What are some common optimization methods used in engineering?
Common optimization methods in engineering include linear programming, genetic algorithms, and gradient descent.
Can you explain how genetic algorithms work?
Genetic algorithms mimic natural selection, using processes like mutation and crossover to evolve solutions over generations.
What are the advantages of using gradient descent?
Gradient descent is efficient for large datasets and helps find local minima in complex optimization problems.
Are there any specific applications of these methods in real-world engineering?
Yes, these methods are used in structural design, resource allocation, and even in machine learning model training.
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