions like \(3+4\) and 7 / 9 in which the operator \((+\text { or } / \text { here })\) is written between its operandsthis is called infix notation. Computers "prefer" postfix notation in which the operator is written to the right of its two operands. The preceding infix expressions would appear in postfix notation as \(34+\) and \(79 /,\) respectively. To evaluate a complex infix expression, a compiler would first convert the expression to postfix notation and evaluate the postfix version of the expression. Each of these algorithms requires only a single left-to-right pass of the expression. Each algorithm uses a stack object in support of its operation, and in each algorithm the stack is used for a different purpose. In this exercise, you will write a \(\mathrm{C}++\) version of the infix-to- postfix conversion algorithm. In the next exercise, you will write a \(\mathrm{C}++\) version of the postfix expression evaluation algorithm. Later in the chapter, you will discover that code you write in this exercise can help you implement a complete working compiler. Write a program that converts an ordinary infix arithmetic expression (assume a valid expression is entered) with single-digit integers such as \\[ (6+2) * 5-8 / 4 \\] to a postfix expression. The postfix version of the preceding infix expression is \(62+5 * 84 /\) The program should read the expression into character array infix and use modified versions of the stack functions implemented in this chapter to help create the postfix expression in character array postfix. The algorithm for creating a postfix expression is as follows: 1\. Push a left parenthesis ' (' onto the stack. 2\. Append a right parenthesis ' ' ' to the end of infix. \([\text { Page } 1039]\) 3\. While the stack is not empty, read infix from left to right and do the following: If the current character in infix is a digit, copy it to the next element of post \(f\) ix. If the current character in infix is a left parenthesis, push it onto the stack. If the current character in infix is an operator, Pop operators (if there are any) at the top of the stack while they have equal or higher precedence than the current operator, and insert the popped operators in postfix. Push the current character in infix onto the stack. If the current character in infix is a right parenthesis Pop operators from the top of the stack and insert them in postfix until a left parenthesis is at the top of the stack. Pop (and discard) the left parenthesis from the stack. The following arithmetic operations are allowed in an expression: \(+\) addition subtraction \(*\) multiplication / division exponentiation ' modulus [Note: We assume left to right associativity for all operators for the purpose of this exercise.] The stack should be maintained with stack nodes, each containing a data member and a pointer to the next stack node. Some of the functional capabilities you may want to provide are: a. function convertToPostfix that converts the infix expression to postfix notation b. function isoperator that determines whether \(c\) is an operator c. function precedence that determines whether the precedence of operator1 is less than, equal to or greater than the precedence of operator2 (the function returns1, 0 and \(1,\) respectively d. function push that pushes a value onto the stack e. function pop that pops a value off the stack f. function stackTop that returns the top value of the stack without popping the stack g. function isEmpty that determines if the stack is empty h. function printstack that prints the stack

In this chapter, we saw that duplicate elimination is straightforward when creating a binary search tree. Describe how you would perform duplicate elimination using only a one-dimensional array. Compare the performance of array-based duplicate elimination with the performance of binary-searchtree- based duplicate elimination.

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