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Guide to FORTRAN 2008 Programming
说明： Guide to FORTRAN 2008 Programming
- 2020-06-22 03:40:02下载
- 积分：1
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Yanglao-the-com-tutorial
说明： 一个com的入门教程——杨老的com教程(An introductory tutorial com- Yanglao the com tutorial)
- 2011-03-28 12:47:16下载
- 积分：1
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flex3_documentation
flex3 documentation flex 3文档
英文 大家可以试着看下(flex3 documentation flex 3 document in English that we can try to Kanxia)
- 2010-03-15 12:59:46下载
- 积分：1
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NVSIP-ZW-Super-Password
说明： Reset senha DVRs NvSip or XVR Pro
- 2019-10-18 03:53:34下载
- 积分：1
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DB
说明： What is data structure?
A data structure is a way of organizing data that considers not only the items stored, but also their relationship to each other. Advance knowledge about the relationship between data items allows designing of efficient algorithms for the manipulation of datList out the areas in which data structures are applied extensively?
Compiler Design,
Operating System,
Database Management System,
Statistical analysis package,
Numerical Analysis,
Graphics,
Artificial Intelligence,
Simulation
- 2010-03-17 18:28:18下载
- 积分：1
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shiyanxinlixue
实验心理学，相信对很多研究心理学的同仁们会有很大的帮助，内部版本(Experimental psychology believe pairs many research psychology colleagues be great help, internal version)
- 2009-12-21 11:28:05下载
- 积分：1
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反演(第一章)
北京大学地球物理反演课程的一些资料，很有用，讲一些地球物理反演的理论和方法(Geophysical inversion)
- 2019-03-19 08:41:45下载
- 积分：1
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SFBC_MIMO_OFDM
MIMO-OFDM系统空频分组码的研究与实现,2006年清华大学电子工程系硕士学位论文(MIMO-OFDM space-frequency block coding system of the Research and Implementation, Department of Electronic Engineering, Tsinghua University in 2006 a master' s degree thesis)
- 2021-04-10 17:08:59下载
- 积分：1
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Python机器学习算法
说明： python机器学习算法，相关算法的python实现。(Python machine learning algorithm)
- 2019-04-18 09:53:04下载
- 积分：1
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high-performance-cuda
本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)
- 2013-11-04 18:44:09下载
- 积分：1
