A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

In recent years, optimization methods based on numerical simulations have been widely employed for the optimization of various components of centrifugal compressors.

An algorithm for the numerical solution of optimal control problems is developed which is based on a combination of the direct and indirect approaches. The method presented is similar to the indirect ...

New ultrasound imaging and therapeutic modalities may require transducer designs that are not readily facilitated by conventional design guidelines and analytical expressions. This motivates the ...

Simple Numerical Optimization Using an Evolutionary Algorithm with C# Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms ...

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Therefore, this article takes a large axial fan, combined with parameterization methods to optimize the IGVs. Based on numerical simulation analysis, the multiple-response Gaussian process (MRGP) ...

The optimization algorithm was a combination of the least squares method and Excel’s Solver command. Using the individual PSD of each aggregate, the simulations calculated the optimal aggregate ...