shannon-fano shannon optimal bounds
Exploring Recursion in Convex Optimization
Recursion in optimization In this blog post, I aim to provide a overview of the various recursive methods I have seen in convex optimization. Optimiza ......
码-综述(MDS码及Singleton Bound的证明)
我的研究方向是通信编码理论,上层建筑是分布式存储中的编码方案,所以对于各类码要非常的熟悉,接下来会将一些手记记录下来。 (前置知识:有限域) (研究的细分领域:信道编码 -》 差错控制编码 -》 分组码/卷积码 -》 分组码 -》 线性分组码 ) 1.码的定义 Fq是一个有限域,Fqn是Fq上的长为 ......
lower_bound( )和upper_bound( )的常见用法
lower_bound()和upper_bound( )都是利用二分查找的方法在一个排好序的数组中进行查找的。 lower_bound(begin,end,num):从数组的 begin 位置到 end-1 位置二分查找第一个大于或等于 num 的数字,找到返回该数字的地址,不存在则返回 end。通 ......
Invalid bound statement (not found)原因
我犯的错误 resources下直接创建的xml,没有创建mapper文件夹,所以导致找不到xml文件 修改前 修改后 然后就解决了 网上搜到的几种 https://blog.csdn.net/kwppwk/article/details/131832124 ......
[论文阅读] EMO@ Earth Mover Distance Optimization for Auto-Regressive Language Modeling
Pre title: EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling accepted: arXiv2023 paper: https://arxiv.org/abs/2310.04691 co ......
off-line RL | CQL:魔改 Bellman error 更新,得到 Q 函数 lower-bound
论文题目: Conservative Q-Learning for Offline Reinforcement Learning CQL 是师兄盛赞的一篇论文:“是 off-line RL 最精彩的工作之一,扭曲了 Q function,认为没看过的 Q 很有风险,把 OOD(out of dist ......
[翻译]——How the MySQL Optimizer Calculates the Cost of a Query (Doc ID 1327497.1)
本文是对这篇文章How the MySQL Optimizer Calculates the Cost of a Query (Doc ID 1327497.1)的翻译,翻译如有不当的地方,敬请谅解,请尊重原创和翻译劳动成果,转载的时候请注明出处。谢谢! 适用于: MySQL 4.0 及后续更高的版 ......
UIKit Inside: frame bounds position anchorPoint center
iOS 中UIView的属性:frame、bounds、center以及CALayer的属性:position、anchorPoint与视图的位置与大小相关,理解这些属性是进行 iOS 视图编码的基础。 下面从汇编角度看一下这些属性的实现以及相互关系。 1 frame frame定义了视图在父视图坐 ......
ASP.NET Web Optimization Framework
ASP.NET Web Optimization Framework We can use patterns while searching files or subdirectories by using “*” wildcard character as follows: Include(“~/ ......
webpack4_CodeSplit——optimization.splitchunks
目录代码文档树webpack.config.js通过修改entry来达到分割打包文件的目的通过optimization.splitChunks来分离大文件以及重复文件修改entry为单文件,在test.js文件中引入jquery配置optimization.splitchunks多入口情况下的多份大 ......
AT_abc325_f Sensor Optimization Dilemma 题解
AT_abc325_f Sensor Optimization Dilemma 题解 Date 20231025:修复手滑公式 \(\min\)、\(\max\) 写反了。 动态规划。类似背包问题。 朴素算法 记 \((x,y)\) 表示使用 \(x\) 个 (1) 传感器、\(y\) 个 (2) ......
A clock IOB / clock component pair have been found that are not placed at an optimal clock IOB /
A clock IOB / clock component pair have been found that are not placed at an optimal clock IOB / clock site pair. The clock component <clk_IBUFG_BUFG> ......
Table does not support optimize, doing recreate + analyze instead
使用情况: 当您的库中删除了大量的数据后,您可能会发现数据文件尺寸并没有减小。这是因为删除操作后在数据文件中留下碎片所致。 OPTIMIZE TABLE只对MyISAM, BDB和InnoDB表起作用。 对于BDB表,OPTIMIZE TABLE目前被映射到ANALYZE TABLE上。 对于Inn ......
