思维thought chain of
What do you think of Online and Classroom Class advantages and disadvantages?
What do you think of Online and Classroom Class advantages and disadvantages? Online and classroom classes each have their own set of advantages and d ......
Why the developed country choose the countries of southeast Asia to build processing factory used their labour force?
The developed countries choose countries in Southeast Asia to build processing factories and utilize their labor force for various reasons. Some of th ......
思科配置思维导图
 
一、现象 二、原因 可能会有其他原因造成该问题（如，网络问题）。我这边的问题是红框中指定镜像重复，导致yum命令执行失败。 三、解决 cd /etc/yum.repos.d 排查重复的repo并将其删除。 ......
Nacos启动：[NACOS HTTP-POST] The maximum number of tolerable server reconnection errors has been reached
一、表象 二、分析 源码： public HttpRestResult<String> httpPost(String path, Map<String, String> headers, Map<String, String> paramValues, String encode, long re ......
CF1912J Joy of Pokémon Observation记录
题目链接：https://codeforces.com/contest/1912/attachments/download/23419/icpc-nerc-2023-statements.pdf 题意简述 求方程 \(\sum \limits_{i =1}^{s} l_i x_i = t\) 的非负 ......
Nacos启动：[NACOS HTTP-POST] The maximum number of tolerable server reconnection errors has been reached
一、表象 二、分析 源码： public HttpRestResult<String> httpPost(String path, Map<String, String> headers, Map<String, String> paramValues, String encode, long re ......
Feedback Control of Dynamic Systems_P2
187. Problems for Section 5.4: Design Using Dynamic Compensation 5.21 Let \[G(s) = \frac{1}{s^{2} + 7s + 12}\ \text{~}\text{and}\text{~}\ D_{c}(s) = K ......
Feedback Control of Dynamic Systems_P1
GLOBAL EDITION 1. Feedback Control of Dynamic Systems EIGHTH EDITION Franklin \(\cdot\) Powell \(・\) Emami-Naeini Table of Laplace Transforms Number \ ......
[ARC107F] Sum of Abs
[ARC107F] Sum of Abs 发现点数比较少，考虑最小割 我们最大可能的答案为 \(\sum|b_i|\) ，现在考虑减去多余答案 首先点可以不选，于是拆点，之间边权为 \(a_i+|b_i|\) 钦定割完之后，和 \(S\) 连通的点最终取正数，和 \(T\) 连通的点最终取负数，于是 ......
IDEA中出现java file outside of source root
该问题出现原因是，该文件不可编译，需要设置一下sourcesRoot, 一般设置java文件夹为sourceRoot,否则原来的package路径需要更改 ......
Sum of XOR Functions 题解
题意 给定一个数 \(n\) 和一个包含 \(n\) 个数的序列 \(a\)，求出以下式子模 \(998244353\) 的值： \(\sum_{i=1}^{n}\sum_{j=i}^{n} f(i,j)\times (j-i+1)\)。 其中 \(f(i,j)\) 的值为 \(a_{i}\oplu ......
Nacos启动：[NACOS HTTP-POST] The maximum number of tolerable server reconnection errors has been reached
一、表象 二、分析 源码： public HttpRestResult<String> httpPost(String path, Map<String, String> headers, Map<String, String> paramValues, String encode, long re ......
Bias of an estimator
Bias of an estimator Difference between an estimator's expected value from a parameter's true value For broader coverage of this topic, see Bias (stat ......
R语言离散时间马尔可夫链（Markov chain）模型分类案例可视化分析
全文链接：https://tecdat.cn/?p=34576 原文出处：拓端数据部落公众号 有许多用于马尔可夫链的复杂应用。这些包括用于将多态模型拟合为面板数据的msm和SemiMarkov，用于生存分析应用的mstate，用于估计3状态进行性疾病模型的转移概率的TPmsm，用于将马尔科夫模型应用 ......
CARAFE: Content-Aware ReAssembly of FEatures 可学习的上采样
CARAFE: Content-Aware ReAssembly of FEatures * Authors: [[Jiaqi Wang]], [[Kai Chen]], [[Rui Xu]], [[Ziwei Liu]], [[Chen Change Loy]], [[Dahua Lin]] DO ......
