IEEE

Sequential Linear Programming With Adaptive Linearization Error Limits for All-Time Feasibility

Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...
IEEE

Automatic Modulation Recognition Method Based on Channel-Enhanced Convolution and Linear-Angular Attention

Abstract: Automatic Modulation Recognition (AMR) is an electronic signal processing technology designed to automatically identify and classify the modulation type of radio signals. Existing AMR ...
GitHub

Learning-to-Optimize for Mixed-Integer Non-Linear Programming

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 ...
GitHub

A CUDA-based implementation of the Alternating Direction Method of Multipliers (ADMM) algorithm to solve Semi-Definite Programming (SDP) problems.

cuADMM solves multi-block SDP problems of the form: $$\min_X \left\langle C,X\right\rangle \quad\text{s.t.}\quad \begin{cases} \left\langle A_i,X\right\rangle = b_i ...