How to get better at optimization calculus 1 problems

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SUMMARY

The discussion centers on improving skills in optimization problems from Stewart's Calculus 1. The participant expresses difficulty in visualizing optimization scenarios and seeks advice on whether revisiting geometry concepts, specifically Kiselev's Planimetry and Stereometry, would be beneficial. The consensus emphasizes that practice is crucial for mastering these problems, particularly through working on specific examples and understanding the underlying geometric principles.

PREREQUISITES
  • Understanding of basic calculus concepts, particularly derivatives and critical points.
  • Familiarity with geometric principles relevant to optimization problems.
  • Experience with related rates problems in calculus.
  • Knowledge of Stewart's Calculus 1 textbook and its problem sets.
NEXT STEPS
  • Practice solving various optimization problems from Stewart's Calculus 1.
  • Review Kiselev's Planimetry and Stereometry for geometric insights.
  • Explore additional resources on visualization techniques for calculus problems.
  • Engage in forums or study groups to discuss specific optimization challenges.
USEFUL FOR

Students studying calculus, particularly those struggling with optimization problems, educators looking for teaching strategies, and anyone seeking to enhance their problem-solving skills in mathematics.

TitoSmooth
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Im having trouble starting the harder optimization problems in stewarts calculus (calculus 1). I noticed one of my major problems is not knowing how the picture of the optimized problem looks like.

My test is only going to contain one optimization problem. So I am not worried about failing. My problem is I want to understand. Will returning to geometry after the semester ends help me get better at these types of problem? I have kisselev planametry and sterometry on hand but I think it is too late to start looking at them now during the semester.

I had a similar problem with related rates. I understand everything else tho.
 
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Can you give an example of an optimization problem that you're having troubles with and can you try to explain what is bothering you?
 
how do i get to carnegie hall? practice, practice.
 

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