LambdaConf 2015 - Introduction to Constraint Logic Programming Sergii Dymchenko
Constraint logic programming is a paradigm that allows solving hard combinatorial problems with minimal programming effort. In this workshop you will learn the basics of the Prolog-based constraint logic programming system ECLiPSe, solve several puzzles, and get hints how constraint logic
From playlist LambdaConf 2015
Shmuel Onn: Sparse integer programming is FPT
We show that sparse integer programming, in variable dimension, with linear or separable convex objective, is fixed-parameter tractable. This is a culmination of a long line of research with many colleagues. We also discuss some of the many consequences of this result, which provides a new
From playlist Workshop: Tropical geometry and the geometry of linear programming
Constraint Satisfaction Problems in Python
Author David Kopec discusses Constraint-Satisfaction Problems in Python. To learn more, see David's book Classic Computer Science Problems in Python | http://mng.bz/95B1 This video is also available on Manning's liveVideo platform: http://mng.bz/j2wP Use the discount code WATCHKOPEC40 f
From playlist Python
V6 01: Linear Programming: Introduction to Integer programming
Linear Programming: Introduction to Integer programming
From playlist Math484 Linear Programming Short Videos, summer 2020
Constraint Enforcement for Improved Safety | Learning-Based Control, Part 2
Learn about the constraints of your system and how you can enforce those constraints so the system does not violate them. In safety-critical applications, constraint enforcement ensures that any control action taken does not result in the system exceeding a safety bound. Constraint enforce
From playlist Learning-Based Control
Learning how to find the maximum value of an objective function
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints. To solve a linear programming problem graphically,
From playlist Solve Linear Programming Problems #System
Linear Programming Solution on Vertices Proof
The maximum or minimum solution to a linear programming problem is always on a vertex of the feasible region. This video explores an intuition for why this is the case.
From playlist Fun
V4-02. Linear Programming. Definition of the Dual problem.
Math 484: Linear Programming. Definition of the Dual problem. Wen Shen, 2020, Penn State University
From playlist Math484 Linear Programming Short Videos, summer 2020
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Machine Learning
Ruby Conference 2007 Geocode/R by Andreas Erik Johan Launila
Help us caption & translate this video! http://amara.org/v/FGdA/
From playlist Ruby Conference 2007
Product Rules in Semidefinite Programming - Rajat Mittal
Rajat Mittal March 22, 2010 Semidefinite programming bounds are widely used in combinatorial optimization, quantum computing and complexity theory. The first semidefinite programming bound to gain fame is the so-called theta number developed by Lov\'asz to compute the Shannon capacity of
From playlist Mathematics
Linear Programming - Explanation and Example
This video is about Linear Programming - Explanation and Example
From playlist Optimization
Constrained Optimization: Linear Programs
In this video we introduce the concept of linear optimization problems, AKA linear programs (LPs). LPs are optimization problems where the cost function and constraints are linear (or affine). We examine several examples of linear programs, discuss how to transform general LPs into stand
From playlist Optimization
What in the world is a linear program?
What is a linear program and why do we care? Today I’m going to introduce you to the exciting world of optimization, which is the mathematical field of maximizing or minimizing an objective function subject to constraints. The most fundamental topic in optimization is linear programming,
From playlist Summer of Math Exposition 2 videos
“Choice Modeling and Assortment Optimization” - Session I - Prof. Huseyin Topaloglu
This module overviews static and dynamic assortment optimization problems. We start with an introduction to discrete choice modeling and discuss estimation issues when fitting a choice model to observed sales histories. Following this introduction, we discuss static and dynamic assortment
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
Louis-Martin Rousseau: "Combining Reinforcement Learning & Constraint Programming for Combinator..."
Deep Learning and Combinatorial Optimization 2021 "Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization" Louis-Martin Rousseau - École Polytechnique de Montréal Abstract: Combinatorial optimization has found applications in numerous fields, from aero
From playlist Deep Learning and Combinatorial Optimization 2021
V6 02: Linear Programming: Gomory's Cutting Plane algorithm, p1
Linear Programming: Gomory's Cutting Plane algorithm, p1
From playlist Math484 Linear Programming Short Videos, summer 2020
This is Lecture 21 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture23.pdf
From playlist CSE373 - Analysis of Algorithms - 1997 SBU
Setting up a linear programming problem by identifying the feasible region
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of inequalities, called the constraints. To solve a linear programming problem graphically,
From playlist Solve Linear Programming Problems #System