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery * Authors: [[Libo Wang]], [[Rui Li]], [[ ......
用DE10_NANO_SOC_FB生成dts的时候 提示Component alt_vip_itc_0 of class alt_vip_itc is unknown
当使用DE10_NANO_SOC_FB工程产生dts时提示 Component alt_vip_itc_0 of class alt_vip_itc is unknown： 如果此时生成了dtb， 可以忽略这个提示。 如果没有生成，您可以先在Qsys 中把这两个器件disable 掉, 然后top文 ......
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance 基于图像和视频的小对象指南使用深度学习进行检测：的案例研究海上监视 1 ......
POLIR-Management-TYPES of decisions
In a very simple sense, the problems managers encounter can be classified as: routine and familiar; new and unusual. In response, managers will use on ......
程序员的思维修炼 读书笔记02
第三章 认识你的大脑 R 型对直觉，问题解决和创造性非常重要，L 型让你细致工作并实现目标。 人类具有超强的感知能力，其中许多无法有效地用语言表达。例如，你可以立刻认出大量熟悉的人的面孔，无论他们是否改变了发型、穿着，或者肥了10磅，还是过了20年。 但是，尝试描述你最亲密爱人的脸庞，你会觉得有心无 ......
一句话解决加载模型时的CUDA out of memory
在加载模型一行后加上max_memory即可，超出显存后会自动移到内存。 model = AutoModel.from_pretrained('your_model', trust_remote_code=True, max_memory={0: "6GiB", "cpu": "10GiB"}) 记 ......
[LeetCode] 2415. Reverse Odd Levels of Binary Tree
Given the root of a perfect binary tree, reverse the node values at each odd level of the tree. For example, suppose the node values at level 3 are [2 ......
Educational Codeforces Round 139 (Rated for Div. 2) D. Lucky Chains（数论）
Educational Codeforces Round 139 (Rated for Div. 2) D. Lucky Chains 思路： 假设幸运为k ， 则 gcd(x+k,y+k) ≠ 1 , k取最小整数（k>=0） 由此可设 因子为 d ， (x+k)%d = 0 , (y+k)%d ......
Failed to convert property value of type 'java.lang.String' to required type 'java.util.Date' for property 'endTime';
后端springboot项目使用getMapper接受，字段写了转换注解 @JsonFormat(shape = JsonFormat.Shape.STRING, pattern = "yyyy-MM-dd HH:mm:ss", timezone = "GMT+8") 还报错Failed to co ......
[ARC124C] LCM of GCDs 题解
题目跳转 Fake_Solution 前言 [warning]: 本题解的做法是错法，但是正确概率贼高。离谱的是正确率还可以叠加。 正解是记搜，时间复杂度可以证明。正解看文末。 思考 众所周知一个公式： \[a\times b=\operatorname{lcm}(a,b)\times \gcd(a ......
React报错：Warning: Invalid hook call. Hooks can only called inside of the body of a function component. This could happen for one of the following reasons: .......
报错截图： 问题可能原因： 我之前是用 npm install，后面有些依赖用的是 cnpm install 解决方法： 用统一的安装方式 删除 node_modules，重新执行 cnpm install 我这里解决问题 ......
Educational Codeforces Round 158 (Rated for Div. 2)C. Add, Divide and Floor(思维/数学)
C. Add, Divide and Floor 这里我们选择固定最小数不变，然后每次让其他数向最小数靠近，模拟一下可以发现，只要最大值变为和最小值一样，其他都会和最小值一样。 #include <bits/stdc++.h> #define rep(i,a,b) for(register int ......
Java: OpenWeatherMap json Deserialization of Java Objects
openweathermap.json { "coord": { "lon": 114.0683, "lat":22.5455 } , "weather":[ { "id": 803, "main":"Clouds", "description":"多云", "icon":"04d" } ], "b ......
《Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification》阅读笔记
论文标题 《Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification》 细粒度视觉分类中类别一致多粒度特征的渐进学习 作者 Ruoyi D ......