什么是托管代码,非托管代码(.net framework)

本文详细介绍了托管代码和非托管代码的概念及其主要区别。托管代码是指针对托管运行时环境(如CLR)编写的代码,它依赖于运行时环境提供的服务进行执行,并具备垃圾回收等特性。而非托管代码则直接由操作系统执行,开发者需要自行处理内存管理等问题。
Managed Code
Managed Code is code that is written to target the services of the managed runtime execution environment (CLR). The Managed Code is always executed by managed Code runtime environment rather than OS directly. It refers to a method of exchanging information between the program and the runtime enviornment. The environment also provide the necessary security checks before executing piece of code. Managed code also get different services from the untime environment like
Garbage collection
Type Safety
Exception handling.
Bounds Checking
Therefore managed code does not have to worry about memory allocations, type safety. Applications written in java, c#, VB.net, etc target a runtime environment which manages the execution and the code written using these languages is known as managed code. Managed Code is always compiled into a intermediate languages (MSIL in Dot net).
These compiler used by .net framework to compile managed code compiles it into an intermediate language and generate necessary metadata and information.
In .Net framework managed code runs with in the .net framework’s CLR and get all services provided by CLR. After compile managed code an executable is created. When user run the executable the Just in time compiler of CLR compiles IL into native code specific to architecture of machine or machine code.
Managed Code also provides platform independence. As the managed code is first compiled to IL, the CLR’s JIT compiler takes care of compiling this IL into architecture specific instructions.
Unmanaged Code
Code that is directly executed by the operating System is known as an un-managed code. Applications written in VB 6.0, C++, C etc are all examples of unmanaged code. Unmanaged code typically targets the processors architecture and is always dependent on the computer architecture. If you want to run the same code on different architecture then you have to recompile the code using that particular architecture. Unmanaged code is always compiled to the native code. Unmanaged code does not get any services from the managed execution environment.
In unmanaged code the memory allocation, type safety, security needs to be taken care of by the developer. This makes unmanaged code prone to memory leaks like buffer over burns and pointer overrides etc.

Difference between Managed Code and Unmanaged Code
Code that targets the common language runtime is known as managed code. But unmanaged code is executed directly by operating System.
Managed Code is executed under the instruction of CLR. But unmanaged cannot executed under the instruction of CLR.
The code is understandable by CLR in case of managed. But in case of unmanaged code is not understand by CLR.
In managed code compilation process is done is two phase- Code to MSIL and then MSIL to machine language. But in case of unmanaged code, the code compilation is done in one phase, code to machine code.
Languages used in writing managed code are, Java, C#, VB.net, etc which uses runtime environment. But languages used in writing unmanaged code are vb 6.0, C++, C etc.
Managed code provides Garbage Collection or Automatic memory allocation and de-allocation. But unmanaged code does not provide memory allocation features.
Managed code also provides platform independence. But unmanaged code is platform dependence.
In case of managed code is compiled into MSIL (Microsoft intermediate Language). In case of unmanaged code, code is compiled into machine language.
Managed Code provides Type Safety. But unmanaged does not provide Type Safety.
Unmanaged code is more error prone then managed code.
In unmanaged code the memory allocation or other services needs to be taken care of by the developer. But developer is no need to take care of these services in managed code.

Key Features available to managed code applications includes.
Performance gained from executing all code in the CLR. Calling unmanaged code decrease performances because addition security check are required.
Ease of deployment and vast improved versioning facilities the end of “DLL Hell”.
Built-in Security by using code access security and avoiding buffer overruns.
It provides scalability features.
Provide improvement to application stability.
Provide cross-language integration.
This permits applications built with managed code to perform more safety and efficiently.
【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
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