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If you're having problems sending messages in AOL Mail, it could be for one of several reasons. Most sending issues can be fixed with a couple of quick troubleshooting steps.
This is a list of Hypertext Transfer Protocol (HTTP) response status codes. Status codes are issued by a server in response to a client's request made to the server. It includes codes from IETF Request for Comments (RFCs), other specifications, and some additional codes used in some common applications of the HTTP.
In computing, an error code (or a return code) is a numeric or alphanumeric code that indicates the nature of an error and, when possible, why it occurred. [1] Error codes can be reported to end users of software, returned from communication protocols, or used within programs as a method of representing anomalous conditions.
An error message is the information displayed when an unforeseen problem occurs, usually on a computer or other device. Modern operating systems with graphical user interfaces, often display error messages using dialog boxes.
Definitions. Error detection is the detection of errors caused by noise or other impairments during transmission from the transmitter to the receiver. Error correction is the detection of errors and reconstruction of the original, error-free data.
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]
A kernel panic (sometimes abbreviated as KP [1]) is a safety measure taken by an operating system 's kernel upon detecting an internal fatal error in which either it is unable to safely recover or continuing to run the system would have a higher risk of major data loss.
Segmentation faults are a common class of error in programs written in languages like C that provide low-level memory access and few to no safety checks. They arise primarily due to errors in use of pointers for virtual memory addressing, particularly illegal access.
Type I and type II errors. In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false.