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Second, a hybrid decision table consisted both of the "order information" and "loss function", is utilized to solve the ordered three-way decisions with two classification problem.
We note that Algorithm 1 generalizes to also solve the ordered unrooted, unordered rooted, and ordered rooted variants of Min-Cost HSA in polynomial time.
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An algorithm is developed to solve the order conditions up to order three and several new schemes with desirable properties are proposed.
The contribution made of this model is to solve the order determination issue (determining the order of the previous output and input signals that have influence on the current output signal).
The topological information can be used to solve the points ordering problem that occurs in the wireframe based design system.
In order to solve the αth-order differential equations ((alpha >0)), we define a new fractional-order Legendre functions.
This powerful mathematical tool could be used to solve the second-order differential equations.
Several analytical and numerical methods have been proposed to solve the fractional-order differential equations.
This paper proposes using the neural networks to efficiently solve the second-order cone programs (SOCP).
In Section 5, we present an iterative method to solve the second-order fractional nonlinear Emden-Fowler problem.
Now, we solve the first-order ordinary differential equation system (3.6) by using SSP-RK54 scheme [20].
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