Titlebook: ESOP ‘90; 3rd European Symposi Neil Jones Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990 Algebra.D programming language

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avenge

Michael R. Payne,Suzanne E. Rudnickdata and code, in Lamping‘s programming system can be parameterized, and a parameterized object can be manipulated as if it were a ground object. This blurs the distinction between data and code, allowing one to think of data as code and vice versa.

LAST

Higher order escape analysis: Optimizing stack allocation in functional program implementations,been described in various data-flow analysis frameworks for a language with complex types. The analysis described here, being higher order, provides more accurate escape information, although for a very simple higher order functional language.

cogent

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On the expressive power of programming languages,xpressive power of several extensions of functional languages. Based on these results, we believe that our system correctly captures many of the informal ideas on expressiveness, and that it constitutes a good basis for further research in this direction.

Rebate

Set domains,a set through a predicate. Two constructions, the . and the ., are proposed that support the desired set operations. The big domain is bounded complete, whereas the small one only respects Plotkin‘s SFP-property. Both constructions are free with respect to suitable algebraic theories.

assail

Gesture

Graph-based implementation of a functional logic language,en formally specified. A prototype emulator of the machine has been implemented in Occam on a transputer system. Future work is planned for incorporating lazy evaluation and parallelism to the machine.

kidney

Conference proceedings 1990; - Language implementation techniques: compilers, interpreters, abstract machine design, optimization; - Programs as data objects: abstract interpretation, program transformation, partial evaluation; - Programming styles: imperative, functional, predicative, object-oriented.

臆断

Symbolic finite differencing - Part I, integration). Because resource utilization is often difficult to predict precisely, the economics of software developement also depends on the risk of the implementation failing to meet its performance requirements. Consequently, complex algorithms are frequently avoided in large systems — even in