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  2. Compilers: Principles, Techniques, and Tools - Wikipedia

    en.wikipedia.org/wiki/Compilers:_Principles...

    First published in 1986, it is widely regarded as the classic definitive compiler technology text. [2] It is known as the Dragon Book to generations of computer scientists [3] [4] as its cover depicts a knight and a dragon in battle, a metaphor for conquering complexity. This name can also refer to Aho and Ullman's older Principles of Compiler ...

  3. Algorithmic efficiency - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_efficiency

    Timsort sorts the list in time linearithmic (proportional to a quantity times its logarithm) in the list's length ((⁡)), but has a space requirement linear in the length of the list (()). If large lists must be sorted at high speed for a given application, timsort is a better choice; however, if minimizing the memory footprint of the sorting ...

  4. Principles of Compiler Design - Wikipedia

    en.wikipedia.org/wiki/Principles_of_Compiler_Design

    The book may be called the "green dragon book" to distinguish it from its successor, Aho, Sethi & Ullman's Compilers: Principles, Techniques, and Tools, which is the "red dragon book". [1] The second edition of Compilers: Principles, Techniques, and Tools added a fourth author, Monica S. Lam , and the dragon became purple; hence becoming the ...

  5. Profiling (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Profiling_(computer...

    Profiling results can be used to guide the design and optimization of an individual algorithm; the Krauss matching wildcards algorithm is an example. [5] Profilers are built into some application performance management systems that aggregate profiling data to provide insight into transaction workloads in distributed applications.

  6. Time complexity - Wikipedia

    en.wikipedia.org/wiki/Time_complexity

    For example, a procedure that adds up all elements of a list requires time proportional to the length of the list, if the adding time is constant, or, at least, bounded by a constant. Linear time is the best possible time complexity in situations where the algorithm has to sequentially read its entire input.

  7. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.

  8. Theory of computation - Wikipedia

    en.wikipedia.org/wiki/Theory_of_computation

    The theory of computation can be considered the creation of models of all kinds in the field of computer science. Therefore, mathematics and logic are used. In the last century, it separated from mathematics and became an independent academic discipline with its own conferences such as FOCS in 1960 and STOC in 1969, and its own awards such as the IMU Abacus Medal (established in 1981 as the ...

  9. Interprocedural optimization - Wikipedia

    en.wikipedia.org/wiki/Interprocedural_optimization

    The techniques of interprocedural analysis and optimization were the subject of academic research in the 1980s and 1990s. They re-emerged into the commercial compiler world in the early 1990s with compilers from both Convex Computer Corporation (the "Application Compiler" for the Convex C4) and from Ardent (the compiler for the Ardent Titan ...