OTP R14A今天发布了

本次更新主要集中在修复大量BUG,并未进行大幅度的性能改进。亮点包括实现了二进制模块,允许用户通过自定义回调模块处理配置数据,引入了新的NIF特性等。
以下是这次发布的亮点,没有太大的性能改进, 主要是修理了很多BUG!

--- HIGHLIGHTS ----------------------------------------------------------

OTP-8217 == erts stdlib compiler ==

The module binary from EEP31 (and EEP9) is implemented.

OTP-8485 == common_test ==

It is now possible for the user to provide specific callback
modules that handle test configuration data, so that data on
arbitray form can be accessed (e.g. by reading files or by
communicating with a configuration server process). Two
default callback modules have been introduced in Common Test:
ct_config_plain and ct_config_xml. The former is used to
handle the traditional Common Test configuration files (with
terms on key-value tuple form) and the latter to handle
configuration data on XML representation.

OTP-8555 == erts ==

New NIF features:

Send messages from a NIF, or from thread created by NIF, to
any local process (enif_send)

Store terms between NIF calls (enif_alloc_env,
enif_make_copy)

Create binary terms with user defined memory management
(enif_make_resource_binary)

And some incompatible changes made to the API. For more
information see the warning text in erl_nif(3).

OTP-8623 == compiler erts hipe stdlib ==

Receive statements that can only read out a newly created
reference are now specially optimized so that it will execute
in constant time regardless of the number of messages in the
receive queue for the process. That optimization will benefit
calls to gen_server:call(). (See gen:do_call/4 for an example
of a receive statement that will be optimized.)

OTP-8650 == common_test ==

The run_test script has been replaced by a program (with the
same name) which can be executed without explicit
installation. The start flags are the same as for the legacy
start script.

OTP-8706 == erts hipe tools ==

eprof has been reimplemented with support in the Erlang
virtual machine and is now both faster (i.e. slows down the
code being measured less) and scales much better. In
measurements we saw speed-ups compared to the old eprof
ranging from 6 times (for sequential code that only uses one
scheduler/core) up to 84 times (for parallel code that uses 8
cores).

Note: The API for the eprof has been cleaned up and extended.
See the documentation.

期待R14B有大的动作!
【路径规划】(螺旋)基于A星全覆盖路径规划研究(Matlab代码实现)内容概要:本文围绕“基于A星算法的全覆盖路径规划”展开研究,重点介绍了一种结合螺旋搜索策略的A星算法在栅格地图中的路径规划实现方法,并提供了完整的Matlab代码实现。该方法旨在解决移动机器人或无人机在未知或部分已知环境中实现高效、无遗漏的区域全覆盖路径规划问题。文中详细阐述了A星算法的基本原理、启发式函数设计、开放集与关闭集管理机制,并融合螺旋遍历策略以提升初始探索效率,确保覆盖完整性。同时,文档提及该研究属于一系列路径规划技术的一部分,涵盖多种智能优化算法与其他路径规划方法的融合应用。; 适合人群:具备一定Matlab编程基础,从事机器人、自动化、智能控制及相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于服务机器人、农业无人机、扫地机器人等需要完成区域全覆盖任务的设备路径设计;②用于学习和理解A星算法在实际路径规划中的扩展应用,特别是如何结合特定搜索策略(如螺旋)提升算法性能;③作为科研复现与算法对比实验的基础代码参考。; 阅读建议:建议结合Matlab代码逐段理解算法实现细节,重点关注A星算法与螺旋策略的切换逻辑与条件判断,并可通过修改地图环境、障碍物分布等方式进行仿真实验,进一步掌握算法适应性与优化方向。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值