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\alias{image,ltTMatrix-method}
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\alias{image,ltTMatrix-method}
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\alias{t,lgCMatrix-method}
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\alias{t,lgCMatrix-method}
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\alias{t,lgTMatrix-method}
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\alias{t,lgTMatrix-method}
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\alias{t,lsCMatrix-method}
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\alias{t,lsCMatrix-method}
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\alias{t,ltCMatrix-method}
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\alias{t,ltCMatrix-method}
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\alias{tcrossprod,lgCMatrix-method}
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\alias{tcrossprod,lgCMatrix,missing-method}
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\alias{tcrossprod,lgTMatrix-method}
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\alias{tcrossprod,lgTMatrix,missing-method}
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\alias{tcrossprod,lsparseMatrix-method}
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\alias{tcrossprod,lsparseMatrix,missing-method}
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\title{Sparse logical matrices}
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\title{Sparse logical matrices}
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\description{The \code{lsparseMatrix} class is a virtual class of sparse
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\description{The \code{lsparseMatrix} class is a virtual class of sparse
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  matrices with \code{TRUE}/\code{FALSE} entries.  Only the positions of the
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  matrices with \code{TRUE}/\code{FALSE} entries.  Only the positions of the
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  elements that are \code{TRUE} are stored.  These can be stored in the
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  elements that are \code{TRUE} are stored.  These can be stored in the
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  ``triplet'' form (classes \code{lgTMatrix}, \code{lsTMatrix}, and
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  ``triplet'' form (classes \code{lgTMatrix}, \code{lsTMatrix}, and