
Professor Strang presents a fresh approach to linear algebra, focusing on matrices. This concise series covers key concepts like column space, orthogonality, eigenvalues, and solving linear systems.

Comprehensive exploration of tensor calculus, covering matrices, curvilinear coordinates, Einstein notation, and tensor operations, with practical applications and in-depth mathematical analysis.

Linear Algebra is a basic course for students intended to go for Engineering studies and higher studies in Mathematics. We will cover the basic tools needed in these branches.

The main purpose of this course is the study of linear operators on finite dimensional vector spaces. The idea is to emphasize the simple geometric notions common to many parts of mathematics and its applications.

Learn MATLAB basics for computer vision: variables, vectors, matrices, image operations, filters, and more. Practical tutorial for beginners and intermediate users.

Explora transformaciones lineales, independencia lineal, teoremas clave y aplicaciones prácticas en álgebra lineal.

Explore advanced matrix concepts including Kronecker product, spectral decomposition, singular value decomposition, and projection matrices, with applications in statistics and linear algebra.

Comprehensive exploration of matrices and determinants for 12th grade mathematics, covering key concepts, operations, properties, and problem-solving techniques.

Aprende trucos y atajos matemáticos para resolver rápidamente problemas de cálculo, álgebra, geometría y más. Domina técnicas para exámenes competitivos.

Comprehensive NDA math preparation covering key topics with tricks, formulas, and mock tests. Includes handwritten notes, past questions, and expert guidance for exam success.

Comprehensive revision for CBSE/ISC 12th Math, covering key topics with one-shot videos, handwritten notes, past questions, and exam strategies to help students score high.

Comprehensive video series covering key Class 12 Maths topics, including integration, vectors, matrices, and trigonometry. Designed for CBSE and JEE exam preparation with clear explanations.

Comprehensive introduction to NumPy for data science, covering basics, indexing, array operations, matrices, reshaping, mathematics, linear algebra, statistics, and file handling.

Explore matrix operations and applications, from solving systems of equations to matrix multiplication and division, using a TI-84+ calculator.

Comprehensive exploration of linear algebra concepts, from basic operations to advanced topics, with practical applications using Julia and Python programming languages.

Comprehensive exploration of multivariable calculus, covering limits, partial derivatives, chain rule, directional derivatives, and optimization techniques for functions of several variables.

Accelerated precalculus covering advanced topics like trigonometry, matrices, vectors, and conic sections. Ideal for students seeking a comprehensive and fast-paced mathematical foundation.

Comprehensive introduction to matrices, vector operations, and solving systems of equations, covering fundamental concepts and techniques in linear algebra.

Comprehensive screencasts on advanced mathematical concepts, including equations, matrices, and regression analysis, with practical applications using Excel and POLYMATH software.

Explore matrices, determinants, and their applications in solving systems of equations, including Cramer's rule, for Ethiopian Grade 11 mathematics.

Comprehensive guide to Python arrays, functions, and modules. Learn array manipulation, function types, recursion, lambda expressions, and module creation for efficient programming.