Multivariable Constrained Optimization

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SUMMARY

The discussion focuses on solving a multivariable constrained optimization problem where the objective is to minimize the function (a + b + c) under specific constraints involving variables x, y, z, and bounds z1 and z2. The constraints include a spherical region defined by (x-a)² + (y-b)² + (z-c)² being less than or equal to R(z) and greater than or equal to r(z). Participants suggest using methods such as Lagrange multipliers or numerical optimization techniques for effective computation.

PREREQUISITES
  • Understanding of multivariable calculus
  • Familiarity with constrained optimization techniques
  • Knowledge of Lagrange multipliers
  • Basic proficiency in numerical methods for optimization
NEXT STEPS
  • Research Lagrange multipliers for constrained optimization
  • Explore numerical optimization techniques such as the Simplex method
  • Learn about the use of optimization libraries in Python, such as SciPy
  • Study the implications of boundary constraints in optimization problems
USEFUL FOR

Mathematicians, engineers, data scientists, and anyone involved in optimization problems requiring multivariable analysis and constraint handling.

vaibhavphalak
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hi
i want to find values of a,b,c such that..

Minimize (a+b+c)
constrained to

(x-a)^2 + (y-b)^2 + (z-c)^2 less than equal to R(z)

(x-a)^2 + (y-b)^2 + (z-c)^2 greater than equal to r(z)

can anyone help me solving this?? which method should b used for better computation??
 
Physics news on Phys.org
in the above problem," x,y,z" are given and
one more constraint:

-z1 < z < z2

z1,z2 > 0.
 

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