Investment Over Time$10,000Year 1X2Year 2X3Year 3X4Year 4• A 1-year investment yields a 3% return• A 2-year investment yields a 5% return• A3-year investment yields an 8% return• Maximize the amount at the end of year 4Given the investment over time problem above, what is the year 4 constraint? Use correct linear programming format.O X34 + X24 + X14 = X4O 1.03X34 + 1.05X24 + 1.08X14 = X41.03X34 + 1.05X24 + 1.08X14 - X4 = 0None of the above

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Answered: • A 1-year investment yields a 3%…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Describe an application of linear programming you might find useful where you work, in your personal life, or in a course you are taking. Be specific with your answers. This is an opportunity for you to showcase what you have learned about linear programming and your ability to apply your knowledge to real-world applications.
only HANDWRITTEN answer needed ( NOT TYPED)
Hugh and his partners grow tomatoes exclusively. Although they grow many varieties, tomatoes are all that they produce for leading supermarket chains in the UK. Should they diversify into related products such as lettuce? Write a summary report, focusing on the objective function, constraints, and decision variables that are used for Linear Programming. L for box for lettuce T for box of tomato
Question 16 Suppose that you have downloaded data on the daily share prices for a company for the period from the start of 2020 to the end of 2020 from the website of Yahoo Finance UK. You have also calculated the daily rates of return for the company's shares as (closing price - opening price)/opening price. By using the knowledge that you have gained from descriptive statistics, how can you obtain useful information about the company's share performance in terms of risk and return using a range of alternative indicators? Note that you should give necessary formulas for the technical concepts wherever they may apply.
Asap plz
The function to be optimized in a linear programming application is called the __________ function.
Examples of how linear programming can help managers make better decisions Give detailed examples and numbers to back up your points.
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Julie works no more than 40 hours per week during the school year. She is paid $16 an hour for mentoring students and $14 an hour for tutoring elementary students. She is paid $12 an hour as a personal grocery shopper. She wants to spend at least 10 hours but no more than 15 hours mentoring students. She also wants to spend 8 hours but no more than 12 hours as a personal grocery shopper. Find Julie’s maximum weekly earnings. (Linear Programming) m= # of hrs. spent mentoring t= # of hrs. spent tutoring p=# of hrs. spent personal grocery shopping Earnings=16m+14t+12p Total hours worked: m≥10 m≤15 t≥0 p≥8 p≤12 M+t+p≤40

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