Continuous Optimization Problems Quiz
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Questions and Answers

What type of variables are involved in continuous optimization problems?

  • Categorical variables
  • Ordinal variables
  • Discrete variables
  • Continuous variables (correct)
  • In continuous optimization, what needs to be found from a continuous function?

  • Average value
  • Maximum value
  • Optimal value (correct)
  • Minimum value
  • What type of problems can be encountered in continuous optimization?

  • Multimodal problems (correct)
  • Binary problems
  • Unimodal problems
  • Linear problems
  • In the context of optimization, what does 'constrained problems' refer to?

    <p>Problems with limitations on the feasible solutions</p> Signup and view all the answers

    Which of the following is NOT a common characteristic of continuous optimization?

    <p>Focuses on discrete solutions</p> Signup and view all the answers

    Which type of optimization problem involves finding the best solution from a finite set of possibilities?

    <p>Discrete optimization</p> Signup and view all the answers

    Which optimization technique is commonly used in deep learning to minimize loss functions?

    <p>Gradient descent</p> Signup and view all the answers

    Which type of optimization problem deals with finding the optimal solution subject to certain constraints?

    <p>Constrained optimization</p> Signup and view all the answers

    Which optimization algorithm is inspired by the process of natural selection and genetic reproduction?

    <p>Genetic algorithm</p> Signup and view all the answers

    Which type of optimization problem has multiple local optima, making it challenging to find the global optimum?

    <p>Multimodal optimization</p> Signup and view all the answers

    Which optimization technique uses a grid search to find the best hyperparameters for a machine learning model?

    <p>Grid search</p> Signup and view all the answers

    What is the main objective of optimization methods?

    <p>Maximize profits</p> Signup and view all the answers

    Which optimization method guides the model to find the target by updating variables iteratively?

    <p>Gradient Descent</p> Signup and view all the answers

    What is the equation associated with Stochastic Gradient Descent used for?

    <p>Addressing large-scale data computational complexity</p> Signup and view all the answers

    Which type of optimization is concerned with finding the best solution with discrete decision variables?

    <p>Discrete optimization</p> Signup and view all the answers

    In deep learning, what is the purpose of back-propagation?

    <p>Reduce the loss function</p> Signup and view all the answers

    What distinguishes constrained optimization from other types of optimization problems?

    <p>Includes constraints on decision variables</p> Signup and view all the answers

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