Abstract: The proximal inertial gradient descent (PIGD) is efficient for the composite minimization and applicable for broad of machine learning problems. In this article, we revisit the computational ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

To overcome this problem, an intelligent optimal control system with flexible objective functions (IOCS-FOF) was proposed in this paper. The main merits of this proposed IOCS-FOF were shown as follows ...

The file errata contains a list of significant known errors in the first and second printings. The code for each chapter and any files used by the code are in the folder code files. To download all of ...

Consider two functions: f1(x, y) = (x − 2)^2 + (y − 3)^2 and f2(x, y) = (1 − (y − 3))^2 + 20((x + 3) − (y − 3)^2)^2 Starting with (x, y) = (0, 0) run the gradient descent algorithm for each function.