Sentence examples for primal methods from inspiring English sources

Our asymptotic runtime compares favourably with conventional ('primal') methods, because primal methods search for full-length parameter vectors in a space that grows exponentially with the number of parameters.

Although primal methods with heuristic sampling do not have to cover the entire parameter space, they must maintain some coverage of the major 'valleys' of the objective function.

If the number of valleys and inflection points grows with the size of the parameter space, then primal methods will perform poorly (accuracy versus runtime) on large networks.

In this paper, the Mimetic Finite Difference method and Finite Volume Method are used to improve the numerical solution of the embedded discrete fracture model, the improved method can deal with permeability tensor and can be used to simulate fractured reservoir with complex geometrical shape, which fails to be solved by the primal method based on the finite difference method.

These youth are being deprived of learning how to interact in the most basic and primal method our ancestors have passed along for thousands of years.

All that is known is that, once in it, patients will fall back on primal coping methods, behaviors learned in childhood within the cultural context of their family.

We then propose a primal decomposition method to solve instances of the problem to optimality.

Observing the symmetry, we can apply the primal decomposition method [23] to break down the problem into two simpler subproblems.

For small systems, we also found the exact solution using the primal enumeration method given in Section 2.3.

With these values, it is no longer possible to use the primal enumeration method and we compute the gap relative to the dual upper bound.

To overcome this problem we have devised a primal SVM method with the following properties: (1) it solves for the SVM representation without the need to invoke the representer theorem, (2) forward and backward selections are combined to approach the final globally optimal solution, and (3) a criterion is introduced for identification of support vectors leading to a much reduced support vector set.