BUAA-Recommend-Graduate-Test 北航2013年计算机夏令营机试题与自己写的程序 2 problems written in C language
2023-03-27 09:28:52 25KB C++
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LOAM SLAM中用于非线性优化的方法《On Degeneracy of Optimization-based State Estimation Problems》,大家可以详细阅读,有需要的可以下载。同时可以参照博客https://blog.csdn.net/i_robots/article/details/108724606
2023-02-12 23:27:23 2.24MB slam ubuntu Lidar LOAM
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热传递matlab代码cfd-matlab问题 我编写的代码是为解决我在大学中的计算传热和流体力学课程中的CFD和传热问题而开发的。
2023-02-09 22:24:39 637KB 系统开源
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This edited book presents new results in the area of algorithm development for different types of scheduling problems. In eleven chapters, algorithms for single machine problems, flow-shop and job-shop scheduling problems (including their hybrid (flexible) variants), the resource-constrained project scheduling problem, scheduling problems in complex manufacturing systems and supply chains, and workflow scheduling problems are given. The chapters address such subjects as insertion heuristics for energy-efficient scheduling, the re-scheduling of train traffic in real time, control algorithms for short-term scheduling in manufacturing systems, bi-objective optimization of tortilla production, scheduling problems with uncertain (interval) processing times, workflow scheduling for digital signal processor (DSP) clusters, and many more.
2023-01-21 18:22:31 3.82MB Algorithm Sc
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卡尔曼的论文,卡尔曼滤波器第一次在此论文中提出。
2022-12-25 17:11:12 167KB kalman filter
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数字图像处理第二版冈萨雷斯习题解答-91331980DigitalImageProcessingSecondEditionProblemSolutions.rar 数字图像处理第二版(冈萨雷斯)习题解答,这本书是由冈萨雷斯编写的国外经典名著《数字图像处理(第二版)》的习题解答,对于多数使用这本书的同志十分有用。 哈哈,好资料欢迎下载 本论坛同时提供数字图像处理第二版(冈萨雷斯)下载!
2022-12-13 22:56:01 1.08MB matlab
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论文Deep_Convolutional_Neural_Network_for_Inverse_Problems_in_Imagin
2022-12-06 17:26:37 20.93MB CT图像重建 CT算法研究 论文
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最小二乘
2022-11-30 20:32:52 394KB 最小二乘
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Physical Foundations of Cosmology by V. Mukhanov 第一章解答 2ed.
2022-11-18 23:35:09 241KB 宇宙学
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Classification problems are significant because they constitute a meta-model for multiple theoretical and practical applications from a wide range of fields. The belief rule based (BRB) expert system has shown potentials in dealing with both quantitative and qualitative information under uncertainty. In this study, a BRB classifier is proposed to solve the classification problem. However, two challenges must be addressed. First, the size of the BRB classifier must be controlled within a feasible
2022-11-07 20:00:54 995KB Classification problems; Belief rule
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