The fourth edition of the large-scale optimization will be held in the Department of management studies, Indian Institute of Technology Roorkee. The last three editions of this summer school were held at the Indian Institute of Management Indore (2019), Indian Institute of Management Ahmedabad (2022), and Indian Institute of Technology Kanpur (2023). Optimization is considered to be an essential sub-field of operations research. It's widely useful in many quantitative disciplines, more especially Operations research, computer science, economics, and Industrial engineering. In many real-life scenarios, we deal with optimization problems with a large number of variables and constraints. These types of problems are very common in several areas such as Supply chain management, Transportation, Logistics, and Telecommunications. These types of optimization problems are considered to be notoriously difficult. The main focus of this summer school is to train participants on how to take advantage of the often hidden special structures of such problems, either by relaxation or by decomposition into relatively easier/smaller problems, which can be solved efficiently using their special structures. The challenge then is how to recover the solution to the original problem from the solution to its relaxation/decomposition. The summer school will offer tutorials on a variety of decomposition techniques, including Lagrangian Relaxation, Benders Decomposition, Column Generation, Dantzig-Wolfe Decomposition methods, Cutting Plane methods, Generalized Benders, Heuristic methods, Stochastic optimization, Multi-level optimization, Mixed Integer Nonlinear Programs.
Based on the enthusiastic response after the previous summer schools (2019, 2022, 2023), we are pleased to announce its next offering, to be held at the Indian Institute of Technology Roorkee.
Click here to see brochure
DoMS, IIT Roorkee
Masters/PhD students/Postdocs working in Operations Research/Management Science/Industrial Engineering
Faculty members working with Integer Programs
Industry professionals in Optimization/Logistics/Supply Chain Domain
Modeling Integer Programs and Mixed Integer Programs
Modeling using AMPL (A Mathematical Programming Language)
Modeling in C/C++/Python for IBM Cplex/ Gurobi
Valid Inequalities & Cutting Plane Method
Mixed Integer Non-linear Programming
Heuristics for LSO