Lecture 8 Flashcards

1
Q

What is a unimodal function?

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2
Q

What is the main idea behind Golden Section search?

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3
Q

What is the golden section search algorithm?

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4
Q

What is Newtons method (optimization)? What is its convergence rate?

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5
Q

What is the main idea behind Successive Parabolic Interpolation (optimization)? What is its rate of convergence?

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6
Q

How does the steepest decent algorithm work?

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7
Q

What is Newtons (multivariate) optimization method?

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8
Q

What is the algorithm of Newtons (multivariate) optimization method?

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9
Q

What is the BFGS algorithm?

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10
Q

How does BFGS compare to Newton?

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11
Q

For a (equality) constraint optimization problem, which formula needs to hold?

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12
Q

What is the is the Lagrangian function? What is its gradient? What is its Hessian?

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13
Q

What is the idea of the Lagrangian?

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14
Q

How can the Hessian help describe the type of critical point?

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15
Q

What is the idea of non-linear Least Squares?

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16
Q

What is the Gauss-Newton method?

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17
Q
A