Nonlinear programming (NLP) is a powerful technique for optimizing complex problems that involve nonlinear functions and constraints. However, choosing the best solver for your problem can be ...

Nonlinear programming (NLP) is a branch of operations research that deals with optimizing a function subject to nonlinear constraints. NLP problems can be very challenging to solve, especially ...

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A nonlinear programming solver is used in this paper to optimize a proposed objective function to handle the energy management system (EMS) of a grid-connected quasi-Z-source cascaded H-bridge ...

An augmented Lagrangian SQP method for solving some special class of nonlinear semi-definite programming problems. El-Sayed M.E. Mostafa. Department of Mathematics, Faculty of Science, Alexandria Univ ...

We present a nonlinear programming model that considers free rotations of the polygons and of the separation lines. This model uses a considerable smaller number of variables than the few other ...

Google researchers introduce PDLP (Primal-Dual Hybrid Gradient enhanced for Linear Programming), a new solver built on the restarted PDHG algorithm. PDLP uses matrix-vector multiplication instead of ...

D-Wave Introduces New Hybrid Quantum Solver for 'Nonlinear Programs' to Tackle Real-World Problems of Growing Complexity. Burnaby, BC, June 17, 2024--D-Wave Quantum Inc., a leader in quantum computing ...