难道公牛要被活塞横扫?

又一场男人和男孩的比赛 :x
Hinrich七投0中,Gorden和Deng没有一个上20,从第一分钟开始Bulls就被打懵了,过程和结果都和上一场一样。
"We just got completely outplayed in Detroit," said Kirk Hinrich, "We kind of lost our swagger. We need to get our swagger back." 不知道他说的swagger是什么。知耻而后勇吧,年轻人。

论坛上有人讨论:
公牛难道要被活塞横扫?

Maybe not.
Remember in 2004 semi final between Nets and Pistons. Pistons also led by 2-0 ,upset Nets by 78-56 and 95-80 victory. However when Nets came back to New Jersey, everything changed and Pistons lost 64-82 and 82-99 in return. The series was finally finished by 7 and due to the injury of Jason Kidd, Detroit stepped into the conference final.

Last year Cleveland was trailed by 0-2 as well and lost quantities of points, but they even took 3-2 lead at one time and forced game 7. Had Cleveland been more experienced, they would have won the series

Consequently, it's so early to draw a conclusion right now.
【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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