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\alias{lsRMatrix-class}
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\alias{lsRMatrix-class}
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\alias{lgTMatrix-class}
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\alias{lgTMatrix-class}
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\alias{ltTMatrix-class}
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\alias{ltTMatrix-class}
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\alias{lsTMatrix-class}
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\alias{lsTMatrix-class}
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\alias{\%*\%,lgCMatrix,lgCMatrix-method}
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\alias{\%*\%,lgCMatrix,lgCMatrix-method}
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\alias{chol,lsCMatrix,logical-method}
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\alias{chol,lsCMatrix,missing-method}
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\alias{coerce,dgCMatrix,lgCMatrix-method}
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\alias{coerce,dgCMatrix,lgCMatrix-method}
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\alias{coerce,lgCMatrix,dgCMatrix-method}
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\alias{coerce,lgCMatrix,dgCMatrix-method}
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\alias{coerce,lgCMatrix,lgTMatrix-method}
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\alias{coerce,lgTMatrix,lgCMatrix-method}
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\alias{coerce,lsCMatrix,dsCMatrix-method}
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\alias{coerce,lsCMatrix,dsCMatrix-method}
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\alias{coerce,ltCMatrix,dtCMatrix-method}
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\alias{crossprod,lgCMatrix,missing-method}
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\alias{crossprod,lgCMatrix,missing-method}
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\alias{crossprod,lgTMatrix,missing-method}
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\alias{image,lgCMatrix-method}
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\alias{image,lsCMatrix-method}
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\alias{image,ltCMatrix-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,lsCMatrix-method}
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\alias{t,ltCMatrix-method}
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\alias{tcrossprod,lgCMatrix-method}
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\alias{tcrossprod,lgCMatrix-method}
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\alias{tcrossprod,lgTMatrix-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