记录mybatis的一点小坑(Invalid bound statement (not found))
今天学习SSM的时候出的一个小错,写测试程序的时候mybatis一直报 binding exception Invalid bound statement (not found): xxx语句。 我以为是xxx语句出问题了。一直找。检查了namespace、statement id、mapperSc ......
解决报错Invalid bound statement (not found)
解决报错Invalid bound statement (not found) 问题描述: 在玩mybatis-plus的时候,在测试类写了一个测试批量插入的方法,结果就报错: 它的意思是 无效的跳转 com.melo.mapper.ProductMapper下的方法batchInsert 可是我的 ......
一文详解贝叶斯优化(Bayesian Optimization)原理
参考资料: Expected Improvement formula for Bayesian Optimisation 通俗科普文:贝叶斯优化与SMBO、高斯过程回归、TPE 理解贝叶斯优化 A Tutorial on Bayesian Optimization 贝叶斯优化是一种求解函数最优值的算 ......
python画边界框bounding box
边界框的坐标方向: python opencv画边界框程序: import cv2 import numpy as np class_name = "car" box_left_top = np.array([75, 35]) # bbox左上角坐标 box_right_bottom =np.arr ......
基本语法——lower/upper_bound 学习笔记
基本语法——lower/upper_bound 学习笔记 正文 本文保证:你看了也不懂 \(\texttt{lower\_bound}\) \(\texttt{upper\_bound}\) 默认比较函数 返回第一个 \(\cancel{<}\text{value}\) 的元素 返回第一个 \(>\ ......
第 367 场周赛(双指针,集合(upper_bound&lower_bound),前后缀分解)
2903. 找出满足差值条件的下标 I 2905. 找出满足差值条件的下标 II 这两个题只有数据范围上面的差距 这个题我们大体思路是维护双指针,枚举数字,维护集合。 这是灵神视频的代码 class Solution: def findIndices(self, nums: List[int], i ......
论文阅读 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
原始题目:Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection 中文翻译:Generalized Focal Loss:学习用于密集目标检测的 Qual ......
definition of the convex optimization
A convex optimization problem is one in which the objective and constraint functions are convex, which means they satisfy the inequality \(f_i(\alpha ......
linear optimization
\(\begin{array}{ll}\operatorname{minimize} & f_0(x) \\ \text { subject to } & f_i(x) \leq b_i, \quad i=1, \ldots, m .\end{array}\) As an important exa ......
5.9 Shannon-Fano-Elias Coding
Define the modified cdf \(\overline{F}(x)\) based on the standard cdf \(F(x)\): \[\overline{F}(x)=\sum_{a<x}p(a)+\frac{1}{2}p(x)=F(x-1)-\frac{1}{2}p(x ......
5.4 Bounds on the optimal code length (Shannon-Fano coding)
From section 5.3, we have \(l_i^*=-\log_D p_i\), but it may not be integer, and we should choose \(l_i\) close to \(l_i^*\). So round it up using the ......
Count of Sub-Multisets With Bounded Sum
Count of Sub-Multisets With Bounded Sum You are given a 0-indexed array nums of non-negative integers, and two integers l and r. Return the count of s ......
5.3 Optimal Codes
From Section 5.2, we know that any prefix code satisfies Kraft inequality. Our goal is to design prefix codes with minimum \(L(C)\), by Kraft inequali ......
(关于创建时用com/example和com.example导致的mapper包对应不上)org.apache.ibatis.binding.BindingException: Invalid bound statement (not found): com.example.mapper.EmpMapper.list
日志输出:Servlet.service() for servlet [dispatcherServlet] in context with path [] threw exception [Request processing failed; nested exception is org.apa ......
ValueError: ('`tf.compat.v1.keras` Optimizer is not supported when eager execution is enabled. Use a `tf.keras` Optimizer instead, or disable eager execution.')
ValueError: ('`tf.compat.v1.keras` Optimizer (', <tensorflow.python.keras.optimizers.SGD >, ') is not supported when eager execution is enabled. Use a ......
np.expand_dims: AxisError: axis 4 is out of bounds for array of dimension 4
np.expand_dims axis = 0时,[]加在最外面 axis = 1时,给每一行都加[] axis = 2时,给每一个元素都加[] x_train = np.expand_dims(X, axis=4) AxisError Traceback (most recent call las ......