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Interval coverage of the realization of the algorithm description: In this paper...
区间覆盖问题的算法实现
问题描述:给出x轴上N条线段的坐标,从中选出一些线段来覆盖区间【0,M】,要求所用线段数目最少
-Interval coverage of the realization of the algorithm description: In this paper, x-axis N be the coordinates of line segment, selected to cover a number of line segments [interval 0, M], requirement by the number of segments at least
- 2022-12-22 05:20:03下载
- 积分:1
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二维码 二维码 二维码
二维码 二维码 二维码
- 2022-02-21 17:46:47下载
- 积分:1
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大富翁离线浏览器源码
大富翁离线浏览器源码-Monopoly offline browser source code
- 2022-03-21 05:15:20下载
- 积分:1
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uwb6
ULTRA-WIDEBAND
WIRELESS
COMMUNICATIONS
AND NETWORKS
Edited by
Xuemin (Sherman) Shen
University of Waterloo, Canada
Mohsen Guizani
Western Michigan University, USA
Robert Caiming Qiu
Tennessee Technological University, USA
Tho Le-Ngoc
McGill University, Canada
- 2010-08-23 13:25:52下载
- 积分:1
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isar3
说明: ISAR雷达实验报告,包括基本原理和部分matlab代码(ISAR radar experiment report, including basic principles and some matlab code)
- 2020-11-18 10:59:41下载
- 积分:1
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利用有限差分算法编写的三维迭后偏移的代码,算法精度高,结果很理想。...
利用有限差分算法编写的三维迭后偏移的代码,算法精度高,结果很理想。-Prepared by using three-dimensional finite difference algorithm Diego after the offset of the code, algorithms, high precision, the result very satisfactory.
- 2022-08-06 08:01:01下载
- 积分:1
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自定义保存报警
说明: mcgs存盘数据浏览,可以自定义浏览查询数据。(MCGS inventory data browsing, you can customize browsing query data.)
- 2019-05-14 10:06:20下载
- 积分:1
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Matlab基础及其应用教程
讲述数学建模的知识以及采用数学建模算法结合MATLAB编程解决实际问题的案例(About mathematical modeling knowledge, and the use of mathematical modeling algorithm, combined with MATLAB programming to solve practical problems)
- 2017-08-02 15:48:54下载
- 积分:1
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c语言开发的五子棋游戏,简单的人工智能计算每步的分数,然后下子。...
c语言开发的五子棋游戏,简单的人工智能计算每步的分数,然后下子。-c language development of the welcome to play, simple artificial intelligence scores in each of the steps, and then erupted in.
- 2023-08-11 05:05:03下载
- 积分:1
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LLE原理
流形学习的任务就是把这个高维流形映射到一个低维(例如2维)的空间里。流形学习可以分为线性算法和非线性算法,前者包括主成分分析(PCA)和线性判别分析(LDA),后者包括等距映射(Isomap),拉普拉斯特征映射(LE)等。(The task of manifold learning is to map this high-dimensional manifold into a low-dimensional (for example, 2-dimensional) space. Manifold learning can be divided into linear algorithms and nonlinear algorithms. The former includes principal component analysis (PCA) and linear discriminant analysis (LDA). The latter includes isometric mapping (Isomap) and Laplacian feature mapping (LE).)
- 2018-09-04 14:31:30下载
- 积分:1