Concept

Communication complexity

Related lectures (26)

Complexity & Induction: Algorithms & Proofs

Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

FloodSet Algorithm: Consensus and Agreement

Explores the FloodSet algorithm for synchronous agreement in crash failures and its communication complexity, along with bonus exercises on consensus protocols.

Theory of Computation: Monotone Complexity and XOR-SAT Lower Bounds

Explores monotone complexity, XOR-SAT lower bounds, and their implications in computational theory.

Sparsest Subgraph: Densest Subgraph

Covers Sparsest Subgraph and Densest Subgraph, focusing on correlation clustering and approximation algorithms.

Advanced Counting: Organizational Issues

Discusses the alignment between exercises and theory, exam complexity, and course format adjustments.

Cluster entropy computation

Explains the computation of cluster entropy and the significance of sigma of s in the equation.

Consensus Algorithms: FloodSet

Explores the FloodSet algorithm for achieving consensus in distributed systems through guided proofs and communication complexity analysis.

Advanced Additive Manufacturing Technologies: Light Engine

Explores 3D printing using continuous wave light for single photon absorption and its applications in advanced additive manufacturing technologies.

Discussion of Complexity

Explores worst-case complexity in computer science and the importance of real-life complexity in algorithm selection.

Linear Algebra: Efficiency and Complexity

Explores constraints, efficiency, and complexity in linear algebra, emphasizing convexity and worst-case complexity in algorithm analysis.

Elements of Computational Complexity

Introduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.

Distributed Quantum Computing

Delves into distributed quantum computing, showcasing quantum algorithms and protocols to optimize communication complexity.

Distributed Quantum Computing

Explores communication complexity and quantum computation models in Distributed Quantum Computing.

Quantum Computing: NISQ and Grover's Algorithm

Covers NISQ computing, error correction, quantum algorithm complexity, and Grover's search algorithm.

Quantum Algorithms: Complexity and Learning Insights

Explores quantum algorithms, their complexity, and applications in learning, highlighting key concepts and recent research findings.

Complexity & Induction: Algorithms & Proofs

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Proteomics Challenges: Limits and Future Perspectives

Covers the challenges in proteomics, focusing on complexity, dynamic range, and advancements in data-independent acquisition methods.

Algorithm Complexity Analyses

Covers the complexity analyses of algorithms and their worst-case time complexities.

Quantum Computational Advantage

Explores testing quantum systems in the high-complexity regime and the challenges of demonstrating quantum computational advantage.

Summary of Result for Linear Regression

Summarizes the result for linear regression and introduces Vapnik-Chervonenkis dimension and growth function.