Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Orthogonality: Norm, Scalar Product, Perpendicularity
Graph Chatbot
Related lectures (28)
Previous
Page 2 of 3
Next
Orthogonal Bases and Projection
Introduces orthogonal bases, projection onto subspaces, and the Gram-Schmidt process in linear algebra.
Orthogonality and Subspace Relations
Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.
Physics 1: Vectors and Dot Product
Covers the properties of vectors, including commutativity, distributivity, and linearity.
Orthogonality and Subspaces
Explores orthogonality, vector norms, and subspaces in Euclidean space, including determining orthogonal complements and properties of subspaces and matrices.
Matrices and Orthogonal Transformations
Explores orthogonal matrices and transformations, emphasizing preservation of norms and angles.
Vectors: Coordinate Calculations
Covers calculations in coordinates for vectors, including bases, scalar product, and determinants, with geometric interpretations and examples.
Scalar Product: Geometric Properties
Covers the definition and properties of the scalar product, including geometric interpretations and algebraic properties.
Orthogonality and Least Squares Method
Introduces orthogonal vectors, scalar product, Euclidean norm, Pythagorean theorem, and unit vectors.
Mechanics: Introduction and Calculus
Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.
Orthogonal Projection in Linear Algebra
Explains orthogonal projection in linear algebra, focusing on transforming non-orthogonal bases into orthogonal ones.
