哪里能找到??? 3x3x

jz3728 2004-01-15 02:39:26

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hell190109 2004-01-27

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http://complexity.lzu.edu.cn

RPhx 2004-01-27

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http://www.it-c.dk/people/beetle/
这里有这本书部分练习的答案
我真诚建议你,去买一本<Introduction to Algorithm>的影印版.60多元

galois_godel 2004-01-26

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去买本把，
电子版看起来很累人

galois_godel 2004-01-26

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书店

teddyzhai 2004-01-26

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电子书看起真的累，
我亲身体会，不过如果你的确要的话，我可以传给你撒，
留油箱

qazsedcft 2004-01-26

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是，同意。电子书不行。看会晕了就。

jz3728 2004-01-16

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谢谢大家

CEN0921 2004-01-15

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楼上推荐的真是好网站

gnefuil 2004-01-15

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http://complexity.lzu.edu.cn/modules.php?name=Downloads&d_op=viewdownload&cid=1
有好几本算法书，其中有算法导论下载

ZhangYv 2004-01-15

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http://www.cfcs.com.cn/fjas/index.htm
图书下载区

CEN0921 2004-01-15

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本人有电子版的啊，但有12M大啊，不知道怎么给你好啊。
原来我下的那个网站现在连接不上哦，所以不好发给你。

tristsesame 2004-01-15

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听说能看懂KNUTH的TAOCP的人不多.

introduction to algorithm自已用google搜搜吧.
或者到csdn搜搜.
应该很好找的.

jz3728 2004-01-15

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想学算法，请大家推荐一下应该学什么书好？
刚借了一本《程序设计技巧》，克努特写的

