README
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goexperiment
Documentation
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Source Files
Directories
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| Path | Synopsis |
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cmd
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algene
command
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target
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outer/expertpar
command
* outer: outer product * * input: * vector: a vector of (x, y) points * nelts: the number of points * * output: * matrix: a real matrix, whose values are filled with inter-point * distances * vector: a real vector, whose values are filled with origin-to-point * distances
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* outer: outer product * * input: * vector: a vector of (x, y) points * nelts: the number of points * * output: * matrix: a real matrix, whose values are filled with inter-point * distances * vector: a real vector, whose values are filled with origin-to-point * distances |
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outer/expertseq
command
* outer: outer product * * input: * vector: a vector of (x, y) points * nelts: the number of points * * output: * matrix: a real matrix, whose values are filled with inter-point * distances * vector: a real vector, whose values are filled with origin-to-point * distances
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* outer: outer product * * input: * vector: a vector of (x, y) points * nelts: the number of points * * output: * matrix: a real matrix, whose values are filled with inter-point * distances * vector: a real vector, whose values are filled with origin-to-point * distances |
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product/expertpar
command
* product: matrix-vector product * * input: * nelts: the number of elements * matrix: the real matrix * vector: the real vector * * output: * result: a real vector, whose values are the result of the product
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* product: matrix-vector product * * input: * nelts: the number of elements * matrix: the real matrix * vector: the real vector * * output: * result: a real vector, whose values are the result of the product |
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product/expertseq
command
* product: matrix-vector product * * input: * nelts: the number of elements * matrix: the real matrix * vector: the real vector * * output: * result: a real vector, whose values are the result of the product
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* product: matrix-vector product * * input: * nelts: the number of elements * matrix: the real matrix * vector: the real vector * * output: * result: a real vector, whose values are the result of the product |
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randmat/expertpar
command
* randmat: random number generation * * input: * nrows, ncols: the number of rows and columns * s: the seed * * output: * martix: a nrows x ncols integer matrix *
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* randmat: random number generation * * input: * nrows, ncols: the number of rows and columns * s: the seed * * output: * martix: a nrows x ncols integer matrix * |
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randmat/expertseq
command
* randmat: random number generation * * input: * nrows, ncols: the number of rows and columns * s: the seed * * output: * martix: a nrows x ncols integer matrix *
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* randmat: random number generation * * input: * nrows, ncols: the number of rows and columns * s: the seed * * output: * martix: a nrows x ncols integer matrix * |
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thresh/expertpar
command
* thresh: histogram thresholding * * input: * matrix: the integer matrix to be thresholded * nrows, ncols: the number of rows and columns * percent: the percentage of cells to retain * * output: * mask: a boolean matrix filled with true for cells that are kept *
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* thresh: histogram thresholding * * input: * matrix: the integer matrix to be thresholded * nrows, ncols: the number of rows and columns * percent: the percentage of cells to retain * * output: * mask: a boolean matrix filled with true for cells that are kept * |
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thresh/expertseq
command
* thresh: histogram thresholding * * input: * matrix: the integer matrix to be thresholded * nrows, ncols: the number of rows and columns * percent: the percentage of cells to retain * * output: * mask: a boolean matrix filled with true for cells that are kept *
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* thresh: histogram thresholding * * input: * matrix: the integer matrix to be thresholded * nrows, ncols: the number of rows and columns * percent: the percentage of cells to retain * * output: * mask: a boolean matrix filled with true for cells that are kept * |
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winnow/expertpar
command
* winnow: weighted point selection * * input: * matrix: an integer matrix, whose values are used as masses * mask: a boolean matrix showing which points are eligible for * consideration * nrows, ncols: the number of rows and columns * nelts: the number of points to select * * output: * points: a vector of (x, y) points *
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* winnow: weighted point selection * * input: * matrix: an integer matrix, whose values are used as masses * mask: a boolean matrix showing which points are eligible for * consideration * nrows, ncols: the number of rows and columns * nelts: the number of points to select * * output: * points: a vector of (x, y) points * |
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winnow/expertseq
command
* winnow: weighted point selection * * input: * matrix: an integer matrix, whose values are used as masses * mask: a boolean matrix showing which points are eligible for * consideration * nrows, ncols: the number of rows and columns * nelts: the number of points to select * * output: * points: a vector of (x, y) points * :b
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* winnow: weighted point selection * * input: * matrix: an integer matrix, whose values are used as masses * mask: a boolean matrix showing which points are eligible for * consideration * nrows, ncols: the number of rows and columns * nelts: the number of points to select * * output: * points: a vector of (x, y) points * :b |
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