
Matrices | Algebra (all content) | Math | Khan Academy
This topic covers: - Adding & subtracting matrices - Multiplying matrices by scalars - Multiplying matrices - Representing & solving linear systems with matrices - Matrix inverses - Matrix …
Intro to matrices (article) - Khan Academy
Matrix is an arrangement of numbers into rows and columns. Make your first introduction with matrices and learn about their dimensions and elements.
Intro to matrices (video) | Matrices | Khan Academy
And as we develop an algebra around matrices, and when we talk about developing an algebra around matrices, we're going to talk about operations that we're going to perform on matrices …
Matrices | Precalculus | Math | Khan Academy
Learn what matrices are and about their various uses: solving systems of equations, transforming shapes and vectors, and representing real-world situations. Learn how to add, subtract, and …
Linear Algebra | Khan Academy
Linear algebra 3 units · 4 skills Unit 1 Vectors and spaces Unit 2 Matrix transformations Unit 3 Alternate coordinate systems (bases)
Matrix transformations | Linear algebra | Math | Khan Academy
Matrices can be used to perform a wide variety of transformations on data, which makes them powerful tools in many real-world applications. For example, matrices are often used in …
Intro to matrix multiplication (video) | Khan Academy
Matrix multiplication is a way of composing linear transformations, and the convention for matrix multiplication is designed to make this composition of linear transformations work correctly.
Vectors and spaces | Linear algebra | Math | Khan Academy
Vectors are an important concept, not just in math, but in physics, engineering, and computer graphics, so you're likely to see them again in other subjects.
Khan Academy | Khan Academy
Contact Help center Support community Share your story Press Download our apps Courses Virginia Math Math: Pre-K - 8th grade Math: Get ready courses Math: high school & college …
Intro to matrix inverses (video) | Matrices | Khan Academy
It's important when we're doing matrix multiplication, to confirm that it matters what direction you do the multiplication in. But anyway, and this works both ways only if we're dealing with square …