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三星混合编译器
- 三星混合编译器，支持C语言编程。按照说明安装即可使用。,Samsung hybrid compiler to support the C programming language.
vi
- 病毒原理，分析防范技术介绍DOS病毒 引导区病毒 文件型病毒 混合型病毒 Windows病毒 VBS脚本病毒 宏病毒 网页病毒 Win32 PE病毒 -The virus theory, analysis techniques introduced to prevent DOS boot sector virus, file virus hybrid virus, virus, Windows virus VBS scr ipt virus macro vir
lightex3
- OPenGL开发的光源类型，混合操作，Aphla混合操作。-OPenGL development of light source type, mixed operations, Aphla hybrid operation.
Calc
- 功能强大的汇编语言大数 四则混合运算器，可以计算一百位数字以内的加减乘除括号混合运算，如100000000000000000-（100000000000000*999999999999999999999999）还有其他复杂的查错功能-Powerful assembly language, four hybrid arithmetic unit of large numbers can be calculated within plus or minus a hundred figures in
Cal
- 一个用汇编语言开发的能够实现四则混合运算的简易计算器， 运行在DOS环境下可以加入括号混合运算。-The development of an assembly language to achieve four hybrid computing simple calculator that runs on DOS environment can be added in parentheses mixed operations.
jihedebingjiaocha
- (1)集合元素的判定和子集判定运算 (2)求集合的补集 (3)集合的混合式运算表达求值 (4)集合的元素类型推广到其他类型，甚至任意类型-(1) the determination of the collection element, and the subset determination computing (2) the complementary set of requirements (3) collection of hybrid-type computing expre
work
- 基于混合粒子群算法的TSP搜索算法，遗传初始化-Genetic algorithms of the the TSP search algorithm based on hybrid particle swarm of the igonr matab the math you off dosmin
mi-svm
- For hybrid mutual information and SVM
WindowsFormsApplication3
- 混合编程matlab与C#,帮助你学习混合编程-matlab and C# hybrid programming
PSOGSA
- 程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力-Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization
kuopin
- 混合扩频DS/FH仿真程序，从原始信号通过伪随机码，跳频码转变为混合扩频信号，再依次解跳解扩，最后通过低通滤波器恢复出信号。-Hybrid spread spectrum DS/FH simulation program, from the original signal by pseudo random code, frequency hopping code into a hybrid spread spectrum signal, and then hopping despreading,
mization
- Recently more research works are focused on multi-objective particle swarm optimization algorithm (MOPSO) due to its ability of global and local search for solving multi-objective optimization problems (MOOPs) however, most of existing MOPSOs can