Using this method, solving the first kind integral equation reduces to solving a recurrence relation. The approximate solution is most easily produced iteratively via the recurrence relation. Therefore, computing the numerical solution does not need to solve any linear system of algebraic equations. To...
This method is based on vector forms of block-pulse functions. By using this approach, solving the first kind integral equation reduces to solve a recurrence relation. The approximate solution is most easily produced iteratively via the recurrence relation. Therefore, computing the numerical solution ...
(4) Solve the l1-minimization problem in (35). (5) Compute the residuals Ri(y) defined in (38). (6) Output: identity(y) = argmini Ri(y). 5. Illustration of the Proposed Method Since the proposed method could simultaneously perform feature selection and multiclass classification...
Evaluate L(y) for all y∈S by a suitable numerical method. Step 2: For an initial value of the weight vector θ¯∈Θ, evaluate the neural network Lθ¯ (2.9), the loss function (2.15) and its gradients to initialize the (stochastic) gradient descent algorithm. Step 3: Run a ...