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Found 6 papers, 1 papers with code
A Refined Inertial DC Algorithm for DC Programming
In this paper we consider the difference-of-convex (DC) programming problems, whose objective function is the difference of two convex functions.
Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19
We established a Spatio-Temporal Neural Network, namely STNN, to forecast the spread of the coronavirus COVID-19 outbreak worldwide in 2020.
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model
In this paper, we design a hybrid extractive sentence compression model combining a probability language model and a parse tree language model for compressing sentences by guaranteeing the syntax correctness of the compression results.
Discrete Dynamical System Approaches for Boolean Polynomial Optimization
We have tested our ODE approaches and compared with the classical nonlinear optimization solver IPOPT and a quadratic binary formulation approach (QB-G) as well as an exhaustive method using parallel computing techniques.
Optimization and Control Dynamical Systems 90C09, 90C10, 90C27, 90C30, 35Q90, 65K05
Sentence Compression via DC Programming Approach
Sentence compression is an important problem in natural language processing.
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials
Then, we propose the set of D-SOS and DC-SOS polynomials, and prove that any polynomial can be formulated as D-SOS and DC-SOS.
Optimization and Control 12Y05, 65K05, 90C22, 90C25, 90C26, 90C30, 90C90
