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  2. 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 ...

  3. 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 ...

  4. 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.

  5. 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.

  6. 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.

  7. 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 ...

  8. Senator says Trump cannot ignore law requiring ByteDance to ...

    www.aol.com/news/senator-says-trump-cannot...

    WASHINGTON (Reuters) -President-elect Donald Trump cannot ignore a law requiring Chinese-based ByteDance to divest its popular short video app TikTok in the U.S. by early next year or face a ban ...

  9. The Design of an Optimizing Compiler - Wikipedia

    en.wikipedia.org/wiki/The_Design_of_an...

    It describes the BLISS optimizing compiler for the PDP-11, written at Carnegie Mellon University in the early 1970s. The compiler ran on a PDP-10 and was one of the first to produce well-optimized code for a minicomputer. Because of its elegant design and the quality of the generated code, the compiler and book remain classics in the compiler ...