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Description: The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.-The module is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar - rotation algorithm is used to update the QR-factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill-conditioned problems, such as fitting Polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back - substitution
Platform: | Size: 57867 | Author: AiQing | Hits:

[Other20044621859596.RAR

Description: 一个仿windows优化大师的界面,开发环境:Windows 2000 server、pb 9.0 在最上边的标签事件中加上一个自定义事件 事件类型:pbm_lbuttondown 代码: Send(Handle(parent),274,61458,0) return 1 -a fake windows optimization master interface development environment : Windows 2000 server, pb 9.0 in the above tags incident with a definition of events since the incident types : pbm_lbuttondown code : Send (Handle (parent). 274,61458,0) return 1
Platform: | Size: 110012 | Author: hutao | Hits:

[Special Effectsimproved_gaborfilter

Description: Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation: G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)), where: Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2)) Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))) DC(F,S,P)=exp(-pi*(F/S)^2+j*P) File Id: 13776 Average rating: 0.0 Size: 1 KB # of reviews: 0 Submitted: 2007-01-26 Downloads: 274 Subscribers: 0 Keywords: gabor filter Stiven Schwanz Dias -Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k * Gaussian (x, y, S) * (Sinusoid (x, y, F, W, P) - DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi * S * 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j * (2 * pi * F * (x * cos (W) y * sin (W)) P))) D C (F, S, P) = exp (-pi * (F / S) ^ 2 * P j) File Id : 13776 Average rating : 0.0 Size : # 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias
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[VC/MFC《Windows核心编程(第四版)》中文版.rar

