convex problem造句
例句與造句
- While designed for convex problems, AdaGrad has been successfully applied to non-convex optimization.
- Solving even close-to-convex but non-convex problems can be computationally intractable.
- Examples of algorithms that solve convex problems by hill-climbing include the simplex algorithm for linear programming and binary search.
- The first form can be applied only in the convex problems, while the second form is universal and can be used in general nonlinear problems.
- This is unlike the standard sequential minimal optimization ( SMO )-based algorithms employed by SVMs, which are guaranteed to find a global optimum ( of the convex problem ).
- It's difficult to find convex problem in a sentence. 用convex problem造句挺難的
- While the worst-case convergence rate with O ( 1 / k ) can not be improved in general, faster convergence can be obtained for special problem classes, such as some strongly convex problems.
- In a convex problem, if there is a local minimum that is interior ( not on the edge of the set of feasible points ), it is also the global minimum, but a nonconvex problem may have more than one local minimum not all of which need be global minima.
- Hill climbing is good for finding a local optimum ( a solution that cannot be improved by considering a neighbouring configuration ) but it is not necessarily guaranteed to find the best possible solution ( the global optimum ) out of all possible solutions ( the convex problems, hill-climbing " is " optimal.