Question

Fill in the blanks in each of the following statements: a) A self- ______ class is used to form dynamic data structures that can grow and shrink at execution time. b) A(n)______ is a constrained version of a linked list in which nodes can be inserted and deleted only from the start of the list. c) A method that does not alter a linked list, but simply looks at it to determine whether it is empty, is referred to as a(n)______ method. d) A queue is referred to as a(n) ______ data structure because the first nodes inserted are the first ones removed. e) The reference to the next node in a linked list is referred to as a(n)_______ . f) Automatically reclaiming dynamically allocated memory in Java is called _______. g) A(n)_______ is a constrained version of a linked list in which nodes can be inserted only at the end of the list and deleted only from the start of the list. h) A(n)______is a nonlinear, two-dimensional data structure that contains nodes with two or more links. i) A stack is referred to as a(n)______ data structure because the last node inserted is the first node removed. j) The nodes of a(n)______ tree contain two link members. k) The first node of a tree is the______ node. l) Each link in a tree node refers to a(n)______ or______ of that node. m) A tree node that has no children is called a(n)______ node. n) The three traversal algorithms we mentioned in the text for binary search trees are ______, and______. o) Assuming that myArray contains references to Double objects________ occurs when the statement "double number = myArray[ 0 ];" executes. p) Assuming that myArray contains references to Double objects_______, occurs when the statement "myArray[ 0 ] = 1.25;" executes.

Short answer

The completed statements involve terms like 'referential', 'stack', 'peek', etc., relevant to data structure concepts like classes, queues, stacks, trees, and memory management.

Step-by-step solution

Fill in the Blank for a

Fill in 'referential' to complete the sentence: 'A self-referential class is used to form dynamic data structures that can grow and shrink at execution time.'

Fill in the Blank for b

Fill in 'stack' to complete the sentence: 'A(n) stack is a constrained version of a linked list in which nodes can be inserted and deleted only from the start of the list.'

Fill in the Blank for c

Fill in 'peek' to complete the sentence: 'A method that does not alter a linked list, but simply looks at it to determine whether it is empty, is referred to as a(n) peek method.'

Fill in the Blank for d

Fill in 'FIFO (First-In-First-Out)' to complete the sentence: 'A queue is referred to as a(n) FIFO data structure because the first nodes inserted are the first ones removed.'

Fill in the Blank for e

Fill in 'link' to complete the sentence: 'The reference to the next node in a linked list is referred to as a(n) link.'

Fill in the Blank for f

Fill in 'garbage collection' to complete the sentence: 'Automatically reclaiming dynamically allocated memory in Java is called garbage collection.'

Fill in the Blank for g

Fill in 'queue' to complete the sentence: 'A(n) queue is a constrained version of a linked list in which nodes can be inserted only at the end of the list and deleted only from the start of the list.'

Fill in the Blank for h

Fill in 'tree' to complete the sentence: 'A(n) tree is a nonlinear, two-dimensional data structure that contains nodes with two or more links.'

Fill in the Blank for i

Fill in 'LIFO (Last-In-First-Out)' to complete the sentence: 'A stack is referred to as a(n) LIFO data structure because the last node inserted is the first node removed.'

Fill in the Blank for j

Fill in 'binary' to complete the sentence: 'The nodes of a(n) binary tree contain two link members.'

Fill in the Blank for k

Fill in 'root' to complete the sentence: 'The first node of a tree is the root node.'

Fill in the Blank for l

Fill in 'child or subtree' to complete the sentence: 'Each link in a tree node refers to a(n) child or subtree of that node.'

Fill in the Blank for m

Fill in 'leaf' to complete the sentence: 'A tree node that has no children is called a(n) leaf node.'

Fill in the Blank for n

Fill in 'inorder, preorder, postorder' to complete the sentence: 'The three traversal algorithms we mentioned in the text for binary search trees are inorder, preorder, and postorder.'

Fill in the Blank for o

Fill in 'unboxing' to complete the sentence: 'Assuming that myArray contains references to Double objects unboxing occurs when the statement "double number = myArray[0];" executes.'

Fill in the Blank for p

Fill in 'autoboxing' to complete the sentence: 'Assuming that myArray contains references to Double objects autoboxing occurs when the statement "myArray[0]=1.25;" executes.'

Key concepts

Java Programming

Java is a popular programming language known for its portability, efficiency, and flexibility in creating robust applications. One of Java's core strengths is its ability to manage memory efficiently, which is crucial for applications that need to scale and remain responsive. In Java, memory management is largely automated, which helps developers focus more on logic than on resource handling details. This automation is achieved through a concept called garbage collection, which we'll cover later. Java's structure lends itself well to various programming concepts, including data structures like linked lists and binary trees, making it a versatile choice for implementing complex data-driven applications.

Linked Lists

A linked list is a dynamic data structure, meaning it can grow or shrink during program execution. It consists of nodes, where each node contains data and a reference (or link) to the next node in the sequence. This structure allows for efficient insertion and deletion operations, which can be done by merely changing the links between nodes. There are various types of linked lists, including: - **Singly Linked List**: Each node points to the next node and the list is traversed in a single direction. - **Doubly Linked List**: Nodes contain two links, one pointing to the next node and another to the previous node, allowing bidirectional traversal. - **Circular Linked List**: Similar to a singly linked list, but the last node points back to the first node, creating a circular connection. Linked lists are fundamental for implementing other complex data structures like stacks and queues.

Binary Trees

Binary trees are hierarchical data structures used extensively in computer science for searching and sorting. They consist of nodes, each having at most two children, referred to as the left child and the right child. The topmost node is called the root, and nodes without children are called leaves. Binary trees facilitate efficient data management for operations such as searching, insertion, and deletion.

Types of Binary Trees

- **Full Binary Tree**: Every node has either 0 or 2 children. - **Complete Binary Tree**: All levels are fully filled except possibly the last, which is filled from the left. - **Binary Search Tree (BST)**: For every node, all nodes in the left subtree have lesser values and all nodes in the right subtree have greater values. Binary trees optimize data operations and allow traversal methods such as Inorder, Preorder, and Postorder to efficiently process nodes and retrieve information.

Memory Management

Memory management is an essential aspect of Java programming, ensuring efficient resource usage while developing applications. Java handles memory through its automatic garbage collection process, which reclaims memory that is no longer in use and is occupied by objects that are no longer reachable. This helps in avoiding memory leaks, which can impair application performance over time.

Garbage Collection

In Java, garbage collection occurs when the system determines that an object cannot be referenced elsewhere in the code. The garbage collector runs periodically, identifying and freeing up memory used by these inaccessible objects. This automatic process relieves programmers of manual memory management tasks, reducing potential errors and improving program reliability. Through efficient memory management techniques, Java ensures the robustness and stability of long-running applications, even as they handle complex operations and large datasets.