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Related lectures (37)
Quantum Eigenfunctions
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Covers quantum eigenfunctions and the importance of A and B commuting for the same set of eigenfunctions.
Properties of Real Numbers: Bounds, Density, Absolute Value
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Covers the properties of real numbers, including bounds, density, and absolute value.
Introduction to Analysis
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Covers the basics of analysis, including proofs, sets, rational and real numbers, and the concept of infimum.
Resolving Operators: Closedness and Injectivity
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Discusses resolving operators' closedness and injectivity in Banach spaces.
Sparsest Cut: ARV Theorem
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Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.
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Partial Derivatives and Differential Equations
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Covers partial derivatives, differentiability, differential equations, sets properties, and local extrema verification.
Residue Theorem: Calculating Integrals on Closed Curves
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Covers the application of the residue theorem in calculating integrals on closed curves in complex analysis.
Simplicial Homology: Structure and Complexes
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Covers the structure of topological spaces with A-complexes and chain complexes.
Joint Equidistribution of CM points
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Explores the equidistribution of CM points in toral sets with periodic measures and compact abelian varieties.
Properties of Continuous Functions
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Covers the properties of continuous functions and explores inverse and injective functions with examples.
Two Definitions of Group Action
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Explores two definitions of group action on a set, focusing on properties and applications.
K-means Algorithm
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Covers the K-means algorithm for clustering data samples into k classes without labels, aiming to minimize the loss function.
Linear Equations: Matrix Notation & Solutions
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Covers matrix notation for linear equations, solutions, and geometric interpretations.
Affinity and Ellipses in Descriptive Geometry
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Explores affinity in geometry, segment construction, ellipses, and circle projections.
Singular Value Decomposition, Pseudoinverse
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Covers Singular Value Decomposition and Pseudoinverse, explaining their applications in data compression and linear systems.
Closure Conversion and Dataflow Analysis
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Explores closure conversion, function hoisting, and dataflow analysis for program optimization.
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