http://www.dspguide.com/pdfbook.htm FOUNDATIONS Chapter 1 - The Breadth and Depth of DSP The Roots of DSP Telecommunications Audio Processing Echo Location Image Processing Chapter 2 - Statistics, Probability and Noise Signal and Graph Terminology Mean and Standard Deviation Signal vs. Underlying Process The Histogram, Pmf and Pdf The Normal Distribution Digital Noise Generation Precision and Accuracy Chapter 3 - ADC and DAC Quantization The Sampling Theorem Digital-to-Analog Conversion Analog Filters for Data Conversion Selecting The Antialias Filter Multirate Data Conversion Single Bit Data Conversion Chapter 4 - DSP Software Computer Numbers Fixed Point (Integers) Floating Point (Real Numbers) Number Precision Execution Speed: Program Language Execution Speed: Hardware Execution Speed: Programming Tips FUNDAMENTALS Chapter 5 - Linear Systems Signals and Systems Requirements for Linearity Static Linearity and Sinusoidal Fidelity Examples of Linear and Nonlinear Systems Special Properties of Linearity Superposition: the Foundation of DSP Common Decompositions Alternatives to Linearity Chapter 6 - Convolution The Delta Function and Impulse Response Convolution The Input Side Algorithm The Output Side Algorithm The Sum of Weighted Inputs Chapter 7 - Properties of Convolution Common Impulse Responses Mathematical Properties Correlation Speed Chapter 8 - The Discrete Fourier Transform The Family of Fourier Transform Notation and Format of the Real DFT The Frequency Domain's Independent Variable DFT Basis Functions Synthesis, Calculating the Inverse DFT Analysis, Calculating the DFT Duality Polar Notation Polar Nuisances Chapter 9 - Applications of the DFT Spectral Analysis of Signals Frequency Response of Systems Convolution via the Frequency Domain Chapter 10 - Fourier Transform Properties Linearity of the Fourier Transform Characteristics of the Phase Periodic Nature of the DFT Compression and Expansion, Multirate methods Multiplying Signals (Amplitude Modulation) The Discrete Time Fourier Transform Parseval's Relation Chapter 11 - Fourier Transform Pairs Delta Function Pairs The Sinc Function Other Transform Pairs Gibbs Effect Harmonics Chirp Signals Chapter 12 - The Fast Fourier Transform Real DFT Using the Complex DFT How the FFT works FFT Programs Speed and Precision Comparisons Further Speed Increases Chapter 13 - Continuous Signal Processing The Delta Function Convolution The Fourier Transform The Fourier Series DIGITAL FILTERS Chapter 14 - Introduction to Digital Filters Filter Basics How Information is Represented in Signals Time Domain Parameters Frequency Domain Parameters High-Pass, Band-Pass and Band-Reject Filters Filter Classification Chapter 15 - Moving Average Filters Implementation by Convolution Noise Reduction vs. Step Response Frequency Response Relatives of the Moving Average Filter Recursive Implementation Chapter 16 - Windowed-Sinc Filters Strategy of the Windowed-Sinc Designing the Filter Examples of Windowed-Sinc Filters Pushing it to the Limit Chapter 17 - Custom Filters Arbitrary Frequency Response Deconvolution Optimal Filters Chapter 18 - FFT Convolution The Overlap-Add Method FFT Convolution Speed Improvements Chapter 19 - Recursive Filters The Recursive Method Single Pole Recursive Filters Narrow-band Filters Phase Response Using Integers Chapter 20 - Chebyshev Filters The Chebyshev and Butterworth Responses Designing the Filter Step Response Overshoot Stability Chapter 21 - Filter Comparison Match #1: Analog vs. Digital Filters Match #2: Windowed-Sinc vs. Chebyshev Match #3: Moving Average vs. Single Pole APPLICATIONS Chapter 22 - Audio Processing Human Hearing Timbre Sound Quality vs. Data Rate High Fidelity Audio Companding Speech Synthesis and Recognition Nonlinear Audio Processing Chapter 23 - Image Formation & Display Digital Image Structure Cameras and Eyes Television Video Signals Other Image Acquisition and Display Brightness and Contrast Adjustments Grayscale Transforms Warping Chapter 24 - Linear Image Processing Convolution 3x3 Edge Modification Convolution by Separability Example of a Large PSF: Illumination Flattening Fourier Image Analysis FFT Convolution A Closer Look at Image Convolution Chapter 25 - Special Imaging Techniques Spatial Resolution Sample Spacing and Sampling Aperture Signal-to-Noise Ratio Morphological Image Processing Computed Tomography Chapter 26 - Neural Networks (and more!) Target Detection Neural Network Architecture Why Does it Work? Training the Neural Network Evaluating the Results Recursive Filter Design Chapter 27 - Data Compression Data Compression Strategies Run-Length Encoding Huffman Encoding Delta Encoding LZW Compression JPEG (Transform Compression) MPEG Chapter 28 - Digital Signal Processors How DSPs are Different from Other Microprocessors Circular Buffering Architecture of the Digital Signal Processor Fixed versus Floating Point C versus Assembly How Fast are DSPs? The Digital Signal Processor Market Chapter 29 - Getting Started with DSPs The ADSP-2106x family The SHARC EZ-KIT Lite Design Example: An FIR Audio Filter Analog Measurements on a DSP System Another Look at Fixed versus Floating Point Advanced Software Tools COMPLEX TECHNIQUES Chapter 30 - Complex Numbers The Complex Number System Polar Notation Using Complex Numbers by Substitution Complex Representation of Sinusoids Complex Representation of Systems Electrical Circuit Analysis Chapter 31 - The Complex Fourier Transform The Real DFT Mathematical Equivalence The Complex DFT The Family of Fourier Transforms Why the Complex Fourier Transform is Used Chapter 32 - The Laplace Transform The Nature of the s-Domain Strategy of the Laplace Transform Analysis of Electric Circuits The Importance of Poles and Zeros Filter Design in the s-Domain Chapter 33 - The z-Transform The Nature of the z-Domain Analysis of Recursive Systems Cascade and Parallel Stages Spectral Inversion Gain Changes Chebyshev-Butterworth Filter Design The Best and Worst of DSP Chapter 34 - Explaining Benford's Law Frank Benford's Discovery Homomorphic Processing The Ones Scaling Test Writing Benford's Law as a Convolution Solving in the Frequency Domain Solving Mystery #1 Solving Mystery #2 More on Following Benford's law Analysis of the Log-Normal Distribution The Power of Signal Processing copyright � 1997-2007 by California Technical Pub

[Notes] Introduction to The Design and Analysis of Algorithms from Anany Levitin1. Introduction1.1 What is an Algorithm?Greatest Common Divisor 1. Introduction 1.1 What is an Algorithm? Important poin...

一个优秀的C语言开发大牛必定是擅长数据结构与算法的，所以数据结构是编程必学的内容之一！数据结构(Data Structure) ：是计算机存储、组织数据的方式，指相互之间存在一种或多种特定关系的数据元素的集合。算法(Algorithm): 算法就是一系列高效的计算步骤，用来将输入数据转化成输出结果。数据结构用于解决数据存储问题，而算法用于处理和分析数据！黄老师通过对数据结构核心知识点：顺序表、链表、栈、队列、树、二叉树、遍历、插入、删除、排序、查找算法的细心讲解，结合生动的C语言实战代码演练、帮助学员快速掌握数据结构的核心内容、为STL、Boost标准库的学习、企业级算法开发打下坚实的基础！本课程适合有一定C语言基础编程的童鞋，对 C、C++数据结构与算法编程感兴趣的童鞋！

Craig Peeper
Microsoft Corporation
Jason L. Mitchell
ATI Research
July 2003
Applies to:
DirectX® 9 High-Level Shader Language
Summary: In an excerpt from the forthcoming book ShaderX2 - Introduction and Tutorials

http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#axzz4FIp5fBgM CUDA C Programming Guide Changes from Version 7.0 Updated C/C++ Language Support to: Added new

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