资源列表
QE-ASM-TM1628
- TM1628/HT1628/TM1638驱动程序ASM汇编程序:TM1628 4位数码管 显示驱动程序 汇编ASM语言 -------------版权属于启蒙电子www.51c51.net，可以免费应用不得删除本信息-The TM1628/HT1628/TM1638 driver ASM assembler: TM1628 4-bit digital tube display driver assembly ASM language ------------- copyright belong
Mentocarlomain
- 这段代码计算了大气偏振的蒙特卡洛模型，即Monte Carlo-This code calculates the atmospheric polarization Monte Carlo model, namely Monte Carlo
readsegd
- 可以成功读取野外采集数据segd格式，用于后续的处理。-Can be read successfully segd field acquisition data format, for subsequent processing.
acpsomatlabchengxu
- 自适应混沌粒子群算法的matlab程序，有测试函数-Adaptive chaotic particle swarm algorithm matlab procedures, test function
zhongping
- 义隆MCU,有原理图，电路设计非常完善，汇编代码，中低频治疗仪-Elan MCU, with schematics, circuit design is perfect, assembly code, the low-frequency therapy
usercreep
- ansys的anand模型本构关系的详细代码，已经调试成功-ansys detailed code anand constitutive relationship model has been successful debugging
lax-wendroff
- lax-wendroff求前台阶超声速流动-lax-wendroff format
array-synthesis
- 四种天线阵列加权分布。泰勒分布、二项式分布、傅里叶分布、切比雪夫分布。-Four kinds of antenna array weighted distribution.Taylor distribution, binomial, Fourier, chebyshev distribution.
vumat_hashin_stress_zerosetting_1
- 该损伤模型通过 商用有限元软件ABAQUS /Explicit 的用户子程序VUMAT 实现，并使用该模型对碳纤维增强环氧树脂 复合材料层合板在横向低速冲击作用下的损伤和变形行为进行预测分析． 数值仿真的结果与试验结 果进行了比较，吻合良好，验证了该模型的有效性．-Through coding user subroutine VUMAT of finite element software ABAQUS /explicit， and applied the model to an
20_200_expert_v4.2_AntS
- EA越是简单越好，只要这些参数合理，没有必要通过优化去改变。参数越少的EA越能在未来重现过去的表现。-EA more simple as possible, so long as these parameters are reasonable, there is no need to change through optimization. EA fewer parameters can reproduce the past performance in the future.
ORPD
- 基于粒子群算法的无功优化MATLAB源代码，IEEE30节点，希望对大家有帮助-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes
mmsp-master
- 用于材料晶粒组织生长，变化等的模拟语言，包括相场法，蒙特卡罗法和元胞自动机法-*Typical MMSP applications include:* * Grain growth and coarsening * Precipitation reactions * Crystal growth and solidification * Lattice based kinetic Monte Carlo * Statistical mechanics: Ising mo