Description: 目 录 译者序 前言 第一部分 程序员必读 第1章 对程序错误的处理 1 1.1 定义自己的错误代码 4 1.2 ErrorShow示例应用程序 5 第2章 Unicode 11 2.1 字符集 11 2.1.1 单字节与双字节字符集 11 2.1.2 Unicode:宽字节字符集 12 2.2 为什么使用Unicode 13 2.3 Windows 2000与Unicode 13 2.4 Windows 98与Unicode 13 2.5 Windows CE与Unicode 14 2.6 需要注意的问题 14 2.7 对COM的简单说明 14 2.8 如何编写Unicode源代码 15 2.8.1 C运行期库对Unicode的支持 15 2.8.2 Windows定义的Unicode数据类型 17 2.8.3 Windows中的Unicode函数和ANSI 函数 17 2.8.4 Windows字符串函数 19 2.9 成为符合ANSI和Unicode的应用程序 19 2.9.1 Windows字符串函数 19 2.9.2 资源 22 2.9.3 确定文本是ANSI文本还是Unicode 文本 22 2.9.4 在Unicode与ANSI之间转换字符串 23 第3章 内核对象 27 3.1 什么是内核对象 27 3.1.1 内核对象的使用计数 27 3.1.2 安全性 28 3.2 进程的内核对象句柄表 30 3.2.1 创建内核对象 30 3.2.2 关闭内核对象 32 3.3 跨越进程边界共享内核对象 32 3.3.1 对象句柄的继承性 32 3.3.2 改变句柄的标志 35 3.3.3 命名对象 36 3.3.4 终端服务器的名字空间 39 3.3.5 复制对象句柄 39 第二部分 编程的具体方法 第4章 进程 45 4.1 编写第一个Windows应用程序 46 4.1.1 进程的实例句柄 49 4.1.2 进程的前一个实例句柄 50 4.1.3 进程的命令行 50 4.1.4 进程的环境变量 51 4.1.5 进程的亲缘性 54 4.1.6 进程的错误模式 54 4.1.7 进程的当前驱动器和目录 54 4.1.8 进程的当前目录 55 4.1.9 系统版本 56 4.2 CreateProcess函数 58 4.2.1 pszApplicationName和 pszCommandLine 59 4.2.2 psa Process、psa Thread和 binherit Handles 60 4.2.3 fdwCreate 62 4.2.4 pvEnvironment 64 4.2.5 pszCurDir 64 4.2.6 psiStartInfo 64 4.2.7 ppiProcInfo 67 4.3 终止进程的运行 69 4.3.1 主线程的进入点函数返回 69 4.3.2 ExitProcess函数 69 4.3.3 TerminateProcess函数 70 4.3.4 进程终止运行时出现的情况 71 4.4 子进程 72 4.5 枚举系统中运行的进程 73 第5章 作业 91 5.1 对作业进程的限制 93 5.2 将进程放入作业 99 5.3 终止作业中所有进程的运行 99 5.4 查询作业统计信息 100 5.5 作业通知信息 103 5.6 JobLab示例应用程序 104 第6章 线程的基础知识 121 6.1 何时创建线程 121 6.2 何时不能创建线程 122 6.3 编写第一个线程函数 123 6.4 CreateThread函数 124 6.4.1 psa 124 6.4.2 cbStack 124 6.4.3 pfnStartAddr和pvParam 125 6.4.4 fdwCreate 126 6.4.5 pdwThreadID 126 6.5 终止线程的运行 127 6.5.1 线程函数返回 127 6.5.2 ExitThread函数 127 6.5.3 TerminateThread函数 127 6.5.4 在进程终止运行时撤消线程 128 6.5.5 线程终止运行时发生的操作 128 6.6 线程的一些性质 129 6.7 C/C++运行期库的考虑 131 6.7.1 Oops—错误地调用了Create Thread 138 6.7.2 不应该调用的C/C++运行期库函数 138 6.8 对自己的ID概念应该有所了解 139 第7章 线程的调度、优先级和亲缘性 142 7.1 暂停和恢复线程的运行 143 7.2 暂停和恢复进程的运行 144 7.3 睡眠方式 145 7.4 转换到另一个线程 145 7.5 线程的运行时间 146 7.6 运用环境结构 148 7.7 线程的优先级 152 7.8 对优先级的抽象说明 153 7.9 程序的优先级 156 7.9.1 动态提高线程的优先级等级 158 7.9.2 为前台进程调整调度程序 159 7.9.3 Scheduling Lab示例应用程序 160 7.10 亲缘性 167 第8章 用户方式中线程的同步 172 8.1 原子访问:互锁的函数家族 172 8.2 高速缓存行 177 8.3 高级线程同步 178 8.4 关键代码段 180 8.4.1 关键代码段准确的描述 182 8.4.2 关键代码段与循环锁 185 8.4.3 关键代码段与错误处理 185 8.4.4 非常有用的提示和技巧 186 第9章 线程与内核对象的同步 190 9.1 等待函数 191 9.2 成功等待的副作用 194 9.3 事件内核对象 195 9.4 等待定时器内核对象 204 9.4.1 让等待定时器给APC项排队 207 9.4.2 定时器的松散特性 209 9.5 信标内核对象 210 9.6 互斥对象内核对象 211 