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Related lectures (30)
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Physics 1: Vectors and Dot Product
Covers the properties of vectors, including commutativity, distributivity, and linearity.
Vector Calculus: Scalars and Vectors
Introduces scalars and vectors, explaining their properties and mathematical operations.
Decomposition of a Vector
Covers the decomposition of a vector in a base and its applications in speed and distance calculations.
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.
Analytical Geometry: Vectors and Operations
Covers the fundamentals of analytical geometry, focusing on vectors and their operations.
Orthogonality and Least Squares Methods
Explores orthogonality, norms, and distances in vector spaces for solving linear systems.
Orthogonality and Least Squares Method
Covers orthogonal vectors, unit vectors, and the Pythagorean theorem in R^m.
Cross Product: Coordinate Calculation
Covers the calculation of the cross product in coordinates using vectors in space.
Cheeger's Inequality
Explores Cheeger's inequality and its implications in graph theory.
Linear Applications: Matrices and Transformations
Covers linear applications, matrices, transformations, and the principle of superposition.
