.. _DefDesign: Definition of Term: Design ========================== In order to build an :ref:`emulator` for a :ref:`simulator`, we need data comprising a :ref:`training sample` of simulator runs. The training sample design is the set of points in the space of simulator inputs at which the simulator is run. There are a number of related design contexts which arise in the :ref:`MUCM` toolkit. - A validation sample design is a set of points in the input space at which additional simulator runs are made to :ref:`validate` the emulator. - In the context of :ref:`calibrating` a simulator, we may design an observational study by specifying a set of points in the space of input values which we can control when making observations of the real-world process. - Where we have more than one simulator available, a design may specify sets of points in the input spaces of the various simulators. - For complex tasks using the emulator, a general solution is via simulated realisations of the output function :math:`f(\cdot)`. For this purpose we need a set of input configurations at which to simulate outputs, which we refer to as a realisation design. Some general remarks on design options for the core problem are discussed in the alternatives page on training sample design for the core problem (:ref:`AltCoreDesign`).