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  2. Fold (higher-order function) - Wikipedia

    en.wikipedia.org/wiki/Fold_(higher-order_function)

    Folds can be regarded as consistently replacing the structural components of a data structure with functions and values. Lists, for example, are built up in many functional languages from two primitives: any list is either an empty list, commonly called nil ([]), or is constructed by prefixing an element in front of another list, creating what is called a cons node ( Cons(X1,Cons(X2,Cons ...

  3. Comparison of Java and C++ - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_Java_and_C++

    C++ (pre-C++11) does not specify whether or not these operators truncate to zero or "truncate to -infinity". -3/2 will always be -1 in Java and C++11, but a C++03 compiler may return either -1 or -2, depending on the platform. C99 defines division in the same fashion as Java and C++11.

  4. Operators in C and C++ - Wikipedia

    en.wikipedia.org/wiki/Operators_in_C_and_C++

    The following table describes the precedence and associativity of the C and C++ operators. Operators are shown in groups of equal precedence with groups ordered in descending precedence from top to bottom (lower order is higher precedence). [8] [9] [10] Operator precedence is not affected by overloading.

  5. Repeat-accumulate code - Wikipedia

    en.wikipedia.org/wiki/Repeat-accumulate_code

    Irregular repeat accumulate (IRA) codes build on top of the ideas of RA codes. IRA replaces the outer code in RA code with a low density generator matrix code. [1] IRA codes first repeats information bits different times, and then accumulates subsets of these repeated bits to generate parity bits.

  6. Multiply–accumulate operation - Wikipedia

    en.wikipedia.org/wiki/Multiply–accumulate...

    That is, where an unfused multiply–add would compute the product b × c, round it to N significant bits, add the result to a, and round back to N significant bits, a fused multiply–add would compute the entire expression a + (b × c) to its full precision before rounding the final result down to N significant bits.

  7. Automatic vectorization - Wikipedia

    en.wikipedia.org/wiki/Automatic_vectorization

    Here, c[i:i+3] represents the four array elements from c[i] to c[i+3] and the vector processor can perform four operations for a single vector instruction. Since the four vector operations complete in roughly the same time as one scalar instruction, the vector approach can run up to four times faster than the original code.

  8. Run-time type information - Wikipedia

    en.wikipedia.org/wiki/Run-time_type_information

    In computer programming, run-time type information or run-time type identification (RTTI) [1] is a feature of some programming languages (such as C++, [2] Object Pascal, and Ada [3]) that exposes information about an object's data type at runtime. Run-time type information may be available for all types or only to types that explicitly have it ...

  9. Comparison of C Sharp and Java - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_C_Sharp_and_Java

    The designers chose to address this problem with a four-step solution: 1) Introducing a compiler switch that indicates if Java 1.4 or later should be used, 2) Only marking assert as a keyword when compiling as Java 1.4 and later, 3) Defaulting to 1.3 to avoid rendering prior (non 1.4 aware code) invalid and 4) Issue warnings, if the keyword is ...

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