Showing 6 open source projects for "sparse matrix"

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  • 1
    Rotations.jl

    Rotations.jl

    Julia implementations for different rotation parameterizations

    ...This package implements various 3D rotation parameterizations and defines conversions between them. At their heart, each rotation parameterization is a 3×3 unitary (orthogonal) matrix (based on the StaticArrays.jl package), and acts to rotate a 3-vector about the origin through matrix-vector multiplication. While the RotMatrix type is a dense representation of a 3×3 matrix, we also have sparse (or computed, rather) representations such as quaternions, angle-axis parameterizations, and Euler angles. All rotation types support one(R) to construct the identity rotation for the desired parameterization.
    Downloads: 8 This Week
    Last Update:
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  • 2
    libCEED

    libCEED

    CEED Library: Code for Efficient Extensible Discretizations

    ...While our focus is on high-order finite elements, the approach is mostly algebraic and thus applicable to other discretizations in factored form, as explained in the user manual and API implementation portion of the documentation. One of the challenges with high-order methods is that a global sparse matrix is no longer a good representation of a high-order linear operator, both with respect to the FLOPs needed for its evaluation, as well as the memory transfer needed for a matvec. Thus, high-order methods require a new "format" that still represents a linear (or more generally non-linear) operator, but not through a sparse matrix.
    Downloads: 7 This Week
    Last Update:
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  • 3
    DiffEqOperators.jl

    DiffEqOperators.jl

    Linear operators for discretizations of differential equations

    ...Care is taken to give efficiency by avoiding unnecessary allocations, using purpose-built stencil compilers, allowing GPUs and parallelism, etc. Any operator can be concretized as an Array, a BandedMatrix or a sparse matrix.
    Downloads: 3 This Week
    Last Update:
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  • 4
    Universal Java Matrix Package

    Universal Java Matrix Package

    sparse and dense matrix, linear algebra, visualization, big data

    The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too.
    Downloads: 0 This Week
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  • 5
    MAtrix Sparse not much Computational Toolkit
    Downloads: 0 This Week
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  • 6
    JMatrixView is aJava/Swing matrix viewer. It works with Colt matrix implementation. It features dynamically tunable row/column resolution and has been designed for sparse matrix.
    Downloads: 0 This Week
    Last Update:
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