9.6.1 释放问题 213 9.6.2 互斥对象与关键代码段的比较 214 9.6.3 Queue示例应用程序 214 9.7 线程同步对象速查表 223 9.8 其他的线程同步函数 224 9.8.1 异步设备I/O 224 9.8.2 WaitForInputIdle 224 9.8.3 MsgWaitForMultipleObjects (Ex) 225 9.8.4 WaitForDebugEvent 225 9.8.5 SingleObjectAndWait 226 第10章 线程同步工具包 228 10.1 实现关键代码段:Optex 228 10.2 创建线程安全的数据类型和反信标 239 10.3 单个写入程序/多个阅读程序的保护 251 10.4 实现一个WaitForMultipleExpressions 函数 259 第11章 线程池的使用 274 11.1 方案1:异步调用函数 275 11.2 方案2:按规定的时间间隔调用函数 277 11.3 方案3:当单个内核对象变为已通知状态 时调用函数 283 11.4 方案4:当异步I/O请求完成运行时调用 函数 285 第12章 纤程 287 12.1 纤程的操作 287 12.2 Counter示例应用程序 289 第三部分 内 存 管 理 第13章 Windows的内存结构 299 13.1 进程的虚拟地址空间 299 13.2 虚拟地址空间如何分区 300 13.2.1 NuLL 指针分配的分区—适用于 Windows 2000和Windows 98 300 13.2.2 MS-DOS/16位Windows 应用程序兼容 分区—仅适用于Windows 98 301 13.2.3 用户方式分区—适用于Windows 2000 和Windows 98 301 13.2.4 64 KB禁止进入的分区—仅适用 于Windows 2000 302 13.2.5 共享的MMF分区—仅适用于 Windows 98 303 13.2.6 内核方式分区—适用于Windows 2000和Windows 98 303 13.3 地址空间中的区域 303 13.4 提交地址空间区域中的物理存储器 304 13.5 物理存储器与页文件 304 13.6 保护属性 307 13.6.1 Copy-On-Write 访问 308 13.6.2 特殊的访问保护属性的标志 309 13.7 综合使用所有的元素 309 13.7.1 区域的内部情况 312 13.7.2 与Windows 98地址空间的差别 315 13.8 数据对齐的重要性 319 第14章 虚拟内存 323 14.1 系统信息 323 14.2 虚拟内存的状态 330 14.3 确定地址空间的状态 336 14.3.1 VMQuery函数 337 14.3.2 虚拟内存表示例应用程序 343 第15章 在应用程序中使用虚拟内存 354 15.1 在地址空间中保留一个区域 354 15.2 在保留区域中的提交存储器 355 15.3 同时进行区域的保留和内存的提交 356 15.4 何时提交物理存储器 357 15.5 回收虚拟内存和释放地址空间区域 358 15.5.1 何时回收物理存储器 359 15.5.2 虚拟内存分配的示例应用程序 360 15.6 改变保护属性 368 15.7 清除物理存储器的内容 369 15.8 地址窗口扩展—适用于 Windows 2000 372 第16章 线程的堆栈 385 16.1 Windows 98下的线程堆栈 387 16.2 C/C++运行期库的堆栈检查函数 389 16.3 Summation示例应用程序 390 第17章 内存映射文件 397 17.1 内存映射的可执行文件和DLL 文件 397 17.1.1 可执行文件或DLL的多个实例 不能共享静态数据 398 17.1.2 在可执行文件或DLL的多个实 例之间共享静态数据 400 17.1.3 AppInst示例应用程序 404 17.2 内存映射数据文件 409 17.2.1 方法 1:一个文件,一个缓存 409 17.2.2 方法 2:两个文件,一个缓存 409 17.2.3 方法 3:一个文件,两个缓存 410 17.2.4 方法 4:一个文件,零缓存 410 17.3 使用内存映射文件 410 17.3.1 步骤 1:创建或打开文件内核 对象 411 17.3.2 步骤 2:创建一个文件映射内核 对象 412 17.3.3 步骤 3:将文件数据映射到进程 的地址空间 414 17.3.4 步骤4:从进程的地址空间中撤消 文件数据的映像 416 17.3.5 步骤 5和步骤 6:关闭文件映射对象 和文件对象 417 17.3.6 文件倒序示例应用程序 418 17.4 使用内存映射文件来处理大文件 426 17.5 内存映射文件与数据视图的相关性 427 17.6 设定内存映射文件的基地址 428 17.7 实现内存映射文件的具体方法 429 17.8 使用内存映射文件在进程之间共享 数据 431 17.9 页文件支持的内存映射文件 431 17.10 稀疏提交的内存映射文件 438 第18章 堆栈 451 18.1 进程的默认堆栈 451 18.2 为什么要创建辅助堆栈 452 18.2.1 保护组件 452 18.2.2 更有效的内存管理 453 18.2.3 进行本地访问 453 18.2.4 减少线程同步的开销 453 18.2.5 迅速释放堆栈 453 18.3 如何创建辅助堆栈 454 18.3.1 从堆栈中分配内存块 455 18.3.2 改变内存块的大小 456 18.3.3 了解内存块的大小 456 18.3.4 释放内存块 457 18.3.5 撤消堆栈 457 18.3.6 用C++程序来使用堆栈 457 