浮点数基本运算 浮点数的基本运算主要有四则运算、符号处理、大小比较，以及浮点数分柝等。 包含头文件 "fn.hpp" #include "fn.hpp" 浮点数基本运算 浮点数的基本运算中有加、减、乘、除、取负、绝对值、相等比较等。 加减乘除 加、减、乘、除四个运算极为相似，都是需要两个参数，结果当然也是浮点数了。 例子： // 加 减 乘 除 btil::fn::plus<f1, f2>::value // f1+f2 的结果 btil::fn::minus<f1, f2>::value // f1-f2 的结果 btil::fn::multiplies<f1, f2>::value // f1*f2 的结果 btil::fn::divides<f1, f2>::value // f1/f2 的结果 plus<f1, f2>::value::f_val // f1+f2 的结果的值 struct one { static const double f_val = 1.0 } // 两个浮点数 struct two { static const double f_val = 2.0 } minus<two, plus<divides<one, two>::value, one>::value >::value::f_val == 0.5 取负 取负运算就是取一个浮点数的负数。
上传时间： 2014-12-06
上传用户：exxxds
自己用C编写的小游戏，DOS界面哦，可以运行。 浮点数基本运算 浮点数的基本运算主要有四则运算、符号处理、大小比较，以及浮点数分柝等。 包含头文件 "fn.hpp" #include "fn.hpp" 浮点数基本运算 浮点数的基本运算中有加、减、乘、除、取负、绝对值、相等比较等。 加减乘除 加、减、乘、除四个运算极为相似，都是需要两个参数，结果当然也是浮点数了。 例子： // 加 减 乘 除 btil::fn::plus<f1, f2>::value // f1+f2 的结果 btil::fn::minus<f1, f2>::value // f1-f2 的结果 btil::fn::multiplies<f1, f2>::value // f1*f2 的结果 btil::fn::divides<f1, f2>::value // f1/f2 的结果 plus<f1, f2>::value::f_val // f1+f2 的结果的值 struct one { static const double f_val = 1.0 } // 两个浮点数 struct two { static const double f_val = 2.0 } minus<two, plus<divides<one, two>::value, one>::value >::value::f_val == 0.5 取负 取负运算就是取一个浮点数的负数。
上传时间： 2014-12-06
上传用户：jichenxi0730
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem
标签： polynomial regression weighted instance
上传时间： 2013-11-28
上传用户：sunjet
This an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain
标签： direct-sequence adaptive receiver spectrum
上传时间： 2014-01-16
上传用户：D&L37
One of the most important issues affecting the implementation of microcontroller software deals with the data-decision algorithm. Data-decision refers to decoding the DIO-pin from the CC400/CC900. Two main principles exist for decoding Manchester-coded data: Data decision based on timing the period between transitions, and data decision based on oversampling.
标签： microcontroller implementation important affecting
上传时间： 2013-12-18
上传用户：671145514
随机性发生器、冒泡分类和混洗一组12张牌的演示程序。 Demonstrates the use of a randomizer, bubble-sort and an array to "shuffle" a deck of 12 cards. I put it here for those of you who are trying to figure out how to shuffle with a randomizer without having the same card appear two-or-more times.
标签： Demonstrates bubble-sort randomizer array
上传时间： 2014-01-16
上传用户：zhanditian
Tic Tac Toe程序。可以供一到两个玩家使用。程序中使用了visual basic 计时器，所以每一个步骤都有时间限制。此外，计算机可是一个有简单智能的对手，他不但不会随便出手，反而还要竭力赢了你才罢休。 Tic Tac Toe program. One or two players. It uses the visual basic timer, so each move has time limit. Simple artificial intelligence: computer does not play randomly, but "tries" to win and stop you from winning.
上传时间： 2015-04-11
上传用户：sxdtlqqjl
CC386 is a general-purpose 32-bit C compiler. It is not an optimizing compiler but given that the code generation is fairly good. There are two versions one is for MSDOS/DPMI and one is for Win32. The Win32 version has a full-blown IDE capable of editing, building, and debugging windows programs included with it. However at this time debugging support for MSDOS is rudimentary at best and there is no IDE for DOS. the newest version, support windows.
标签： compiler general-purpose optimizing given
上传时间： 2015-04-12
上传用户：gtzj
ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2].
标签： activation dimension studies indepen
上传时间： 2015-04-19
上传用户：zukfu
For the incomplete methods, we kept the representation of the queens by a table and the method of calculation to determine if two queens are in conflict, which is much faster for this kind of problems than the representation by a matrix. heuristics: descent. Tests: 100 queens in less than 1 second and 67 iterations. 500 queens in 1 second and 257 iterations. 1000 queens in 11 seconds and 492 iterations. heuristics: Simulated annealing. Tests: 100 queens in less than 1 second and 47 iterations. 500 queens in 5 seconds and 243 iterations. 1000 queens in 13 seconds and 497 iterations. heuristics: based on Simulated Annealing. Tests: 100 queens in less than 1 second and 60 iterations. 500 queens in 1 second and 224 iterations. 1000 queens in 5 seconds and 459 iterations. 10 000 queens in 20 minutes 30 seconds and 4885 iterations.
标签： the representation incomplete methods
上传时间： 2015-05-05
上传用户：1159797854
