


Why Do Multidimensional Arrays Decay to Pointers Differently Than Single-Dimensional Arrays?
Oct 26, 2024 am 08:24 AMWhy Arrays Decay into Pointers Differently Depending on Dimensionality
Introduction
When working with arrays and pointers, it's important to understand how type-decay occurs. While you may expect two-dimensional arrays to decay into double pointers, this isn't always the case. Let's delve into why this happens and explore the difference in behavior.
Decay for One-Dimensional Arrays
As the test case demonstrates, one-dimensional arrays indeed decay into single pointers:
<code class="cpp">std::is_same<int*, std::decay<int[]>::type>::value; // true</code>
This is because pointer arithmetic can be performed with a single pointer.
Decay for Multi-Dimensional Arrays
However, two-dimensional arrays don't decay into double pointers:
<code class="cpp">std::is_same<int**, std::decay<int[][1]>::type>::value; // false</code>
The reason is that double pointers require additional information about the dimensions of the array. For instance, in the case of int[5][4], the compiler knows that each "inner" array has a length of 4. Casting to int (*)[4] retains this information, making pointer arithmetic possible.
However, casting to int ** loses this dimension information. It becomes simply a pointer to a pointer, which isn't enough to perform meaningful pointer arithmetic.
Understanding the Difference
Consider the following:
<code class="cpp">char *tmp = (char *)p // Work in units of bytes (char) + i * sizeof(int[4]) // Offset for outer dimension (int[4] is a type) + j * sizeof(int); // Offset for inner dimension int a = *(int *)tmp; // Back to the contained type, and dereference</code>
This code manually performs array access, demonstrating that the compiler relies on dimension information. int** doesn't provide this information, making it unsuitable for pointer arithmetic.
Conclusion
While one-dimensional arrays decay into single pointers, multi-dimensional arrays do not decay into double pointers because they lack the necessary dimension information. This behavior ensures that meaningful pointer arithmetic remains possible with single-dimension pointers.
The above is the detailed content of Why Do Multidimensional Arrays Decay to Pointers Differently Than Single-Dimensional Arrays?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Yes, function overloading is a polymorphic form in C, specifically compile-time polymorphism. 1. Function overload allows multiple functions with the same name but different parameter lists. 2. The compiler decides which function to call at compile time based on the provided parameters. 3. Unlike runtime polymorphism, function overloading has no extra overhead at runtime, and is simple to implement but less flexible.

C has two main polymorphic types: compile-time polymorphism and run-time polymorphism. 1. Compilation-time polymorphism is implemented through function overloading and templates, providing high efficiency but may lead to code bloating. 2. Runtime polymorphism is implemented through virtual functions and inheritance, providing flexibility but performance overhead.

Yes, polymorphisms in C are very useful. 1) It provides flexibility to allow easy addition of new types; 2) promotes code reuse and reduces duplication; 3) simplifies maintenance, making the code easier to expand and adapt to changes. Despite performance and memory management challenges, its advantages are particularly significant in complex systems.

C destructorscanleadtoseveralcommonerrors.Toavoidthem:1)Preventdoubledeletionbysettingpointerstonullptrorusingsmartpointers.2)Handleexceptionsindestructorsbycatchingandloggingthem.3)Usevirtualdestructorsinbaseclassesforproperpolymorphicdestruction.4

People who study Python transfer to C The most direct confusion is: Why can't you write like Python? Because C, although the syntax is more complex, provides underlying control capabilities and performance advantages. 1. In terms of syntax structure, C uses curly braces {} instead of indentation to organize code blocks, and variable types must be explicitly declared; 2. In terms of type system and memory management, C does not have an automatic garbage collection mechanism, and needs to manually manage memory and pay attention to releasing resources. RAII technology can assist resource management; 3. In functions and class definitions, C needs to explicitly access modifiers, constructors and destructors, and supports advanced functions such as operator overloading; 4. In terms of standard libraries, STL provides powerful containers and algorithms, but needs to adapt to generic programming ideas; 5

Polymorphisms in C are divided into runtime polymorphisms and compile-time polymorphisms. 1. Runtime polymorphism is implemented through virtual functions, allowing the correct method to be called dynamically at runtime. 2. Compilation-time polymorphism is implemented through function overloading and templates, providing higher performance and flexibility.

C polymorphismincludescompile-time,runtime,andtemplatepolymorphism.1)Compile-timepolymorphismusesfunctionandoperatoroverloadingforefficiency.2)Runtimepolymorphismemploysvirtualfunctionsforflexibility.3)Templatepolymorphismenablesgenericprogrammingfo

C destructorsarespecialmemberfunctionsthatautomaticallyreleaseresourceswhenanobjectgoesoutofscopeorisdeleted.1)Theyarecrucialformanagingmemory,filehandles,andnetworkconnections.2)Beginnersoftenneglectdefiningdestructorsfordynamicmemory,leadingtomemo
