We may earn an affiliate commission when you visit our partners.

Multiplication

Save
May 1, 2024 Updated June 27, 2025 13 minute read

An Introduction to Multiplication

Multiplication is one of the four basic operations in arithmetic, alongside addition, subtraction, and division. At its most fundamental level, multiplication can be understood as repeated addition. For example, multiplying 4 by 3 is the same as adding 4 to itself three times (4 + 4 + 4). It also represents the concept of scaling, where one number changes the size or quantity of another. This simple operation is a cornerstone of mathematics, forming the foundation for more advanced topics and appearing in countless everyday situations, from calculating the total cost of multiple items at a store to figuring out the area of a room.

Path to Multiplication

Take the first step.
We've curated 23 courses to help you on your path to Multiplication. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Multiplication: by sharing it with your friends and followers:

Reading list

We've selected 27 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Multiplication.
Is designed to help students overcome their fear of multiplication and division, with a focus on understanding the concepts rather than memorizing rules.
A comprehensive graduate-level textbook covering various algebraic structures, including rings and fields, where multiplication fundamental operation with abstract properties. is essential for those seeking a deep theoretical understanding of multiplication within abstract mathematical contexts and standard reference in graduate programs. It delves into the axioms and properties that define multiplication in different systems.
This classic computer science textbook covers various algorithms, including those for multiplication of large integers and matrices. It delves into the computational complexity of multiplication, which contemporary topic in computer science. It must-read for anyone interested in the algorithmic aspects of multiplication. It's a valuable reference tool for professionals and students.
Is part of the popular "For Dummies" series and provides a clear and concise explanation of multiplication and division, with plenty of examples and practice problems.
This volume classic reference for algorithms, including detailed discussions on algorithms for arithmetic operations like multiplication. It provides a deep dive into the efficiency and implementation of multiplication algorithms. It's a foundational text for computer scientists and mathematicians interested in the computational aspects of multiplication. is more valuable as a reference for advanced study.
This graduate-level book by a renowned mathematician covers topics in arithmetic, including modular forms and quadratic forms. While advanced, it demonstrates the deep connections of basic arithmetic operations like multiplication to higher-level mathematical concepts and current research. It classic and highly influential text for advanced students.
This widely-used textbook in computer science covers the design and analysis of algorithms, including algorithms for arithmetic operations like multiplication. It provides a rigorous treatment of the efficiency and complexity of these algorithms. It's a standard textbook for undergraduate and graduate computer science programs. It useful reference tool for understanding the computational aspects.
A comprehensive text on number theory that covers a wide range of topics, including divisibility, prime numbers, and congruences. It provides a thorough theoretical treatment of the properties of integers and their multiplicative relationships. It's a classic reference for students and researchers in number theory.
Offers a theoretical approach to linear algebra, focusing on vector spaces and linear maps. It provides a deep understanding of the properties of linear transformations and their representation through matrix multiplication, which key concept. It's often used in more theoretically oriented undergraduate or introductory graduate linear algebra courses. The focus on the structure of linear operators provides a deeper understanding.
This textbook covers elementary number theory with a focus on applications, including cryptography and computer science. It reinforces the understanding of multiplication, divisibility, and prime numbers in practical contexts. It's a good resource for students looking to see the relevance of number theory to applied fields.
This classic introduction to number theory covers fundamental concepts like prime numbers, divisibility, and congruences with clarity and elegance. It provides a solid theoretical background in the properties of integers related to multiplication and is suitable for advanced undergraduates and graduate students. It is considered a classic in the field.
Offers a more accessible introduction to number theory, making it suitable for undergraduates or even advanced high school students. It explores various concepts related to integers, including prime numbers and divisibility, which are directly linked to multiplication. It's a good resource for gaining a broad understanding in a less formal setting.
Covers mathematical topics essential for computer science, including number theory, probability, and graph theory. It reinforces concepts related to multiplication in the context of algorithms, data structures, and computational complexity. It's a valuable resource for computer science students and professionals.
Offers a solid introduction to number theory, covering topics such as divisibility, congruences, and prime numbers, all of which rely on the concept of multiplication. It's suitable for undergraduate students looking to deepen their understanding of the properties of integers. It provides a good foundation for more advanced topics.
While primarily focused on linear algebra, this book extensively covers matrix multiplication and its applications in various fields. It provides a practical understanding of multiplication beyond scalar arithmetic and widely used textbook in undergraduate science and engineering programs. Understanding matrix multiplication is crucial in many contemporary applications.
Contains 101 practice problems for multiplication and division, with solutions provided.
Takes a mathematical adventure approach to multiplication and division, exploring the history of the operations and their applications in the real world.
Presents fun and engaging techniques for performing mental calculations, including impressive multiplication stunts. It helps build confidence and intuition with numbers and multiplication. It's suitable for a wide audience, from high school students to adults, interested in making math more enjoyable and accessible. It is more valuable as additional reading for developing mental math skills.
This fun and engaging book that introduces mathematical concepts, including sequences and exponents (which involve repeated multiplication), through a dreamlike narrative. It's excellent for sparking interest in mathematics for younger audiences (middle school/early high school) and provides an intuitive understanding of some concepts related to multiplication. It is more valuable as additional reading for generating interest.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser