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GraphBLAS

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A sparse linear algebra library implementing may of the ideas from the GraphBLAS Forum in Go.

Supports float32 and float64 types

array := [][]float64{
		[]float64{0, 0, 0, 1, 0, 0, 0},
		[]float64{1, 0, 0, 0, 0, 0, 0},
		[]float64{0, 0, 0, 1, 0, 1, 1},
		[]float64{1, 0, 0, 0, 0, 0, 1},
		[]float64{0, 1, 0, 0, 0, 0, 1},
		[]float64{0, 0, 1, 0, 1, 0, 0},
		[]float64{0, 1, 0, 0, 0, 0, 0},
    }
    
g := f64.NewDenseMatrixFromArray(array)

atx := breadthfirst.Search(context.Background(), g, 3, func(i f64.Vector) bool {
    return i.AtVec(5) == 1
})

graphblas's People

Contributors

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