Easy way to solve optimization problems

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SUMMARY

The discussion focuses on the challenges of formulating optimization problems in calculus rather than solving them. Participants emphasize the importance of modeling and recommend resources for understanding optimization formulations. A notable resource mentioned is the website containing numerous applied optimization problems and solutions. Additionally, the book "Numerical Optimization" by Nocedal and Wright is highlighted as a key reference for understanding minimization techniques.

PREREQUISITES
  • Understanding of calculus concepts, particularly optimization techniques.
  • Familiarity with mathematical modeling and problem formulation.
  • Basic knowledge of linear regression and data fitting.
  • Awareness of optimization theory and its applications.
NEXT STEPS
  • Explore the website provided for applied optimization problems and solutions.
  • Read "Numerical Optimization" by Nocedal and Wright for in-depth techniques on minimization.
  • Investigate various mathematical modeling strategies for optimization problems.
  • Learn about advanced topics in optimization theory and current research trends.
USEFUL FOR

Students and professionals in mathematics, engineering, and data science who are looking to improve their skills in formulating and solving optimization problems.

sasuke07
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Hi, So i don't need help on any specific problem, I was just wondering if there was an easy way to solve optimization problems in calc. I have no problem doing most of it, its just that coming up with the functions is my biggest problem. Can anyone give me advice on coming up with the problems.
 
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sasuke07 said:
Hi, So i don't need help on any specific problem, I was just wondering if there was an easy way to solve optimization problems in calc. I have no problem doing most of it, its just that coming up with the functions is my biggest problem. Can anyone give me advice on coming up with the problems.

Your question is not clear, but you seem to be saying that you have more trouble coming up with the formulation of a problem than solving it; that is, your question is about modelling, not about solving. If that is the case, there are numerous books and articles dealing with optimization formulations. The following link seems particularly relevant; it contains numerous problems and solutions:
http://homepages.math.uic.edu/~dcabrera/practice_exams/topics/appliedoptimization.html
 
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Adding to Mr. Vickson's post (that is a cool website, by the way), many problems are set up as minimisations, that is wherever the function is at a minimum is your optimum solution. For example, in the case of fitting a line to a set of points (linear regression), you attempt to minimise the data misfit. The best resource I have for computing these minimisations is Nocedal and Wright: "Numerical Optimization." I think optimisation theory is a really cool field with tons of active research.
 

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