Overview

Programming frequently requires that problems are broken down into subproblems and then each subproblem solved independently. These solutions may then be combined to provide a solution to the original problem. Partial evaluation is a serious attempt to tackle this issue, allowing the programmer to write programs in a highly interpretive style without paying the price in efficiency. This thesis covers the theory and practice behind practical evaluation.

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9780511569814

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"""...a fascinating blend of a long pragmatic tradition in the art of writing partial evaluators with ML-style polymorphism and a dash of categorical concepts. The writing is exceptionally good and so I recommend this book also as a fine place to learn about partial evaluation."" David B. Benson, Mathematical Reviews"

...a fascinating blend of a long pragmatic tradition in the art of writing partial evaluators with ML-style polymorphism and a dash of categorical concepts. The writing is exceptionally good and so I recommend this book also as a fine place to learn about partial evaluation. David B. Benson, Mathematical Reviews

...a fascinating blend of a long pragmatic tradition in the art of writing partial evaluators with ML-style polymorphism and a dash of categorical concepts. The writing is exceptionally good and so I recommend this book also as a fine place to learn about partial evaluation. David B. Benson, Mathematical Reviews

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