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Copy file name to clipboardexpand all lines: _data/definitions.yml
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@@ -20,7 +20,7 @@ transient_solver: "Software that finds a solution vector x(t) at time t to satis
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parallel_linear_algebra_kernels: "Software that computes results such as vector dot products (alpha = x*x') and matrix vector multiplication y = Ax on a parallel computer."
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parallel_sparse_kernels: "Software that takes into account matrix or graph sparsity, such as sparse matrix-vector multiplication and graph partition for parallel efficiency."
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parallel_sparse_kernels: "Software that takes into account matrix or graph sparsity, such as sparse matrix-vector multiplication and graph partitioning for parallel efficiency."
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optimization_solver: "Software that finds u such that u maximizes or minimizes F(u) for some function F()."
Most Trilinos algorithms and software are built upon its abilities to construct and solve
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<ahref="#"data-toggle="tooltip"data-original-title="{{site.data.definitions.sparse_problem}}">sparse problems</a>, using
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<ahref="#"data-toggle="tooltip"data-original-title="{{site.data.definitions.sparse_linear_solver}}">sparse linear solvers</a>. These solvers rely on a collection of data structure classes and functions (kernels) for
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<ahref="#"data-toggle="tooltip"data-original-title="{{site.data.definitions.parallel_linear_algebra_kernels}}">parallel linear algebra</a>, especially
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