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  2. Optimizing compiler - Wikipedia

    en.wikipedia.org/wiki/Optimizing_compiler

    Research indicates that some optimization problems are NP-complete, or even undecidable. [2] In general, optimization cannot produce optimal output, which is unobtainable because optimizing for one aspect may degrade performance for another. Instead, optimizations are heuristic methods for improving resource usage in typical programs. [3]: 585

  3. Effective method - Wikipedia

    en.wikipedia.org/wiki/Effective_method

    In logic, mathematics and computer science, especially metalogic and computability theory, an effective method [1] or effective procedure is a procedure for solving a problem by any intuitively 'effective' means from a specific class. [2] An effective method is sometimes also called a mechanical method or procedure. [3]

  4. Theoretical computer science - Wikipedia

    en.wikipedia.org/wiki/Theoretical_computer_science

    Usually, efficient data structures are key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory.

  5. Partial-redundancy elimination - Wikipedia

    en.wikipedia.org/wiki/Partial-redundancy_elimination

    In compiler theory, partial redundancy elimination (PRE) is a compiler optimization that eliminates expressions that are redundant on some but not necessarily all paths through a program. PRE is a form of common subexpression elimination.

  6. Computability - Wikipedia

    en.wikipedia.org/wiki/Computability

    Computability is the ability to solve a problem in an effective manner. It is a key topic of the field of computability theory within mathematical logic and the theory of computation within computer science. The computability of a problem is closely linked to the existence of an algorithm to solve the problem.

  7. Program optimization - Wikipedia

    en.wikipedia.org/wiki/Program_optimization

    When efficiency and size are less important large parts may be written in a high-level language. With more modern optimizing compilers and the greater complexity of recent CPUs, it is harder to write more efficient code than what the compiler generates, and few projects need this "ultimate" optimization step.

  8. Loop optimization - Wikipedia

    en.wikipedia.org/wiki/Loop_optimization

    In compiler theory, loop optimization is the process of increasing execution speed and reducing the overheads associated with loops.It plays an important role in improving cache performance and making effective use of parallel processing capabilities.

  9. Algorithmic efficiency - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_efficiency

    In computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or continuous process. For maximum efficiency it is desirable to minimize resource usage.