Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

Abstract: Much research has been devoted to complex-variable optimization problems due to their engineering applications. However, the complex-valued optimization method for solving complex-variable ...

Modern system-on-chip (SoC) performance is no longer compute-bound. It is increasingly data-movement–bound and wire-limited. For decades, SoC performance gains came from faster transistors and denser ...

Abstract: This paper develops a neural network architecture and a new processing method for solving in real time, the nonlinear equality constrained multiobjective optimization problem (NECMOP), where ...

HiOp is an optimization solver for solving certain mathematical optimization problems expressed as nonlinear programming problems. HiOp is a lightweight HPC solver that leverages application's ...

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's renowned derivative-free optimization methods, i ...

Break even and profitability analysis is a classical and widely used topic in business analysis. Break-Even Point or point of equilibrium is the point of sales volume making neither a profit nor a ...

To fully tap the abilities of renewables in reactive power optimization, this paper develops a detailed model for the power regulation capabilities of wind turbines and photovoltaic units and studies ...