18.4 其他堆栈函数 460 第四部分 动态链接库 第19章 DLL基础 463 19.1 DLL与进程的地址空间 464 19.2 DLL的总体运行情况 465 19.3 创建DLL模块 467 19.3.1 输出的真正含义是什么 469 19.3.2 创建用于非Visual C++工具 的DLL 471 19.4 创建可执行模块 472 19.5 运行可执行模块 474 第20章 DLL的高级操作技术 477 20.1 DLL模块的显式加载和 符号链接 477 20.1.1 显式加载DLL模块 478 20.1.2 显式卸载DLL模块 479 20.1.3 显式链接到一个输出符号 480 20.2 DLL的进入点函数 481 20.2.1 DLL_PROCESS_ATTACH通知 482 20.2.2 DLL_PROCESS_DETACH通知 483 20.2.3 DLL_THREAD_ATTACH通知 485 20.2.4 DLL_THREAD_DETACH通知 485 20.2.5 顺序调用DllMain 486 20.2.6 DllMain与C/C++运行期库 488 20.3 延迟加载DLL 489 20.4 函数转发器 499 20.5 已知的DLL 499 20.6 DLL转移 500 20.7 改变模块的位置 501 20.8 绑定模块 506 第21章 线程本地存储器 509 21.1 动态TLS 509 21.2 静态TLS 513 第22章 插入DLL和挂接API 515 22.1 插入DLL:一个例子 515 22.2 使用注册表来插入DLL 517 22.3 使用Windows挂钩来插入DLL 518 22.4 使用远程线程来插入DLL 531 22.4.1 Inject Library 示例应用程序 534 22.4.2 Image Walk DLL 541 22.5 使用特洛伊DLL来插入DLL 544 22.6 将DLL作为调试程序来插入 544 22.7 用Windows 98上的内存映射文件 插入代码 544 22.8 用CreateProcess插入代码 544 22.9 挂接API的一个示例 545 22.9.1 通过改写代码来挂接API 546 22.9.2 通过操作模块的输入节来挂接API 546 22.9.3 LastMsgBoxInfo示例应用程序 549 第五部分 结构化异常处理 第23章 结束处理程序 565 23.1 通过例子理解结束处理程序 566 23.2 Funcenstein1 566 23.3 Funcenstein2 566 23.4 Funcenstein3 568 23.5 Funcfurter1 568 23.6 突击测验:FuncaDoodleDoo 569 23.7 Funcenstein4 570 23.8 Funcarama1 571 23.9 Funcarama2 572 23.10 Funcarama3 572 23.11 Funcarama4:最终的边界 573 23.12 关于finally块的说明 574 23.13 Funcfurter2 575 23.14 SEH结束处理示例程序 576 第24章 异常处理程序和软件异常 578 24.1 通过例子理解异常过滤器和异常处理 程序 578 24.1.1 Funcmeister1 578 24.1.2 Funcmeister2 579 24.2 EXCEPTION_EXECUTE_HANDLER 580 24.2.1 一些有用的例子 581 24.2.2 全局展开 583 24.2.3 暂停全局展开 585 24.3 EXCEPTION_CONTINUE_ EXECUTION 586 24.4 EXCEPTION_CONTINUE_ SEARCH 588 24.5 Get Exception Code 589 24.6 Get Exception Information 592 24.7 软件异常 595 第25章 未处理异常和C++异常 598 25.1 即时调试 600 25.2 关闭异常消息框 601 25.2.1 强制进程终止运行 601 25.2.2 包装一个线程函数 601 25.2.3 包装所有的线程函数 601 25.2.4 自动调用调试程序 602 25.3 程序员自己调用UnhandledException Filter 602 25.4 UnhandledExceptionFilter函数的一些 细节 603 25.5 异常与调试程序 604 25.6 C++异常与结构性异常的对比 618 第六部分 窗 口 第26章 窗口消息 623 26.1 线程的消息队列 623 26.2 将消息发送到线程的消息队列中 625 26.3 向窗口发送消息 626 26.4 唤醒一个线程 630 26.4.1 队列状态标志 630 26.4.2 从线程的队列中提取消息的 算法 631 26.4.3 利用内核对象或队列状态标 志唤醒线程 634 26.5 通过消息发送数据 636 26.6 Windows如何处理ANSI/Unicode 字符和字符串 642 第27章 硬件输入模型和局部输入状态 645 27.1 原始输入线程 645 27.2 局部输入状态 646 27.2.1 键盘输入与焦点 647 27.2.2 鼠标光标管理 649 27.3 将虚拟输入队列同局部输入状态挂接 在一起 651 27.3.1 LISLab 示例程序 652 27.3.2 LISWatch 示例程序 666 第七部分 附 录 附录A 建立环境 675 附录B 消息分流器、子控件宏和API宏 686
Platform: | Size: 36814984 | Author: mrf341@163.com | Hits:

