Tagged Questions
0
votes
1answer
79 views
Intuition behind gradient VS curvature
In Newton's method, one computes the gradient of a cost function, (the 'slope') as well as its hessian matrix, (ie, second derivative of the cost function, or 'curvature'). I understand the intuition, ...
1
vote
3answers
184 views
Summary of Optimization Methods.
Context: So in a lot of my self-studies, I come across ways to solve problems that involve optimization of some objective function. (I am coming from signal processing background).
Anyway, I seem to ...
10
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5answers
417 views
Why is convexity more important than quasi-convexity in optimization?
In the mathematical optimization literature it is common to distinguish problems according to whether or not they are convex. The reason seems to be that convex problems are guaranteed to have ...
