A very basic overview of optimization, why it's important, the role of modeling, and the basic anatomy of an optimization project.
From playlist Optimization
Heap Sort - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Accounting Lecture 07 Part I - Merchandising and Inventory Purchases
From the free study guides and course manuals at www.my-accounting-tutor.com. Accounting for inventory costing issues and purchases. Part I of two parts.
From playlist Accounting Lectures
Unit 5 - practice problem 1 question
From playlist Courses and Series
13_2 Optimization with Constraints
Here we use optimization with constraints put on a function whose minima or maxima we are seeking. This has practical value as can be seen by the examples used.
From playlist Advanced Calculus / Multivariable Calculus
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
Algorithms In Industry - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
“Choice Modeling and Assortment Optimization” – Session III – Prof. Huseyin Topaloglu
This module overviews static and dynamic assortment optimization problems. We will 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 will discuss static and dynamic a
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
"Data-Driven Optimization in Pricing and Revenue Management" by Arnoud den Boer - Lecture 2
In this course we will study data-driven decision problems: optimization problems for which the relation between decision and outcome is unknown upfront, and thus has to be learned on-the-fly from accumulating data. This type of problems has an intrinsic tension between statistical goals a
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
Build a Heap - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
"Revenue Management & Dynamic Pricing" - Session III - Prof. René Caldentey
This course introduces both the theory and the practice of revenue management and pricing. Fundamentally, revenue management is an applied discipline; its value derives from the business results it achieves. At the same time, it has strong elements of an applied science and the technical e
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
Heaps Of Fun Solution - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Supercharging Decision Making with Bayes
Bayesian Decision Theory is a fundamental statistical approach to the problem of pattern classification. It is considered as the ideal pattern classifier and often used as the benchmark for other algorithms because its decision rule automatically minimizes its loss function. PUBLICATION P
From playlist Machine Learning
Tom McCormick: Discrete Convexity in Supply Chain Models
One of the main results of "Order-Based Cost Optimization in Assemble-to-Order Systems" by Y. Lu and J-S. Song, Operations Research, 53, 151-169 (2005) is Proposition 1 (c), which states that the cost function of an assemble-to-order (ATO) inventory system satisfies a discrete convexity pr
From playlist HIM Lectures 2015
Fifteenth SIAM Activity Group on FME Virtual Talk
Date: Thursday, December 10, 1PM-2PM Early Career Talks Speaker 1: Dena Firoozi, HEC Montréal - University of Montreal Title: Belief Estimation by Agents in Major-Minor LQG Mean Field Games Speaker 2: Sveinn Olafsson, Columbia University Title: Personalized Robo-Advising: Enhancing Inves
From playlist SIAM Activity Group on FME Virtual Talk Series
Bidding Strategies for Display Advertising: How to Avoid Boiling the Ocean
Catherine Williams On a real-time bidding (RTB) exchange like AppNexus, the strategy for direct-response advertising is simple: predict the expected revenue of each available impression, then bid that value. As the universe of web pages seeking RTB ads has grown, though, obtaining enough
From playlist Wolfram Data Summit 2015
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA
Recorded 01 March 2023. Hamsa Bastani of the University of Pennsylvania presents "Decision-Aware Learning for Global Health Supply Chains" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: The combination of machine learning (for prediction) and optimization (
From playlist 2023 Artificial Intelligence and Discrete Optimization
Twenty second SIAM Activity Group on FME Virtual Talk Series
Join us for a series of online talks on topics related to mathematical finance and engineering and running every two weeks until further notice. The series is organized by the SIAM Activity Group on Financial Mathematics and Engineering. Date: Thursday, October 7, 2021, 1PM-2PM Speaker
From playlist SIAM Activity Group on FME Virtual Talk Series
13_1 An Introduction to Optimization in Multivariable Functions
Optimization in multivariable functions: the calculation of critical points and identifying them as local or global extrema (minima or maxima).
From playlist Advanced Calculus / Multivariable Calculus
Maximum Likelihood Estimation and Confidence Intervals
MIT 15.879 Research Seminar in System Dynamics, Spring 2014 View the complete course: http://ocw.mit.edu/15-879S14 Instructor: Armin Ashoury, Ross Collins, Ali S. Kamil Video tutorial created by students as part of the class final project. License: Creative Commons BY-NC-SA More informat
From playlist MIT 15.879 Research Seminar in System Dynamics, Spring 2014