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Related lectures (32)
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Spectral Theorem for Operators
Explores the spectral theorem for operators in a Hilbert space.
Algebraic Operations and Parity Functions
Covers algebraic operations and parity functions, emphasizing even and odd functions in a symmetric domain.
Machine Learning at the Atomic Scale
Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.
Tensor Products of Modules
Covers tensor algebras, symmetric and exterior algebras, and tensor products of modules.
Orbit-Stabilizer Theorem: Conjugacy Classes and Direct Products
Covers the Orbit-Stabilizer theorem, conjugacy classes, and direct products in finite groups.
The Hessian and Newton's method
Covers the Hessian and Newton's method for optimization using iterative processes.
Differentiable Ranking and Sorting
Explores differentiable ranking and sorting techniques for machine learning applications.
Compositions and adjoints of unbounded operators
Covers the fundamental concepts of unbounded operators and their adjoints, exploring auto-adjoint and normal operators.
Complex Analysis: Simply Connected Domains
Explores simply connected domains in complex analysis, including holomorphic functions, Cauchy's integral formula, and Taylor series.
Symmetric Group and Alternating Group
Explores the Symmetric group, cycle notation, multiplication, the sign of a permutation, and the Alternating group.
Symmetric Linear Operators
Explores symmetric linear operators, eigenvalues, and eigenvectors in functional analysis.
Finite Fields and Group Theory
Explores solutions of the 2018 exam, finite fields, group theory, congruences, and polynomial irreducibility in Q[X].
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