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Noncommutative Smith Form
Graph Chatbot
Related lectures (24)
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Computation & Algorithms I
Covers the basics of algorithms, their historical significance, pseudo-code representation, and practical tasks in computational thinking.
Complexity & Induction: Algorithms & Proofs
Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.
Scripts and Algorithms: MATLAB and Octave Basics
Introduces the basics of scripts and algorithms using MATLAB and Octave for beginners.
Algorithms & Growth of Functions
Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.
Introduction to Information, Computation, and Communication
Introduces the fundamental principles of Information, Computation, and Communication theory, covering genomics, medical imaging, and assistive technology.
Graph Matching Entropy
Explores the relationship between matchings, entropy, and Bethe free entropy in random graphs.
Solving Parity Games in Practice
Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.
Theory of Computation: Problems Definition and Counting (Denumerability)
Explores the theory of computation, emphasizing problems definition, counting, and the limits of algorithmic computation.
Variance Reduction Techniques
Covers variance reduction techniques in optimization, focusing on gradient descent and stochastic gradient descent methods.
Graph Sketching: Connected Components
Covers the concept of graph sketching with a focus on connected components.
