Operations Research
Learn essential Operations Research techniques: linear programming, network analysis, integer programming, nonlinear optimization, game theory, Markov chains, and inventory management. Gain practical skills using AMPL software.
Decomposition Methods for the Unsplittable Flow Problem
Explore decomposition methods for the unsplittable flow problem in satellite constellations. Learn efficient algorithms for large-scale instances and dynamic scenarios, focusing on strengthening linear relaxations.
Personalized Shift Scheduling Problems: From Modelling to Efficient Resolution
Explore personalized shift scheduling challenges, modeling techniques, and efficient resolution methods for complex employee scheduling problems like nurse rostering.
Design of Survivable Networks with Bounded-Length Paths
Explore network design optimization for survivable systems with bounded-length paths. Learn integer programming formulations, valid inequalities, and cutting-plane algorithms for telecommunication network applications.
Dynamic Scheduling of E-Sports Tournaments
Explore dynamic scheduling for e-sports tournaments using Swiss system design, Colley's method, and integer programming to maximize fairness and viewer utility.
Daniel Dadush- Integer Programming and the Kannan-Lovasz Conjecture
Explore advanced integer programming techniques, lattice theory, and the Kannan-Lovasz conjecture in this high-level overview of solving n-variable integer programs efficiently, with insights into recent progress and key concepts.
Sparse Integer Programming Is FPT
Explore sparse integer programming's fixed-parameter tractability, its implications for parameterized complexity, and related concepts in variable dimension optimization.
Gomory Mixed Integer Cuts Are Optimal
Explores the theoretical superiority of Gomory mixed-integer cuts in integer programming, demonstrating their optimality in maximizing volume cut-off from the nonnegative orthant in infinite group relaxations.
Some Approaches for Solving the Discretely-Constrained Mixed Complementarity Problem (DC-MCP)
Explore approaches for solving discretely-constrained mixed complementarity problems in energy and transportation, combining integer restrictions with MCP systems and considering equity aspects.
Fair and Interpretable Decision Rules for Binary Classification
Explore fair and interpretable decision rules for binary classification using Boolean rule sets in DNF, with a focus on maximizing accuracy while maintaining group fairness constraints.
Computational Complexity in Theory and in Practice by Richard M. Karp
Explore the contrast between theoretical and practical approaches to algorithm efficiency, covering complexity classes, NP-completeness, approximation algorithms, and real-world applications.
Design in Type I, Run in Type III - Fast and Scalable Bilinear Type Conversion Using Integer Programm
Explore fast and scalable bilinear type conversion techniques using integer programming, focusing on designing in Type I and running in Type III for improved efficiency.
From Algorithms to Agendas - A Beginner's Guide to Integer Programming
Discover how Integer Programming optimizes conference scheduling, maximizing attendee satisfaction through efficient talk allocation to time slots and rooms.
Heaviside Composite Optimization and Complementarity Constraints by Progressive Integer Programming
Explore advanced optimization techniques for Heaviside composite functions and complementarity constraints using the progressive integer programming method.
A Reverse Minkowski Theorem in Lattice Theory and Geometry
Explore the groundbreaking reverse Minkowski theorem and its applications in complexity theory, cryptography, and algorithms, building on fundamental concepts in geometry of numbers.
DLSS 5 - Нейрослоп или революция? | Стрим, общение
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