For UINTAH, combining asynchronous tasking with Kokkos was crucial. One part provides resilience against delays and ensures that there is always work ready. The other part makes that execution ...

A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.

However, standard FOMs, such as the primal-dual hybrid gradient (PDHG) method, are not yet reliable for LP problems, solving only a small fraction of instances. Google researchers introduce PDLP ...

A numerical algorithm is proposed in this paper to solve a class of continuous-time linear fractional programming problems (CLFP). We shall transform (CLFP) into a continuous-time nonlinear ...

In this paper, a method is proposed to solve Fuzzy Linear Fractional Programming (FLFP) problem where cost of the objective function, the resources and the technological coefficients are triangular ...

Most of the current methods for solving linear fractional programming (LFP) problems depend on the simplex type method. In this paper, we present a new approach for solving linear fractional ...

Discover a new approach for solving linear fractional programming problems with our simple and effective method. Compare our solution with other available methods and explore numerical examples and ...