This course introduces data structures and algorithms, focusing on practical implementation in Java.

java.tar.gz

Java

Java-1

Data structures and algorithms are essential in computer science since they play a crucial role in efficient information retrieval and processing, dealing with files, storing contacts on phones, social networks and web searches.

In this course, you’ll learn about the array-based implementation of various linear data structures, stack, and queues. You’ll also learn about linked list-based implementation. Next, you’ll explore advanced data structures like skiplists and hashing. You’ll learn how to implement a variety of trees and graphs, and data structures related to bits of an integer. Toward the end of the course, you’ll learn the implementation of structures based on external storage.

After completing this course, you’ll be able to create reusable programs with template-based collections that can efficiently analyze how to optimize the storage and retrieval of very large amounts of data. Overall, this course will enhance your productivity and performance as a software developer.

Data Structures with Generic Types in Java

## Task

Modify the `add(x)` method for `ScapegoatTree` so that it does not waste any time recomputing the sizes of subtrees that have already been computed. This is possible because, by the time the method wants to compute `size(w)`, it has already computed one of `size(w.left)` or `size(w.right)`.

## Solution

We have implemented the code that modifies the `add()` method for`ScapegoatTree`. The `add()` method inserts a new element `x` into the `ScapegoatTree` and rebalances the tree if the depth exceeds a certain threshold.

# Task

Modify the `add(x)` method for `ScapegoatTree` so that it does not waste any time recomputing the sizes of subtrees that have already been computed. This is possible because, by the time the method wants to compute `size(w)`, it has already computed one of `size(w.left)` or `size(w.right)`.

# Solution

We have implemented the code that modifies the `add()` method for`ScapegoatTree`. The `add()` method inserts a new element `x` into the `ScapegoatTree` and rebalances the tree if the depth exceeds a certain threshold.

Review the solution of the modified add() method of the scapegoat tree.

Overview

Array-Based Lists

Linked Lists

Skiplists

Hash Tables

Binary Trees

Random Binary Search Trees

Scapegoat Trees

Red-Black Trees

Heaps

Sorting Algorithms

Graphs

Data Structures for Integers

External Memory Searching

Wrap Up

Solution: Scapegoat Trees

Task

Solution