Gain insights into implementing array-based and linked list data structures, explore advanced structures like skiplists, hashing, and graphs, and learn reusable, template-based collections for efficient data analysis.

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

The `find(x)` method in a `Skiplist` sometimes performs redundant comparisons; these occur when `x` is compared to the same value more than once. They can occur when, for some node, `u`, `u.next[r] = u.next[r − 1]`. Modify the `find(x)` method so that these redundant comparisons can be avoided.


**Sample input**

The sample input will be as follows:

```text
The first 25 values in a skiplist will be using this formula: i % 100 + 900
The next 50 values in a skiplist will be using this formula: i % 50
The next 25 values in a skiplist will be using this formula: i % 20
```

**Expected output**

The expected output will be as follows:
```text
Adding 1000 elements
Searching
Found: 10, null, null
```

# Task

The `find(x)` method in a `Skiplist` sometimes performs redundant comparisons; these occur when `x` is compared to the same value more than once. They can occur when, for some node, `u`, `u.next[r] = u.next[r − 1]`. Modify the `find(x)` method so that these redundant comparisons can be avoided.


**Sample input**

The sample input will be as follows:

```text
The first 25 values in a skiplist will be using this formula: i % 100 + 900
The next 50 values in a skiplist will be using this formula: i % 50
The next 25 values in a skiplist will be using this formula: i % 20
```

**Expected output**

The expected output will be as follows:
```text
Adding 1000 elements
Searching
Found: 10, null, null
```

Solve a task to modify the find() method in a skiplist.

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

Exercise: Skiplists

Task