-
Q
说明： 运用被动调Q的速率方程的解在matlab中仿真出光子数密度，(The photon number density is simulated in matlab by using the solution of the rate equation of passive Q-switching.)
- 2018-11-27 07:43:15下载
- 积分：1
-
cleaner-robot
智能清洁机器人开发，采用l298N，数字PID，避障，自动路径规划，效果很好(Intelligent cleaning robot development, adoption l298N, digital PID, obstacle avoidance, automatic path planning, with good results)
- 2021-03-26 12:59:13下载
- 积分：1
-
ajax loader icons
ajax loader icons -ajax loader icons
- 2022-04-22 09:56:20下载
- 积分：1
-
ansys斜拉桥一建摸例子
说明： 一种斜拉桥ansys的建模方式，可以给需要进行斜拉桥建模的朋友参考使用(cable-stayed bridge)
- 2021-03-19 12:49:19下载
- 积分：1
-
对于汉诺塔，大家一点不陌生，这是我数据结构的一个作业，里面讲的很详细...
对于汉诺塔，大家一点不陌生，这是我数据结构的一个作业，里面讲的很详细-The Tower of Hanoi, is no stranger to everyone, this is my data structure of a work, which stresses the very detailed
- 2023-04-28 17:20:03下载
- 积分：1
-
51反编译器,用于HEX等烧写文件的反编译
51反编译器,用于HEX等烧写文件的反编译-51 anti-compiler for HEX burning documents and other anti-compiler
- 2022-07-26 07:06:44下载
- 积分：1
-
EADC_SOFT_INT
通过软件触发进行ADC管脚采样，不使用定时器或者其他方式触发，节省了定时器(The ADC pin sampling is triggered by software triggering, and the timer is saved without using timers or other modes)
- 2017-08-30 16:59:07下载
- 积分：1
-
wgrib2
wgrib2 is not simple upgrade of wgrib for grib2 files. wgrib can slice and dice grib1 files. wgrib2 is more like four drawers of kitchen utensils as well as the microwave and blender. This kitchen miracle was done by a more developer friendly design and the contributions of many people. Some functionality include,
inventory and read grib2 files
create subsets
create regional subsets by cookie cutter or projections
export to ieee, text, binary, CSV, netcdf and mysql
write of new grib2 fields
parallel processing by using threads (OpenMP)
parallel processing by flow-based programming
fortran and C interface
- 2018-10-09 16:39:25下载
- 积分：1
-
共轭梯度法
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcoming of the steepest descent method and avoids the need for the Newton method to store. And the disadvantage of calculating the Hesse matrix and inverting, the conjugate gradient method is not only one of the most useful methods for solving large linear equations, but also one of the most effective algorithms for solving large-scale nonlinear optimization. Among various optimization algorithms, the conjugate gradient method is a very important one. The advantage is that the required amount of storage is small, step convergence, high stability, and no external parameters are required.)
- 2018-11-26 11:07:35下载
- 积分：1
-
OPNET
OPNET 的开发源码 希望有帮助 -OPNET
- 2023-03-10 01:10:03下载
- 积分：1
