• Big O notation - Wikipedia, the free encyclopedia
  In computer science, big O notation is used to classify algorithms by how they respond to changes in input size, such as how the processing time of an algorithm changes as the problem size becomes extremely large.[3] In analytic number theory it is used to estimate the "error committed" while replacing the asymptotic size of an arithmetical function by the value it takes at a large finite argument. A famous example is the problem of estimating the remainder term in the prime number theorem.
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• Error hiding - Wikipedia, the free encyclopedia
  Error hiding is an anti-pattern in computer programming. The programmer hides error messages by overriding them with exception handling. As a result of this the root error message is hidden from the user (hence 'error hiding') and so they will not be told what the actual error is. Error hiding is a bane of support engineers' jobs as it often delays the resolution of the problem by hiding information needed to identify what is going wrong.
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• Knuth: Computer Programming as an Art
  Knuth: Computer Programming as an Art
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• Duplicate code - Wikipedia, the free encyclopedia
  Duplicate code is a computer programming term for a sequence of source code that occurs more than once, either within a program or across different programs owned or maintained by the same entity. Duplicate code is generally considered undesirable for a number of reasons.[1] A minimum requirement is usually applied to the quantity of code that must appear in a sequence for it to be considered duplicate rather than coincidentally similar. Sequences of duplicate code are sometimes known as code clones or just clones, the automated process of finding duplications in source code is called clone detection.
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• Two Is An Impossible Number
  Two Is An Impossible Number "Don't worry, Bender. There's no such thing as two."
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• Analyzing Computer System Performance with Perl::PDQ
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computer from all users