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Multiple-Output

  • About: hamsterdb is a database engine written in ANSI C. It supports a B+Tree index structure, uses

    About: hamsterdb is a database engine written in ANSI C. It supports a B+Tree index structure, uses memory mapped I/O (if available), supports cursors, and can create in-memory databases. Release focus: Major feature enhancements Changes: This release comes with many changes and new features. It can manage multiple databases in one file. A new flag (HAM_LOCK_EXCLUSIVE) places an exclusive lock on the file. hamsterdb was ported to Windows CE, and the Solution file for Visual Studio 2005 now supports builds for x64. Several minor bugs were fixed, performance was improved, and small API changes occurred. Pre-built libraries for Windows (32-bit and 64-bit) are available for download. Author: cruppstahl

    標(biāo)簽: C. hamsterdb structure database

    上傳時間: 2013-12-11

    上傳用戶:LouieWu

  • xl2tpd a Layer 2 Tunneling Protocol (L2TP) daemon. It supports IPsec SA reference tracking, which en

    xl2tpd a Layer 2 Tunneling Protocol (L2TP) daemon. It supports IPsec SA reference tracking, which enables the IPsec stacks to support multiple l2tp clients behind the same NAT router and multiple l2tp clients on the same internal IP address. It is a fork of "l2tpd". Release focus: Minor feature enhancements Changes: Support for passwordfd, a workaround for some Cisco routers, and extended logging.

    標(biāo)簽: Tunneling reference Protocol supports

    上傳時間: 2014-01-20

    上傳用戶:541657925

  • 已知:Sn= 1+1/2+1/3+…+1/n。顯然對于任意一個整數(shù)K

    已知:Sn= 1+1/2+1/3+…+1/n。顯然對于任意一個整數(shù)K,當(dāng)n足夠大的時候,Sn大于K。   現(xiàn)給出一個整數(shù)K(1<=k<=15),要求計算出一個最小的n;使得Sn>K。 Input 鍵盤輸入 k Output 屏幕輸出 n Sample Input 1 Sample Output 2 Source

    標(biāo)簽: Sn 整數(shù)

    上傳時間: 2014-01-25

    上傳用戶:ruixue198909

  • 這是一個ACM中的題請大家看以下哈 如果有問題請多多指教 n個猴子圍坐一圈并按照順時針方向從1到n編號

    這是一個ACM中的題請大家看以下哈 如果有問題請多多指教 n個猴子圍坐一圈并按照順時針方向從1到n編號,從第s個猴子開始進(jìn)行1到m的報數(shù),報數(shù)到第m的猴子 退出報數(shù),從緊挨它的下一個猴子重新開始1到m的報數(shù),如此進(jìn)行下去知道所有的猴子都退出為止。 求給出這n個猴子的退出的順序表。 Input 有做組測試數(shù)據(jù).每一組數(shù)據(jù)有兩行,第一行輸入n(表示猴子的總數(shù))第二行輸入數(shù)據(jù)s(從第s 個猴子開 始報數(shù))和數(shù)據(jù)m(第m個猴子退出報數(shù)).當(dāng)輸入0 0 0時表示程序結(jié)束. Output 輸出中,每組數(shù)據(jù)的輸出結(jié)果為一行,中間用逗號間隔。

    標(biāo)簽: ACM 方向

    上傳時間: 2014-01-01

    上傳用戶:腳趾頭

  • A stochastic-flow network consists of a set of nodes, including source nodes which supply various re

    A stochastic-flow network consists of a set of nodes, including source nodes which supply various resources and sink nodes at which resource demands take place, and a collection of arcs whose capacities have multiple operational states.

    標(biāo)簽: nodes stochastic-flow including consists

    上傳時間: 2013-12-22

    上傳用戶:wlcaption

  • An AHB system is made of masters slaves and interconnections. A general approach to include all poss

    An AHB system is made of masters slaves and interconnections. A general approach to include all possible "muxed" implementation of multi layered AHB systems and arbitrated AHB ones can be thought as an acyclic graph where every source node is a master, every destination node is a slave and every internal node is an arbiter there must be one and only one arc exiting a master and one or more entering a slave (single slave verus multi-slave or arbitrated slave) an arbiter can have as many input and output connections as needed. A bridge is a special node that collapses one or more slave nodes and a master node in a new "complex" node.

    標(biāo)簽: interconnections approach general include

    上傳時間: 2015-12-12

    上傳用戶:lyy1234

  • In a preemptive priority based RTOS, priority inversion problem is among the major sources of deadl

    In a preemptive priority based RTOS, priority inversion problem is among the major sources of deadline violations. Priority inheritance protocol is one of the approaches to reduce priority inversion. Unfortunately, RTOS like uC/OS can’t support priority inheritance protocol since it does not allow kernel to have multiple tasks at the same priority. Although it has different ways to avoid priority inversion such as priority ceiling protocol, developers still have some difficulties in programming real time applications with it. In this paper, we redesign the uC/OS kernel to provide the ability to support round robin scheduling and implement priority inheritance semaphore on the modified kernel. As result, we port new kernel with priority inheritance semaphore to evaluation board, and evaluate the execution time of each of the kernel service as well as verify the operations of our implementation.

    標(biāo)簽: priority preemptive inversion problem

    上傳時間: 2015-12-14

    上傳用戶:氣溫達(dá)上千萬的

  • this a pack include source code for quartus 2. It is an implementation of the LC2. The LC-2 compu

    this a pack include source code for quartus 2. It is an implementation of the LC2. The LC-2 computer is described in Introduction to Computing Systems from Bits & Gates to C & Beyond by Yale Patt and Sanjay Patel, McGraw Hill, 2001. The LC2 model can be run as a simulation or downloaded to the UP3 in a larger model, TOP_LC2 that adds video output. Push buttons reset and single step the processor and a video output display of registers is generated. This state machine VHDL-based model of the LC-2 includes all source files. Currently compiled for a Cyclone EP1C6Q240 FPGA.

    標(biāo)簽: implementation include quartus source

    上傳時間: 2013-12-25

    上傳用戶:壞壞的華仔

  • « 問題描述: 假設(shè)要在足夠多的會場里安排一批活動

    « 問題描述: 假設(shè)要在足夠多的會場里安排一批活動,并希望使用盡可能少的會場。設(shè)計一個有效的 貪心算法進(jìn)行安排。(這個問題實(shí)際上是著名的圖著色問題。若將每一個活動作為圖的一個 頂點(diǎn),不相容活動間用邊相連。使相鄰頂點(diǎn)著有不同顏色的最小著色數(shù),相應(yīng)于要找的最小 會場數(shù)。) « 編程任務(wù): 對于給定的k個待安排的活動,編程計算使用最少會場的時間表。 « 數(shù)據(jù)輸入: 由文件input.txt給出輸入數(shù)據(jù)。第一行有1 個正整數(shù)k,表示有k個待安排的活動。接 下來的k行中,每行有2個正整數(shù),分別表示k個待安排的活動開始時間和結(jié)束時間。時間 以0 點(diǎn)開始的分鐘計。 « 結(jié)果輸出: 將編程計算出的最少會場數(shù)輸出到文件output.txt。

    標(biāo)簽: laquo

    上傳時間: 2013-12-20

    上傳用戶:LIKE

  • ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors

    ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information

    標(biāo)簽: points the minimize respect

    上傳時間: 2014-01-02

    上傳用戶:gyq

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