July 7th Tuesday (七月 七日 火曜日)

本文介绍了Scheme语言中多线程的支持方式,包括线程如何并发运行、评价模型中的表达式如何分配到各个线程、线程间如何通过共享状态进行通信等。此外还讨论了线程细胞的概念及其在不同线程间的可见性问题。

Threads

  Scheme supports multiple threads of evaluation. Threads run concurrently, in the sense that one thread can preempt
another without its cooperation, but threads currently all run on the same processor (i.e., the same underlying OS process
and thread).

  Threads are created explicitly by functions such as thread. In terms of the evaluation model, each step in evaluation
actually consists of multiple concurrent expressions, up to one per thread, rather than a single expression. The expressions
all share the same objects and top-level variables, so that they can communicate through shared state. Most evaluation steps
involve a single step in a single expression, but certain synchronization primitives require multiple threads to progress
together in one step.

  In addition to the state that is shared among all threads, each thread has its own private state that is accessed through
thread cells. A thread cell is similar to a normal mutable object, but a change to the value inside a thread cell is seen only
when extracting a value from the cell from the same thread. A thread cell can be preserved; when a new thread is created,
the creating thread's value for a preserved thread cell serves as the initial value for the cell in the created thread.
For a non-preserved thread cell, a new thread sees the same initial value (specified when the thread cell is created) as
all other threads.

【3D应力敏感度分析拓扑优化】【基于p-范数全局应力衡量的3D敏感度分析】基于伴随方法的有限元分析和p-范数应力敏感度分析(Matlab代码实现)内容概要:本文档介绍了基于伴随方法的有限元分析与p-范数全局应力衡量的3D应力敏感度分析,并结合拓扑优化技术,提供了完整的Matlab代码实现方案。该方法通过有限元建模计算结构在载荷作用下的应力分布,采用p-范数对全局应力进行有效聚合,避免传统方法中应力约束过多的问题,进而利用伴随法高效求解设计变量对应力的敏感度,为结构优化提供关键梯度信息。整个流程涵盖了从有限元分析、应力评估到敏感度计算的核心环节,适用于复杂三维结构的轻量化与高强度设计。; 适合人群:具备有限元分析基础、拓扑优化背景及Matlab编程能力的研究生、科研人员与工程技术人员,尤其适合从事结构设计、力学仿真与多学科优化的相关从业者; 使用场景及目标:①用于实现高精度三维结构的应力约束拓扑优化;②帮助理解伴随法在敏感度分析中的应用原理与编程实现;③服务于科研复现、论文写作与工程项目中的结构性能提升需求; 阅读建议:建议读者结合有限元理论与优化算法知识,逐步调试Matlab代码,重点关注伴随方程的构建与p-范数的数值处理技巧,以深入掌握方法本质并实现个性化拓展。
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