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Docstrings (documentation strings), that is, strings that are located alone without assignment as the first indented line within a module, class, method or function, automatically set their contents as an attribute named __doc__, which is intended to store a human-readable description of the object's purpose, behavior, and usage.
C does not provide direct support to exception handling: it is the programmer's responsibility to prevent errors in the first place and test return values from the functions.
Common exceptions include an invalid argument (e.g. value is outside of the domain of a function), [5] an unavailable resource (like a missing file, [6] a network drive error, [7] or out-of-memory errors [8]), or that the routine has detected a normal condition that requires special handling, e.g., attention, end of file. [9]
One common choice for approximating the regression function is to use functions from a reproducing kernel Hilbert space. [2] These spaces can be infinite dimensional, in which they can supply solutions that overfit training sets of arbitrary size.
Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem.
According to A. C. Bradley, "a line may be called 'end-stopped' when the sense, as well as the metre, would naturally make one pause at its close; 'run-on' when the mere sense would lead one to pass to the next line without any pause." An example of end-stopping can be found in the following extract from The Burning Babe by Robert Southwell ...
A thought-terminating cliché (also known as a semantic stop-sign, a thought-stopper, bumper sticker logic, or cliché thinking) is a form of loaded language, often passing as folk wisdom, intended to end an argument and quell cognitive dissonance.
Suppose further that the walk stops if it reaches 0 or m ≥ a; the time at which this first occurs is a stopping time. If it is known that the expected time at which the walk ends is finite (say, from Markov chain theory), the optional stopping theorem predicts that the expected stop position is equal to the initial position a.