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The following list is a first attempt to catalogue and describe systematically the British Museum's extensive holdings of early opera librettos and related plays. The great importance of these unpretentious booklets as supplementary and, more often than not, even primary sources for the history and bibliography of dramatic music, besides or instead of the scores, was already clearly recognized in the eighteenth century by Dr. Burney and other scholars. But it is only since 1914, the year in which O. G. T. Sonneck's Library of Congress Catalogue of opera librettos printed before 1800 appeared, that their documentary value could to any greater extent be put to general use in international musicological research. A similar bibliography of the British Museum librettos, while naturally duplicating many Washington entries, would produce a great number of additional tides, not a few of them otherwise unrecorded; it would provide the musical scholar with the key to a collection unequalled elsewhere in Europe, which owing to the peculiar nature of the material is not easily accessible by means of the General Catalogue.

An area of great interest in current computational fluid dynamics research is that of free-surface modelling (FSM). Semi-implicit pressure-based FSM flow solvers typically involve the solution of a pressure correction equation. The latter being computationally intensive, the purpose of this paper is to involve the implementation and enhancement of an algebraic multigrid (AMG) method for its solution.

All AMG components were implemented via object-oriented C++ in a manner which ensures linear computational scalability and matrix-free storage. The developed technology was evaluated in two- and three-dimensions via application to a dam-break test case.

AMG performance was assessed via comparison of CPU cost to that of several other competitive sparse solvers. The standard AMG implementation proved inferior to other methods in three-dimensions, while the developed Freeze version achieved significant speed-ups and proved to be superior throughout.

A so-called Freeze method was developed to address the computational overhead resulting from the dynamically changing coefficient matrix. The latter involves periodic AMG setup steps in a manner that results in a robust and efficient black-box solver.