Abstract: The design of sparse synthesis has been paying much attention in recent years due to the control of system cost. Concurrently, phase quantization is increasingly being considered for system ...

Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two core ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

The biggest story of the week is a new massive supply chain breach, which appears to be unrelated to the previous massive supply chain breaches, this time of the Axios HTTP project. Axios was ...

Abstract: Risk stratification is the process of segmenting patients into distinct groups of similar complexity and care needs in order to improve resource allocation. Patients are typically risk ...