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New functionality in blockops, a Mata library for efficient operations on block matrices

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  • Daniel C. Schneider

    (MPIDR, Rostock)

Abstract

In Schneider (2025), a new Mata library called blockops was introduced. The library serves two main purposes. First, it provides a simple approach for working with a particular class of sparse matrices: submatrices consisting entirely of zeros are represented by null pointers and are excluded from arithmetic operations. Second, it allows the application of a built-in (official) Mata library, or user-defined functions to each submatrix, in a manner similar to, for example, R’s apply() family of functions. This presentation revisits the core ideas underlying blockops and then outlines recent developments. Key efficiency concerns have been addressed, and numerous new methods have been added to the library’s central object, which represents a block matrix. The practical usefulness of the extended functionality is illustrated through several examples.

Suggested Citation

  • Daniel C. Schneider, 2026. "New functionality in blockops, a Mata library for efficient operations on block matrices," German Stata Conference 2026 08, Stata Users Group.
    • Handle: RePEc:boc:dsug26:08
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