A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed integer linear ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse after every step of the method.

This repository contains the implementation of an optimized university timetabling system using Integer Linear Programming (ILP) techniques. The system aims to efficiently allocate classrooms, ...

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 problem ...

Our linear programming techniques for obtaining the BLISS operator enable more efficient Hamiltonian simulation and, by reducing the Hamiltonian’s spectral range, offer opportunities for improved LCU ...

Linear programming provides methods for computing the most practical solutions in production, operations, and supply planning and in the control of complex processes. The introduction of linear ...

Observations of growth, coalescence, and detachment of gas bubbles on the microscale ridge-like features achieved using high-speed imaging suggest a possible cause for the improved performance at the ...

Learn about the advantages of using linear programming models for data analysis in operations research, such as simplifying problems, finding optimal solutions, and communicating results.

MMM using Non-linear Models and SHAP Values This repository contains code and resources for implementing the Multivariate Time Series (MMM) forecasting approach using non-linear models and ...