Quasi-Newton Methods
Learn how to approximate Newton’s methods when Hessians are difficult or expensive to compute.
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Quasi-Newton methods are a class of second-order optimization algorithms that are particularly useful when the function’s Hessian is difficult to compute or not available.
Consider the update rule of the Newton algorithm at the time
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