Description
Scientific applications can solve large-scale numerical problems with reusable tools for linear algebra, nonlinear equations, time stepping, optimization, and parallel computation. This is useful for simulations, engineering models, research codes, and high-performance computing workflows.
It is a scientific computing toolkit and developer library, not a simple calculator. Correct results depend on the model, solver choices, numerical tolerances, and the way the application is built for the target hardware.