代码搜索:Appendix

找到约 1,357 项符合「Appendix」的源代码

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texi observer.texi

@c -*-texinfo-*- @node GDB Observers @appendix @value{GDBN} Currently available observers @section Implementation rationale @cindex observers implementation rationale An @dfn{observer} is an entity
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src insref.src

\A{iref} x86 Instruction Reference This appendix provides a complete list of the machine instructions which NASM will assemble, and a short description of the function of each one. It is not i
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hpp computemopsweights.hpp

#pragma ident "$Id: $" /** * @file ComputeMOPSWeights.hpp * This class computes satellites weights based on the Appendix J of MOPS C, * and is meant to be used with GNSS data structures. */ #ifn
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cpp b-2.cpp

// // Examples from ESTL Appendix B (microsoft 4/5 compatible) // #include #include #include #include #include #include #include "ESTLUt
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java kbr.java

// This class can be used to enter single character and numerical // values at the Keyboard, as described in Appendix G of the text. import java.io.*; // needed to access input stream classes
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m analyticanelastic.m

% MATLABScript for obtaning the analytical solution for 2D wave propagation % in a viscoelastic medium, based on the Appendix B of paper of Carcione et % al. (1988)(1), corrected in (2). % % The
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m testfunction11.m

% Test functions for optimization % These are the test functions that appear in Appendix I. % Set funnum to the function you want to use. % funnum=17 is for a MOO function % Haupt & Haupt % 2003
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readme

This is the appendix P preprocessor contributed by Mark Brand. It takes a stdin stream of input data and converts it into a form that can be used by pdf417. You can use this as a preprocessor
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h mcsrandomnumbergenerator.h

/* Random Number Generator (appropriate for simulation) The function generate_random_number is from Appendix A of "Simulation Using Promodel" by Harrell, Ghosh, and Bowden, 3rd Edition, McG
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cpp mcsrandomnumbergenerator.cpp

/* Random Number Generator (appropriate for simulation) The function generate_random_number is from Appendix A of "Simulation Using Promodel" by Harrell, Ghosh, and Bowden, 3rd Edition, McG