- Works the same in Explorer (tested only on 6.0) and Netscape (tested only on Netscape 7.0 and Mozilla 1.3.1), but does not work in Opera (6.01) ***************************************************************************** */ if (document.images) { // tests for image support trilinos_title_normal = new Image(310, 55); trilinos_title_normal.src = "../../packages/common/webroot_common/trilinos_title_normal.png"; trilinos_title_over = new Image(310, 55); trilinos_title_over.src = "../../packages/common/webroot_common/trilinos_title_over.png"; sandia_normal = new Image(180, 29); sandia_normal.src = "../../packages/common/webroot_common/sandia_normal.png"; sandia_over = new Image(180, 29); sandia_over.src = "../../packages/common/webroot_common/sandia_over.png"; trilinos_normal = new Image(183, 100); trilinos_normal.src = "../../packages/common/webroot_common/trilinos_normal.png"; trilinos_over = new Image(183, 100); trilinos_over.src = "../../packages/common/webroot_common/trilinos_over.png"; } // if (document.images) //-->
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Welcome to the Intrepid Home Intrepid is a library of interoperable tools for compatible discretizations of Partial Differential Equations (PDEs). Included with the Trilinos 10.0 release is the "expert version" of Intrepid. This version is intended primarily for application developers who want to reuse large parts of their existing code frameworks such as I/O, data structures, assembly routines, etc. while gaining access to advanced discretization capabilities provided by Intrepid. In such cases the bulk of the data is owned and managed by the user rather than by Intrepid. To avoid unnecessary and possibly expensive copying of data to and from Intrepid, the expert version of the package comprises of mostly stateless classes operating on user-owned data.Virtually all numerical data required by PDE codes can be represented as a multi-dimensional array of scalar values. For this reason, and to enahnce interoprability, Intrepid classes are templated on generic multi-dimensional arrays. The Shards package provides an implementation of a multi-dimensional array that can be used for that purpose, or users can write their own multi-dimensional arrays as long as a minimal interface is supported. Overview Current release of Intrepid includes the following features:
Development plans The next release of Intrepid is expected to support Finite Difference and Finite Volume discretizations on standard and non-standard (polygon and polyhedron) cell topologies. A user-firendly version for rapid development of PDE codes is also under development.Known issues Check the Frequently Asked Questions page for information on known issues.Supplementary materials
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