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Related lectures (27)
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Matlab: Interactive Mode and Project Steps
Introduces Matlab basics, error handling, and billiards project concepts.
Vector Calculus: Scalars and Vectors
Introduces scalars and vectors, explaining their properties and mathematical operations.
Physics 1: Vectors and Dot Product
Covers the properties of vectors, including commutativity, distributivity, and linearity.
Matrix Row and Column Rank: Part 1
Explores the row and column ranks of a matrix in linear algebra, emphasizing their calculation and relationship.
Linear Independence and Bases
Covers linear independence, bases, and coordinate systems with examples and theorems.
Vectors: Fundamentals
Covers the basic concepts related to vectors, including their definition, operations, and properties, as well as applications through examples and the Varignon's theorem.
Linear Equations: Vectors and Matrices
Covers linear equations, vectors, and matrices, exploring their fundamental concepts and applications.
Parts and Vectors in Coordinates
Covers landmarks, coordinate systems, frames, and terminology in coordinates, emphasizing geometric angles and orthogonal vectors.
Linear Dependence Theorems and Proofs
Explores linear dependence theorems and proofs, emphasizing the importance of understanding linear dependence in linear algebra.
Vectors in Space: Properties and Interpretations
Explores properties and interpretations of vectors in space, including mixed product and linear dependence.