Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Concept
Genetic algorithm
Formal sciences
Mathematics
Mathematical optimization
Metaheuristics
Graph Chatbot
Related lectures (30)
Login to filter by course
Login to filter by course
Reset
Previous
Page 3 of 3
Next
Protein Folding: From DCA to AlphaFold
Explores the evolution of protein folding techniques, from DCA to AlphaFold.
Variance Reduction: Strategies and Applications
Discusses variance reduction techniques in stochastic simulation, focusing on allocation strategies and replica generation algorithms.
Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory and algorithms optimization, comparing minimax, alpha-beta pruning, and Monte-Carlo tree search.
High Performance OPF Solvers
Explores high-performance OPF solvers, addressing challenges in power system optimization and showcasing significant speed-ups and memory-efficient approaches.
Stochastic Simulation: Rare Events and Crude Monte Carlo
Explores stochastic simulation, rare events, and the Crude Monte Carlo method, emphasizing the importance of thresholds and closed-form expressions.
Model Optimisation with eFel and BluePyOpt
Covers the process of optimising neuron model parameters using eFel and BluePyOpt.
Numerical Analysis: Algorithms and Concepts
Covers algorithms for mathematical problems, focusing on stability, precision, and critical result analysis.
Markov Chains and Algorithm Applications
Explores Markov chains and algorithm applications, including exact simulation and Propp-Wilson algorithms.
Greedy Algorithms & Matroids
Introduces greedy algorithms and matroids, highlighting their efficiency in solving optimization problems.
Optimization algorithms
Covers optimization algorithms, focusing on Proximal Gradient Descent and its variations.
