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LinkedIn Learning

Java Algorithms

via LinkedIn Learning

Overview

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Learn how to efficiently optimize and create algorithms in Java.

Syllabus

Introduction
  • Improve your Java applications with effective algorithms
  • Introducing CoderPad challenges
  • What is an algorithm?
  • How to optimize an algorithm
  • Optimize an algorithm in Java
  • How to describe the time complexity of an algorithm
1. String Algorithms
  • Validate Strings in Java: All-or-nothing properties
  • Validate strings in Java: Specific properties
  • Normalize strings in Java
  • Basic parsing and searching strings in Java
  • Apply custom parsing to search algorithms
  • Create algorithm-driven strings in Java
  • Leverage built-in tools to generate custom data
  • Solution: Reverse each word
2. Array Algorithms
  • Linear search arrays in Java
  • Linear search arrays with Java streams
  • Binary search arrays in Java
  • Aggregate and filter arrays in Java
  • Reverse an array in Java
  • Solution: Rotate an array
3. Linked List Algorithms
  • What is a linked list?
  • Using the built-in linked list data structure in Java
  • Create a custom data structure for linked list algorithms
  • Linked list algorithms: Delete back half of a linked list
  • Solution: Sum contents of a linked list
4. Queue and Stack Algorithms
  • What is a queue?
  • Standard queue operations in Java
  • Queue algorithms: Generate binary numbers
  • What is a stack?
  • Basic stack operations in Java
  • Stack algorithms: Theorizing an algorithm
  • Stack algorithms: Next greater element
  • Stack algorithms: Matching parentheses
  • Solution: Evaluate reverse polish notation
5. Algorithms for Hash-Based Structures
  • Hash-based structures in Java
  • HashMap and HashSet operations in Java
  • Leverage the HashSet type in Java algorithms
  • Use the HashMap type in Java algorithms
  • Solution: Detect a cylic linkedlist
6. Tree Algorithms
  • What is a tree?
  • Binary trees in Java
  • What are tree traversals?
  • Implement tree traversals in Java
  • Solution: Find height of binary tree
Conclusion
  • Continue optimizing algorithms

Taught by

Kathryn Hodge

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