Lecture

The transhipment problem: The shortest path problem

Related lectures (44)
Optimization MethodsMOOC: Optimization: principles and algorithms - Linear optimization
Covers the Newton's local method in Python using NumPy for optimization.
Simplex Algorithm: Basics
Introduces the Simplex algorithm for solving flow problems and handling negative cost cycles.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Simulation & Optimization: Poisson Process & Random Numbers
Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.
Optimization Principles
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Efficient GPU Join Optimization
Discusses efficient GPU-accelerated join optimization for complex queries, aiming to improve optimization times and heuristic plan quality.
Image Processing Basics
Covers the basics of image processing, focusing on writing a program to process images.
Simplex Algorithm
Covers the Simplex algorithm for function minimization with linear constraints.
Variance Reduction: Strategies and Applications
Discusses variance reduction techniques in stochastic simulation, focusing on allocation strategies and replica generation algorithms.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.