Algorithms | Fundamental Concepts & Techniques

Jeff Erickson

Comprehensive guide to the fundamental concepts and techniques in the field of algorithms, covering discrete mathematics, data structures, and algorithm analysis.

Technical TutorialsAlgorithmData Structures

Introduction

This textbook, "Algorithms" by Jeff Erickson, is a comprehensive guide to the fundamental concepts and techniques in the field of algorithms. It covers a wide range of topics, including discrete mathematics, proof techniques, iterative programming, abstract data types, data structures, and algorithm analysis.

Highlights

  • Covers the most fundamental course material in algorithms, reflecting the algorithmic content of a required junior-level theory course
  • Assumes prerequisite knowledge in discrete mathematics, proof techniques, iterative programming, fundamental data structures and algorithms
  • Provides a solid foundation for understanding and analyzing algorithms, with a focus on mathematical maturity

Recommendation

This textbook is recommended for students who have a strong background in the prerequisite topics and are looking to deepen their understanding of algorithms and their analysis. It is suitable for a junior-level or higher algorithms course, and will be particularly valuable for those pursuing a career in computer science or related fields.

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

A Field Guide To Genetic Programming

30
Technical TutorialsAlgorithm
Comprehensive guide to genetic programming, covering evolutionary algorithms, computational biology, and advanced programming techniques. Valuable resource for computer scientists, biologists, and researchers.

Algorithms and Data Structures - With Applications to Graphics and Geometry

27
Technical TutorialsAlgorithmData Structures
Explore algorithms, data structures, and their practical applications in graphics and geometry. Suitable for beginners and experienced learners.

Data Structures | Algorithms | Efficient Software Systems

16
Technical TutorialsAlgorithmData Structures
Comprehensive guide to data structures and algorithms, covering arrays, linked lists, stacks, queues, trees, and more. Ideal for students, developers, and professionals seeking to build efficient software systems.

Data Structures (Into Java)

9
Technical TutorialsAlgorithmData StructuresJava
Comprehensive guide to understanding and implementing data structures using Java, covering arrays, linked lists, stacks, queues, trees, and more.

Data Structures and Algorithm Analysis in C++

7
Technical TutorialsAlgorithmC++
Comprehensive guide to data structures, algorithms, and problem-solving using C++. Suitable for students and professionals interested in algorithmic problem-solving.

Elementary Algorithms | Fundamental Algorithms and Data Structures

27
Technical TutorialsAlgorithmData Structures
Comprehensive introduction to fundamental algorithms and data structures, including sorting, searching, and algorithm design. Suitable for beginners and professionals.

Essential Algorithms | Comprehensive Guide to Algorithms and Data Structures

25
Technical TutorialsAlgorithmData Structures
Enhance your programming and problem-solving skills with Essential Algorithms, a comprehensive guide covering essential concepts for beginners and advanced programmers.

Learning Algorithm | Algorithms, Data Structures, Problem-Solving

26
Technical TutorialsAlgorithmData Structures
Explore a wide range of algorithms, from fundamental data structures to advanced techniques like dynamic programming and graph algorithms. Gain practical knowledge for software engineering and problem-solving.

Linked List Basics | Data Structures Fundamentals

1
Technical TutorialsAlgorithmData Structures
Comprehensive introduction to the basics of linked lists, covering fundamental concepts, structures, and operations in data structures.