Solver Configurations
The Solver Configurations node () contains all solver configurations defined for a study (see Figure 20-1). It displays if it has content, or — to make the node available in the context menu — click the Show More Options button () and select Solver and Job Configurations in the Show More Options dialog box.
A model is solved by computing a solver configuration — a scheme for computing a solution. A solver configuration is represented by a Solution node () which stores both a sequence of subnodes, specifying how to compute the solution, and the solution itself — once it has been computed. Typically, such a solver configuration contains information about which configuration to use for physics interfaces, geometry, and mesh, which variables to solve for, and which solvers to use for the type of study to perform. You can also solve a model by directly computing a study; doing so first sets up a default solver configuration and, in some cases, one or more Job Configurations.
Right-click the node to choose one of these options from the context menu: Show Default Solver, Reset Solver to Default, Create Custom Solver, Create Solution Copy, and Delete Configurations.
Show Default Solver
To display the solver that corresponds to the study steps in a study and the current physics interface settings, right-click the main Study node () (or the Solver Configurations or Job Configurations nodes) and select Show Default Solver (). See Solver Suggestions for information about physics-specific solver suggestions in the default solver.
Reset Solver to Default
To reset a solver configuration to the default sequence for the current study steps and settings in the parent study, right-click the solver configuration node and select Reset Solver to Default (). The solver sequence under the solver configuration node is then reset to the default solver settings that you get when you select Show Default Solver and that the study uses if you have not made any changes to the solver settings. Using Reset Solver to Default can be useful if you have tried various solver settings and want to return to the default solvers without having to create a new solver configuration.
You can also right-click individual study step nodes and choose Reset Solver to Default for Selected Step to only reset the solver settings in the currently enabled solver configuration to the default for that study step.
Create Custom Solver
From the main menu, click the Show More Options button () and select Study and Job Configurations in the Show More Options dialog box. Then right-click the Solver Configurations node and choose Create Custom Solver (). This adds a Solution node without any added solver settings or other nodes. Use this option if you want to create a fully user-defined custom solver scheme.
Create Solution Copy
To create a copy of the solution dataset, right-click the main Study node () or the Solver Configurations node () and select Create Solution Copy (). A copy of the solution then appears as a Solution - Copy node () under Solver Configurations and a corresponding Solution - Copy dataset () under Datasets in the Results branch. This can be useful if you want to rerun the simulation with some changes to the model or solver settings. The first solution is then available in the Solution - Copy dataset so that you can postprocess and analyze multiple solutions. You can also right-click a Solution node () under Solver Configurations and choose Solution>Copy () to create a copy of the solution dataset for that solution.
Delete Configurations
Select Delete Configurations  () to delete all solvers under the Solver Configurations node.
Selecting a Cluster Storage Format
Under Solver Configurations, right-click a Solution node and choose Solution>Store on a Single Node to specify that the solution should only be stored on a single cluster node. Choose Solution>Store on All Nodes if the solution should be stored on all cluster nodes. Choose Solution>Store Solution Using Distributed Storage if the solution should be stored using a distributed storage on clusters, which can improve performance using parallel I/O.