搜索资源列表
pascal2c
- PASCAL子集转换为C语言的程序，语法请自己查看myparse.y文件-PASCAL subset is converted to C language, syntax files at your own view myparse.y
SegyMAT
- SegyMAT is a set of m-files that aims to ease importing and exporting SEG-Y files from Matlab. SegyMAT aims to: completely support SEG-Y revision 1 be easy to use in other projects be compileable using the Matlab Compiler be a Swiss Army knife de
Mesh_voxelisation
- Voxelise a closed (ie. watertight) triangular-polygon mesh. The mesh can be in one of several formats: in an STL file in a structure containing the faces and vertices data in three 3xN arrays containing the x,y,z coordinates or in a single Nx3x3 arra
LCD-KEY
- Programa en asm de candado electronico en asm y proteus
grammar.y
- 结合flex词法分析器，读取符合语法规则的文件并输出-Combined with flex lexical analyzer reads the file and comply with the rules of grammar output
PL0Compiler-C
- PL/0编译器C++/C版本 1. 测试文件必须是以testin.pl0命名的文件。 2. 成功运行测试程序后，会生成testout.txt的文件，里面包括代码、指令和运行结果。 3、First.cpp--只包含词法语法分析，Error.cpp--加入了出错处理，All.cpp--包含代码生成和解释程序，是完整编译器。-请键入文字或网站地址，或者上传文档。 取消 PL/0 biānyì qì C++/C bǎnběn 1. Cèshì wénjiàn bìxū shì yǐ
2
- ball structure, which members containing the coordinates of the center of the ball in space and the diameter of the ball. Poster contains the coordinates of the center of the ball to be implemented as an integer array (contain the coordinates x, y, z
programas
- programas cesar y polybios
921_new
- reset chips toner para xerox y samsung
MiniJava.y
- a parser for minijava
Y
- 采用flex工具进行词法分析并结合yacc工具进行语法分析生成文法编译器 进行了完整的词法、语法分析 初始源文件4个：19210216.l,19210216.y,code.h,table.h, 运行过程： 先写出词法分析*.l文件和语法分析*.y文件。 然后运行CMD，进入DOS下，将目录切换到flex和bison及源码所在目录 1、flex 19210216.l 生成lex.yy.c 2、bison -d 19210216.y 生成1921
Main
- MMA7455的测试程序，输出X、Y、Z三个轴的加速度传感器-Acceleration sensor MMA7455 test program, the output X, Y, Z three axes
Teclado-y-LCD-con-el-PIC-16F877A--PIC-C-e-Isis-Pr
- ANALOGO DIGITAL CONVERSOR
TemporizadoresYContadores
- TEMPORIZADORES Y CONTADORES PLC DESCRIPCION
fs_sup_fcbf
- Using Weka s feature selection algorithm X, the features on current trunk, each colum is a feature vector on all instances, and each row is a part of the instance Y, the label of instances, in single column form: 1 2 3 4 5 ... a.E = w
2.12
- 设A＝（a1，…，am）和B＝（b1，…，bn）均为顺序表，A’和B’分别为A和B中除去最大共同前缀后的子表（例如，A＝（x，y，y，z，x，z），B＝（x，y，y，z，y，x，x，z），则两者中最大的共同前缀为（x，y，y，z），在两表中除去最大共同前缀后的子表分别为A’＝（x，z）和B’＝（y，x，x，z））。若A’＝B’＝空表，则A＝B；若A’＝空表，而B’≠空表，或者两者均不为空，且A’的首元小于B’的首元，则A < B，否则A > B。试写一个比较A、B大小的算法（请注意：