APL.SV

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APL.SV, "APL with Shared Variables", was an enhancement to APL\360 released by IBM in 1973. As the name suggests, APL.SV introduced the concept of a shared variable which could be used by multiple processes. It also included system variables as a kind of shared variable, and system functions. APL.SV also introduced the Format and Execute functions, and the Scan operator.

The enhancements to APL described herein are the result of more than six years of personal experience with APL\360, and countless comments and suggestions from many other users. The shared variable concept goes back in principle to early publication by Falkoff and Iverson, but is was R. H. Lathwell who recognized the practical potential of the idea and, with L. A. Morrow, designed an effective data processing facility based upon it. The system was implemented by Lathwell, Morrow, J. A. Brown, and C. F. Shen, all of whom contributed to the design of the other new features as well. R. J. Creasy first proposed the use of surrogate names.

APLSV User's Manual[1]

Primitives

Functions

Glyph Monadic Dyadic
<source lang=apl inline>+</syntaxhighlight> Plus (Identity) Plus
<source lang=apl inline>-</syntaxhighlight> Negative Minus
<source lang=apl inline>×</syntaxhighlight> Signum Times
<source lang=apl inline>÷</syntaxhighlight> Reciprocal Divide
<source lang=apl inline>⌈</syntaxhighlight> Ceiling Maximum
<source lang=apl inline>⌊</syntaxhighlight> Floor Minimum
<source lang=apl inline>*</syntaxhighlight> Exponential Power
<source lang=apl inline>⍟</syntaxhighlight> Natural logarithm Logarithm
</syntaxhighlight> Magnitude Residue
<source lang=apl inline>!</syntaxhighlight> Factorial Binomial coefficient
<source lang=apl inline>?</syntaxhighlight> Roll Deal
<source lang=apl inline>○</syntaxhighlight> Pi times Circular
<source lang=apl inline>~</syntaxhighlight> Not
<source lang=apl inline>∧</syntaxhighlight> And
<source lang=apl inline>∨</syntaxhighlight> Or
<source lang=apl inline>⍲</syntaxhighlight> Nand
<source lang=apl inline>⍱</syntaxhighlight> Nor
<source lang=apl inline><</syntaxhighlight> Less
<source lang=apl inline>≤</syntaxhighlight> Not greater
<source lang=apl inline>=</syntaxhighlight> Equal
<source lang=apl inline>≥</syntaxhighlight> Not less
<source lang=apl inline>></syntaxhighlight> Greater
<source lang=apl inline>≠</syntaxhighlight> Not equal
<source lang=apl inline>⍴</syntaxhighlight> Size Reshape
<source lang=apl inline>,</syntaxhighlight> Ravel Catenate, Laminate (allows axis)
<source lang=apl inline>[]</syntaxhighlight> Index
<source lang=apl inline>⍳</syntaxhighlight> Index generator Index of
<source lang=apl inline>↑</syntaxhighlight> Take
<source lang=apl inline>↓</syntaxhighlight> Drop
<source lang=apl inline>⍋</syntaxhighlight> Grade up (allows axis)
<source lang=apl inline>⍒</syntaxhighlight> Grade down (allows axis)
<source lang=apl inline>/</syntaxhighlight> Compress
(allows axis)
<source lang=apl inline>⌿</syntaxhighlight>
<source lang=apl inline>\</syntaxhighlight> Expand
(allows axis)
<source lang=apl inline>⍀</syntaxhighlight>
<source lang=apl inline>⌽</syntaxhighlight> Reverse
(allows axis)
Rotate
(allows axis)
<source lang=apl inline>⊖</syntaxhighlight>
<source lang=apl inline>⍉</syntaxhighlight> Transpose
<source lang=apl inline>∊</syntaxhighlight> Membership
<source lang=apl inline>⊥</syntaxhighlight> Decode
<source lang=apl inline>⊤</syntaxhighlight> Encode
<source lang=apl inline>⌹</syntaxhighlight> Matrix inverse Matrix division
<source lang=apl inline>⍎</syntaxhighlight> Execute
<source lang=apl inline>⍕</syntaxhighlight> Monadic format Dyadic format

Operators

Glyph Valence Monadic call Dyadic call
<source lang=apl inline>/</syntaxhighlight> Monadic Reduction
(allows axis)
<source lang=apl inline>⌿</syntaxhighlight> Monadic
<source lang=apl inline>\</syntaxhighlight> Monadic Scan
(allows axis)
<source lang=apl inline>⍀</syntaxhighlight> Monadic
<source lang=apl inline>.</syntaxhighlight> Dyadic Inner product
<source lang=apl inline>∘.</syntaxhighlight> Monadic Outer product
<source lang=apl inline>[]</syntaxhighlight> Monadic Axis

References

APL dialects [edit]
Maintained APL+WinAPL2APL64APL\ivApletteAprilCo-dfnsDyalog APLDyalog APL Visiondzaima/APLGNU APLKapNARS2000PometoTinyAPL
Historical A Programming LanguageA+ (A) ∙ APL#APL2CAPL\360APL/700APL\1130APL\3000APL.68000APL*PLUSAPL.jlAPL.SVAPLXExtended Dyalog APLIverson notationIVSYS/7090NARSngn/aplopenAPLOperators and FunctionsPATRowanSAXSHARP APLRationalized APLVisualAPL (APLNext) ∙ VS APLYork APL
Derivatives AHPLBQNCoSyELIGleeIIvyJJellyK (Goal, Klong, Q) ∙ KamilaLispLang5LilNialRADUiua
Overviews Comparison of APL dialectsTimeline of array languagesTimeline of influential array languagesFamily tree of array languages