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The Great Courses No 1342: Mathematical Decision Making: Predictive Models And Optimization

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Audio Books : Educational : MP3/128Kbps : English
        

The Great Courses No.1342: Mathematical Decision Making: Predictive Models And Optimization

24
lectures | 31 minutes each | Year Released: 2015
MPEG-3 | 128 Kbps, 44.1 KHz, 2 channels | English | 686 Mb 

Website: http://www.thegreatcourses.com/courses/mathematical-optimization-techniques.html

Synopsis: Not so long ago, executives faced with complex problems made decisions based on experience,
intuition, and no small measure of luck. But now there’s a better way. In recent decades, mathematics and
computer science have perfected formerly top-secret techniques for predicting the best possible outcomes when faced with
conflicting options. This field goes by different names—analytics, operations research, linear and nonlinear
programming, management science—but its purpose is simple: to apply quantitative methods to help business
managers, public servants, investors, scientific researchers, and problem solvers of all kinds make better decisions.

Content:

01.The Operations Research Superhighway
02.Forecasting with Simple Linear
Regression
03.Nonlinear Trends and Multiple Regression
04.Time Series Forecasting
05.Data Mining:
Exploration and Prediction
06.Data Mining for Affinity and Clustering
07.Optimization: Goals, Decisions, and
Constraints
08.Linear Programming and Optimal Network Flow
09.Scheduling and Multiperiod Planning
10.Visualizing Solutions to Linear Programs
11.Solving Linear Programs in a Spreadsheet
12.Sensitivity
Analysis: Trust the Answer?
13.Integer Programming: All or Nothing
14.Where Is the Efficiency Frontier?
15.Programs with Multiple Goals
16.Optimization in a Nonlinear Landscape
17.Nonlinear Models: Best Location,
Best Pricing
18.Randomness, Probability, and Expectation
19.Decision Trees: Which Scenario Is Best?
20.Bayesian Analysis of New Information
21.Markov Models: How a Random Walk Evolves
22.Queuing: Why Waiting
Lines Work or Fail
23.Monte Carlo Simulation for a Better Job Bid
24.Stochastic Optimization and Risk

                                                             

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