Sage Reference Manual: Matrices and Spaces of Matrices - Mirrors

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Sage Reference Manual: Matrices and Spaces of Matrices, Release 6.1.1 348 Chapter 18. Dense matrices over the rational field
CHAPTER NINETEEN DENSE MATRICES USING A NUMPY BACKEND. Dense matrices using a NumPy backend. This serves as a base class for dense matrices over Real Double Field and Complex Double Field. AUTHORS: • Jason Grout, Sep 2008: switch to NumPy backend, factored out the Matrix_double_dense class • Josh Kantor • William Stein: many bug fixes and touch ups. EXAMPLES: sage: b=Mat(RDF,2,3).basis() sage: b[0] [1.0 0.0 0.0] [0.0 0.0 0.0] We deal with the case of zero rows or zero columns: sage: m = MatrixSpace(RDF,0,3) sage: m.zero_matrix() [] TESTS: sage: a = matrix(RDF,2,range(4), sparse=False) sage: TestSuite(a).run() sage: a = matrix(CDF,2,range(4), sparse=False) sage: TestSuite(a).run() class sage.matrix.matrix_double_dense.Matrix_double_dense Bases: sage.matrix.matrix_dense.Matrix_dense Base class for matrices over the Real Double Field and the Complex Double Field. These are supposed to be fast matrix operations using C doubles. Most operations are implemented using numpy which will call the underlying BLAS on the system. This class cannot be instantiated on its own. The numpy matrix creation depends on several variables that are set in the subclasses. EXAMPLES: 349
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Sage Reference Manual: Matrices and Spaces of Matrices - Mirrors

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