Core Java 2中awt高级特性图像处理中显示Mandebrot Set的小例子
上传时间： 2014-01-06
上传用户：chenjjer
一个delphi下使用的压缩组件 TCompress Component Set V8
标签： TCompress Component delphi Set
上传时间： 2017-02-13
上传用户：大融融rr
A set of C++ and Matlab routines implementing the surfacelet transform surfacelet的一个非常好用的工具箱
标签： surfacelet implementing transform routines
上传时间： 2014-01-24
上传用户：tyler
for binder and can be set as any mode
上传时间： 2013-12-09
上传用户：JIUSHICHEN
Input : A set S of planar points Output : A convex hull for S Step 1: If S contains no more than five points, use exhaustive searching to find the convex hull and return. Step 2: Find a median line perpendicular to the X-axis which divides S into SL and SR SL lies to the left of SR . Step 3: Recursively construct convex hulls for SL and SR. Denote these convex hulls by Hull(SL) and Hull(SR) respectively. Step 4: Apply the merging procedure to merge Hull(SL) and Hull(SR) together to form a convex hull. Time complexity: T(n) = 2T(n/2) + O(n) = O(n log n)
标签： contains Output convex planar
上传时间： 2017-02-19
上传用户：wyc199288
Huffman codes In telecommunication, how do we represent a set of messages, each with an access frequency, by a sequence of 0’s and 1’s? To minimize the transmission and decoding costs, we may use short strings to represent more frequently used messages. This problem can by solved by using an extended binary tree which is used in the 2- way merging problem.
标签： telecommunication represent messages Huffman
上传时间： 2014-01-04
上传用户：x4587
aiParts is a set of C++ classes that can be used to develop artificial intelligence for multi-decision problems. It includes classes that implement the High-Hope technique and some sample programs.
标签： intelligence multi-decisi artificial aiParts
上传时间： 2017-02-20
上传用户：徐孺
A Simplex is an immutable set of vertices
标签： immutable vertices Simplex set
上传时间： 2014-01-16
上传用户：CHINA526
TMS320C55x DSP Mnemonic Instruction Set Reference Guide (Rev. G).pdf
标签： Instruction Reference Mnemonic Guide
上传时间： 2017-02-24
上传用户：PresidentHuang
The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.
标签： estimating parameters functions defining
上传时间： 2014-12-05
上传用户：天诚24
