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rosenbrock.core
In mathematical optimization, the Rosenbrock function is a non-convex function, introduced by Howard H. Rosenbrock in 1960, which is used as a performance test problem for optimization algorithms.
In mathematical optimization, the Rosenbrock function is a non-convex function, introduced by Howard H. Rosenbrock in 1960, which is used as a performance test problem for optimization algorithms. https://en.wikipedia.org/wiki/Rosenbrock_function
**2clj
(**2 x)Uses the numeric tower expt to square a number
Uses the numeric tower expt to square a number
originalclj
(original x y)(original a b x y)Original 2D variant of the Rosenbrock function. The parameters a and b are
to be fixed, and exploration occurs on x and y. Often these parameters
are set such that a is 1 and b is 100, so if no a or b is
specified then they are defaulted to that. Otherwise, consider using
partial to construct a version with the a and b you wish.
Original 2D variant of the Rosenbrock function. The parameters `a` and `b` are to be fixed, and exploration occurs on `x` and `y`. Often these parameters are set such that `a` is `1` and `b` is `100`, so if no `a` or `b` is specified then they are defaulted to that. Otherwise, consider using `partial` to construct a version with the `a` and `b` you wish.
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