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Lecture
Direct Methods for Linear Equations
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Related lectures (31)
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State Space Models: Expressivity of Transformers
Covers state space models and the expressivity of transformers in sequence copying tasks.
The Wrong Method: Polynomial Interpolation
Explores the inefficiencies of the incorrect method for polynomial interpolation.
Linear Equations Resolution
Covers the resolution of linear equations, focusing on trigonometric equations and elementary concepts.
Introduction to Complexity
Introduces time complexity and worst-case analysis of algorithms, abstracting computational complexity from implementation details.
Introduction to Complexity
Introduces time complexity and worst-case analysis of algorithms, abstracting computational complexity from implementation details.
Subset Sum: LLL Algorithm
Covers the Subset Sum problem and the efficient LLL algorithm for finding solutions in lattice basis reduction.
Subquadratic Attention Mechanisms: State Space Models Overview
Covers subquadratic attention mechanisms and state space models, focusing on their theoretical foundations and practical implementations in machine learning.
Complexity & Induction: Algorithms & Proofs
Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.
Distributed Intelligent Systems: Division of Labor and Multi-Robot Coordination
Explores division of labor in natural systems, multi-robot coordination, and the challenges of uncertainty in market-based algorithms.
Computational Complexity
Covers the basics of computational complexity, including big O notation and complexity classes.