[Algorithmlsq

Description: The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.-The module is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar- rotation algorithm is used to update the QR-factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill-conditioned problems, such as fitting Polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back- substitution
Platform: | Size: 57344 | Author: | Hits:

[Web Server274

Description: 非常优秀的asp考试系统,欢迎您使用与修改,属免费软件-excellent asp examination system, we welcome your use with the revision, is free software
Platform: | Size: 34816 | Author: 威名 | Hits:

[Other20044621859596.RAR

Description: 一个仿windows优化大师的界面,开发环境:Windows 2000 server、pb 9.0 在最上边的标签事件中加上一个自定义事件 事件类型:pbm_lbuttondown 代码: Send(Handle(parent),274,61458,0) return 1 -a fake windows optimization master interface development environment : Windows 2000 server, pb 9.0 in the above tags incident with a definition of events since the incident types : pbm_lbuttondown code : Send (Handle (parent). 274,61458,0) return 1
Platform: | Size: 109568 | Author: hutao | Hits:

[Special Effectsimproved_gaborfilter

Description: Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation: G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)), where: Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2)) Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))) DC(F,S,P)=exp(-pi*(F/S)^2+j*P) File Id: 13776 Average rating: 0.0 Size: 1 KB # of reviews: 0 Submitted: 2007-01-26 Downloads: 274 Subscribers: 0 Keywords: gabor filter Stiven Schwanz Dias -Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k* Gaussian (x, y, S)* (Sinusoid (x, y, F, W, P)- DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi* S* 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j* (2* pi* F* (x* cos (W) y* sin (W)) P))) D C (F, S, P) = exp (-pi* (F/S) ^ 2* P j) File Id : 13776 Average rating : 0.0 Size :# 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias
Platform: | Size: 1024 | Author: 石峰 | Hits:

[Graph program10[1].1.1.87.274

Description: this file is about optimissed progressive coding for stereo images., you can make use of it as a reference one.
Platform: | Size: 131072 | Author: balaji/mapu | Hits:

[Otherxin10

Description: 7 3 8 8 1 0 2 7 4 4 5 2 6 5 (图1) 图1给出了一个数字三角形。从三角形的顶部到底部有很多条不同的路径。对于每条路径,把路径上面的数加起来可以得到一个和,你的任务就是找到最大的和。 注意:路径上的每一步只能从一个数走到下一层上和它最近的左边的那个数或者右边的那个数。 -738,810,274,445,265 (Figure 1) Figure 1 shows a digital triangle. From the Department of the triangle at the top in the end there are many trails. For each path, the path above and get a few together, your task is to find the largest and. Note: Each step on the path can only come from a number of the next level and in its most recent number of the left or right that that number.
Platform: | Size: 164864 | Author: yumo | Hits:

[Data structskuaipai

Description: 1. 按下述原则编写快排的非递归算法: (1)一趟排序之后,若子序列已有序(无交换),则不参加排序,否则先对长度较短的子序列进行排序,且将另一子序列的上、下界入栈保存; (2)若待排记录数?3,则不再进行分割,而是直接进行比较排序。 测试实例:{49 38 65 97 76 13 27 49 88 21 105} -1. Prepared by the following principles of non-recursive algorithm for fast row: (1) After a trip to sort, if the sequence has been ordered (no exchange), not to participate in order, otherwise the first sub-sequence of shorter length sort, and will Another sequence of upper and lower stack saved (2) if the number of records to be ranked ? 3, then no longer be divided, but a direct comparison sort. Test Case: {49 3,865,977,613,274,988 21 105}
Platform: | Size: 1024 | Author: zhongkeli | Hits:

