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
Lecture
Combinatorial Optimization: Simulated Annealing
Graph Chatbot
Related lectures (30)
Previous
Page 1 of 3
Next
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Energy Minimization in Biological Systems: Equilibrium Models
Covers energy minimization models in biological systems, focusing on equilibrium and the roles of entropy and hydrophobicity.
Optimization and Simulation
Explores optimization techniques like Metropolis-Hastings and Simulated Annealing through Markov chains and stationary distributions.
Markov Chains and Algorithm Applications
Covers the application of Markov chains and algorithms for function optimization and graph colorings.
Second Law of Thermodynamics
Explores the Second Law of Thermodynamics, Gibbs Free Energy, equilibrium constants, and Le Châtelier's Principle.
Heuristic Optimization Methods
Explores heuristic optimization methods to find the global optimum efficiently.
Correlation Functions in Quantum Field Theory
Explores correlation functions in QFT, Wick theorem, perturbation theory, and thermal free energy.
Optimization with Constraints: KKT Conditions
Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.
Distributed Intelligent Systems: General Logistics and Course Overview
Covers the general logistics, course rationale, prerequisites, organization, credits, workload, grading, and course content, including swarm intelligence, foraging strategies, and collective phenomena.