NDLI: Array morphology

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Volume 24, Issue 4, June 1994

Volume 24, Issue 3, March 1994

Volume 24, Issue 2, Dec. 1993

Volume 24, Issue 1, Aug. 1993

Array morphology

The role of APL and J in high-performance computation

Approaching classical algorithms in APL2

Extending the APL character set

SCARFS, an efficient polynomial zero-finder system

The testing of an APL compiler

APL helps the deaf to hear again

Structuring functions with operators

Confessions of two APL educators learning J

A modern APL windows user interface with DOS downwards compatibility

A parallel topological feature map in APL

Talking with an APL via DDE

Extending the two-partner shared variable protocol to n partners

Building the APL atlas of natural shapes

Modern algebra self-taught through APL

Using defined operators and function arrays to solve non-linear equations in APL2

An introduction to log-linear analysis and implementing the Newton-Raphson algorithm in APL2

Distributed computing in the workstation environment

Transfinite nesting in array-theoretic figures, changes, rigs, and arms. Part I

APL programming without tears

Efficient maximum likelihood estimation of linear models with APL

Roles of APL in satellite surveillance

Extending APL2 to include program control structures

Solving two or three polynomials in two or three variables

Adaptive learning networks in APL2

Identification of parallelism in neural networks by simulation with language J.

Co-operative programming with Windows DDE

Point-wise calculus

From trees into boxes

Bayesian methods in APL

The workspace manager

Understanding ANOVA the APL way

Recent work on the Toronto toolkit

Array morphology

Content Provider	ACM Digital Library
Author	Bernecky, Robert
Abstract	Array morphology is the study of the form, structure, and evolution of arrays. An array annotation for a program written in an applicative array language is an abstract syntax tree for the program, amended with information about the arrays created by that program. Array notations are useful in the production of efficient compiled code for applicative array programs. Array morphology is shown to be an effective compiler writer's tool. Examples of an array annotator in action are presented, showing its value in array morphology. Array morphology is shown to provide methods for static detection of certain classes of programming errors.Assertions are a generalization of declarations that offer significant benefits to application writers as well as compiler writers. Although assertions are executable code, they can often be evaluated at compilation time. Assertions, and therefore declarations, may be represented as conjunctions, and are, therefore, conforming extensions to ISO Standard APL. A domain conjunction is offered as an example of how assertions might be defined in APL or J.
Starting Page	6
Ending Page	16
Page Count	11
File Format	PDF
ISSN	01636006
DOI	10.1145/166198.166200
Journal	ACM SIGAPL APL Quote Quad (APLQ)
Volume Number	24
Issue Number	1
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1988-12-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article

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