The AI revolution has powered both the S&P 500 (SPX) and the Nasdaq 100 (NDX) higher this year. However, the next phase of ...

They introduce a globally convergent sequential linear programming method for nonlinear programming that is then applied to the solution of classic topology optimization problems. They conclude that ...

hpc optimization solver mpi cuda constrained-optimization nonlinear-programming-algorithms nonlinear-optimization nonlinear-programming interior-point-method rocm bfgs parallel-programming ...

This project is aimed at implementing nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their numerical expression using various programming languages.

A novel nonlinear programming based control allocation scheme is developed. The performance of this nonlinear control allocation algorithm is compared with that of other control allocation approaches, ...

This article emphasizes the role of structured neural networks in enhancing control accuracy for complex nonlinear processes. Furthering the development of nonlinear control strategies, Shettigar et ...

Integer [Linear] Programming Algorithms for integer programming often take a first stab at a solution with linear programming, which is outwardly similar but allows the variables to vary continuously.

Bazaraa, M.S., Sherali, H.D. and Shetty, C.M. (2006) Nonlinear Programming Theory and Algorithms. Wiley.