Lecture 3 Flashcards

1
Q

Solution Methods for Unconstrained Optimization

A

Indirect methods (Optimal solution is found by solving the system of equations)
and
Direct methods (Optimal solution is found by directly improving the objective function via iterative descent)

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2
Q

Direct methods
Iterative descent

A

Line search approach
and
Trust region approach

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3
Q

Armijo Condition

A

Let
𝑓 be continuously differentiable, 𝒑 a descent direction, and let 𝑐 ∈(0,1) be given. Then there exists an
𝛼>0, such that for πœ™(𝛼)≔𝑓(π’™π‘˜+𝛼𝒑), the condition πœ™(𝛼)β‰€πœ™(0)+π›Όπ‘πœ™β€²(0) holds

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4
Q

Wolfe Conditions

A

Relevance:
Wolfe Conditions promote
convergence to a stationary point

Geometric interpretation:
guarantee minimum step length!

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5
Q

Line search approach

Determination of a Descent Direction

A

Steepest descent direction
Conjugate directions
Newton’s step direction
…. special cases

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6
Q

Zeroth order oracle
First order oracle
Second order oracle

A
  • Given 𝒙return the value 𝑓(𝒙)
  • Given 𝒙return 𝑓𝒙and gradient πœ΅π‘“(𝒙)
  • Given 𝒙return 𝑓𝒙, πœ΅π‘“(𝒙) and Hessian 𝜡^2𝑓(𝒙)
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7
Q

Analytical Complexity
Arithmetical Complexity

A

Analytical Complexity: The smallest number of queries to an oracle to solve Problem 𝑃 to accuracy Ξ΅

Arithmetical Complexity: The smallest number of arithmetic operations (including work of the oracle and work of method), required to solve problem 𝑃up to accuracy Ξ΅

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