Tacit programming

Tacit functions apply to implicit arguments following a small set of rules. This is in contrast to the explicit use of arguments in dfns and tradfns (which have named arguments). Known dialects which implement trains are Dyalog APL, dzaima/APL, ngn/apl and NARS2000.

Primitives
All primitive functions are tacit. Some APLs allow primitive functions to be named.

Derived functions
Functions derived from a monadic operator and an operand, or from a dyadic operator and two operands are tacit functions:

Derived operators
A dyadic operator with its right operand forms a tacit monadic operator:

Trains
A train is a series of functions in isolation. An isolated function is either surrounded by parentheses or named. Below,  and   refer to the arguments of the train. ,, and   are function (which themselves can be tacit or not), and   is an array. The arguments are processed by the following rules:

A 2-train is an atop: A 3-train is a fork:

The left tine of a fork can be an array:

Only dzaima/APL allows, which it treats as.

Examples
One of the major benefits of tacit programming is the ability to convey a short, well-defined idea as an isolated expression. This aids both human readability (semantic density) and the computer's ability to interpret code, potentially executing special code for particular idioms.

Fractions
We can convert decimal numbers to fractions. For example, we can convert $$2.625$$ to the improper fraction $$21\over 8$$ with Alternatively, we can convert it to the mixed fraction $$2{5\over 8}$$ with A mixed fraction:

Component of a vector in the direction of another vector
Sometimes a train can make an expression nicely resemble its equivalent definition in traditional mathematical notation. As an example, here is a program to compute the component of a vector $$\textbf{a}$$ in the direction of another vector $$\textbf{b}$$:
 * $$\textbf{a}_\textbf{b} = (\textbf{a}\cdot\hat{\textbf{b}})\hat{\textbf{b}}$$

For a more parallel comparison of the notations, see the comparison with traditional mathematics.

Tutorials

 * APL Cultivation: Transcribing to and reading trains
 * APLtrainer: How to read trains in Dyalog APL code (video)
 * APLtrainer: Function trains in APL (video)
 * Dyalog Webinar: Train Spotting in Dyalog APL (video)

Documentation

 * Announcement
 * Dyalog