[Mathimatics-Numerical algorithmsshuziheidong

Description: 数字黑洞,指的是某种运算,这种运算一般限定从某些整数出发,反复迭代后结果必然落入一个点或若干点。任意整数a,如果它的偶数位的个数为b,奇数位的个数为c,b和c的和为d,那么定义运算@:@a = bcd,比如 @647382 = 426。那么123数字黑洞可以描述为:对于任意整数a,有While(a != 123)a = @a 这个循环可以结束。比如整数274829,@274829 = 426,@426 = 303,@303 = 123,可见,274829经过三次变换变成了123,现在,给你一个整数a,你知道它要经过几次变换才能变成123吗?-Digital black hole, is referring to some kind of operation, this operation is generally limited to an integer starting from a certain, inevitable result after iteratively into a point or several points. An arbitrary integer a, even if it s the number of bits of b, the number of odd bits c, b and c and d, and then define the operator @: @ a = bcd, such as @ 647 382 = 426. Then 123 digital black hole can be described as: For any integer a, a While (a! = 123) a = @ a this cycle can end. Such as integer 274 829 @ 274 829 = 426, @ 426 = 303, @ 303 = 123, shows that 274,829 after three transformations into a 123, now, to give you an integer a, you know it has to go through several transformations to become a 123 it?
Platform: | Size: 179200 | Author: 常青树 | Hits:

[Multimedia Develop4765876764

Description: 易语言编写的274多媒体随身听,有需要的下。-274 multimedia player easy language, there is a need to the next.
Platform: | Size: 1069056 | Author: 桂花翅子 | Hits:

[Windows Develop274

Description: 易语言个人理财管理源码,应用程序编程源码,很好的参考资料。-Personal financial management easy language source code, application programming source code, a good reference.
Platform: | Size: 140288 | Author: liilgln | Hits:

[WEB Codegcms_v1.0

Description: I、 本程序名称为【外谍网在线网络电视高清直播完整内核PHP版 Ver3.0伪静态版】本更新windows主机需rewrite伪静态组件支持 II、 本程序为免费程序,供研究学习使用,请不要用于商业用途,如因商业使用而引发的任何纠纷(如侵权),原作者不承担任何责任。 III、 本程序由 Mr.Green(QQ群170274283)编写,程序原作者有权保留程序最终解释权。 Ⅳ、 本程序的播放源采集自PPTV、乐视网、风云直播、华数直播等四个国内拥有电视直播权的稳定大站,可在线无刷新切换。-I, [name of the program outside the spy network online network television broadcast high-definition version Ver3.0 complete core PHP pseudo-static version of] the need to rewrite the host windows update pseudo-static component support II, this program is a free program for research study, please do not used for commercial purposes, any dispute caused as a result of commercial use (eg infringement), the original author does not assume any responsibility. III, this program consists Mr.Green (QQ Group 170 274 283) to prepare the program the author is entitled to retain the final interpretation program. Ⅳ, the Program playback source collected PPTV, music Watch, the situation live, the number of Chinese television broadcast the four country has the right to live a stable major stations online without refreshing switch.
Platform: | Size: 1142784 | Author: xxpudn34 | Hits:

[Industry researchCERN-THESIS-2013-274

Description: A feature of this topology is the significant second harmonic component of the current that circulates among the phase legs and mainly increases the losses. Secondly, the sizing process for the module capacitance and the arm inductance is described. A stepwise design procedure is presented for the total system, starting the magnet specifications, the dc link capacitance and voltage choice, the converter and the transformer ratings. Subsequently, the suitable control strategy-A feature of this topology is the significant second harmonic component of the current that circulates among the phase legs and mainly increases the losses. Secondly, the sizing process for the module capacitance and the arm inductance is described. A stepwise design procedure is presented for the total system, starting the magnet specifications, the dc link capacitance and voltage choice, the converter and the transformer ratings. Subsequently, the suitable control strategy
Platform: | Size: 3469312 | Author: nasreen | Hits:

[SCMPT-1000 3750 500度RT table

Description: 温度与电阻对照表格,Pt1000阻值与温度关系(Res = 1000*(1 + 0.0038623139728*Tem - 0.00000065314932626*Tem*Tem); fprintf(fp,"%6.1f\t%18f\t",Tem,Res); Tem1 = sqrt( A*A + 4.0*B*(Res/Res_0 -1.0) ) - A; Tem1 = 1000 * Tem1/(2*B); fprintf(fp," %8.4f\t",Tem1); Tem2 = 0.2712508997 * Res - 274.4423762855; fprintf(fp," %8.4f\n",Tem2);)
Platform: | Size: 39936 | Author: wyqin8021@163.com | Hits:

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