Skip to main content
Monte Cristo Logo
Monte Cristo

Numerical Analysis

Study sheet

Numerical analysis is the study of algorithms that use numerical approximation for mathematical analysis problems. Learners will understand how to design, analyze, and implement algorithms to solve continuous mathematical equations computationally.

10 resources

Level
Type

🎓Courses(3)

course👁️ 0

Introduction to Numerical Analysis

Learn numerical methods for solving mathematical problems with this Introduction to Numerical Analysis course by Pereira & Silvester!

advanced🇬🇧
course👁️ 0

Computational Science and Engineering I

Explore systems engineering through computational methods with Prof. Strang's MIT course. Learn valuable problem-solving techniques!

intermediate🇬🇧
course👁️ 0

Numerical Methods for Engineers

This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems, and access to MATLAB online and the MATLAB grader is given to all students who enroll. We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. They should have a working knowledge of a programming language, and be willing to learn MATLAB. The course contains 74 short lecture videos and MATLAB demonstrations. After each lecture or demonstration, there are problems to solve or programs to write. The course is organized into six weeks, and at the end of each week, there is an assessed quiz and a longer programming project. Download the lecture notes from the link https://www.math.hkust.edu.hk/~machas/numerical-methods-for-engineers.pdf And watch the promotional video from the link https://youtu.be/qFJGMBDfFMY

beginner🇬🇧

📚Books(2)

book👁️ 0

Numerical Linear Algebra

Numerical Linear Algebra - A book resource

intermediate🇬🇧
book👁️ 0

Matrix Computations

Matrix Computations - A book resource

intermediate🇬🇧

🌐Websites(5)

scroll for more →
website👁️ 0

Numerical Recipes

Online companion to the book with code

beginner🇬🇧
website👁️ 0

Nick Higham's Blog

Practitioner insights on numerical analysis

beginner🇬🇧
website👁️ 0

MIT Numerical Computation Guide

Free online textbook and resources

beginner🇬🇧
website👁️ 0

math.ucla.edu

The official UCLA Department of Mathematics site provides information on degree programs, courses, and faculty research (including numerical analysis), along with department news, seminars, events, and resources.

intermediate🇬🇧
website👁️ 0

scicomp.stackexchange.com

SciComp Stack Exchange is a Stack Exchange Q&A site for scientific computing, covering numerical analysis, numerical linear algebra, simulations, and related computational methods. It contains questions, answers, and code examples spanning theory, algorithms, and practical implementation in languages such as Python, MATLAB, and C++.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Numerical Analysis?

Dantes has curated 10 resources for Numerical Analysis, including 2 books, 3 courses, 5 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Numerical Analysis hard to learn?

Numerical Analysis is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Numerical Analysis learning resources are available on Dantes?

For Numerical Analysis, Dantes has curated 2 books, 3 courses, 5 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Numerical Analysis resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Numerical Analysis, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

Go deeper

Test your understanding of Numerical Analysis

Explain it out loud. An AI tutor listens and asks questions that expose gaps you didn't know you had.