
Advertising Campaign Optimization: Linear Programming Project
Math project using linear programming to optimize an advertising campaign. Maximize reach with radio & TV ads within budget constraints.
Linear Programming is a technique used for optimization of a real-world situation. Examples of optimization include maximizing the number of items that can be manufactured or minimizing …
Linear Programming Project with answer key 1 1 - Name:
May 13, 2016 · You must figure out how many magazine and TV ads to purchase. TV ads cost $600 per airing. Magazine ads cost $1200 per issue. You total advertising budget is $9,000. 1. …
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What does the slope tell you about how each magazine ad affects sales? We now have all of the information we need to solve the linear program. We want to know how many magazine and …
Math 1010 Optimization Project | PDF | Mathematical ... - Scribd
This document describes optimizing an advertising campaign using linear programming. The objective is to maximize the number of people reached within a $6460 budget by purchasing …
Linear Programming: Optimizing Media Reach (Algebra 1)
But what will bring in their audience—posters, newspaper ads, radio spots? How can they get the best bang for the buck? Enter linear programming. Students may be surprised to find that …
Linear Programming with Python: Use Case N1 - LinkedIn
Apr 23, 2024 · Linear Programming using Python code. Results: LP Results. 175 radio ads must be used. 10 TV ads must be used. The predicted (and maximum) number of people reached is …
Linear Programming is a technique used for optimization of a real-world situation. Examples of optimization include maximizing the number of items that can be manufactured or minimizing …
MATH 103 Linear Programming Project.docx - Course Hero
Apr 7, 2024 · To maximize the increase in the client base while satisfying your budget and other constraints, you should buy 15 radio ads and 6 magazine ads. This combination of radio and …
Number of Magazine Ads Use the points (1, 100) and (8, 800) to estimate the line of best fit. 1. Graph the line that goes through both points. 2. Find the slope of the line. 3. Write the equation …
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