[Algorithm] gain saturation in mode locked laser

Description: For calculating the gain saturation intensity in a mode-locked laser cavity for a mode locke
Platform: | Size: 33792 | Author: yiyi1111 | Hits:

[Algorithm] faceTracking

Description: particle filter algrithem
Platform: | Size: 2537472 | Author: adammoy | Hits:

[Algorithm] fluent 蒸发与冷凝udf

Description: fluent evaporation-condensation udf
Platform: | Size: 1024 | Author: phw734381434 | Hits:

[Algorithm] VUMAT_interface_report

Description: kinematic hardening for
Platform: | Size: 588800 | Author: zci89 | Hits:

[Algorithm] SQP方法

Description: Sequential two times programming (SQP) is considered to be one of the most effective ways to solve nonlinear constrained optimization. The traditional SQP algorithm requires QP iteration for every iteration.
Platform: | Size: 12288 | Author: labuladuo | Hits:

[Algorithm] zd530003514 (2)

Description: A MATALB four order Runge Kutta method for solving the two order differential equations for reference for beginners
Platform: | Size: 1024 | Author: Phumetr | Hits:

[Algorithm] PID算法原理

Description: PID simple algorithm principle, easy to understand
Platform: | Size: 528384 | Author: 生之木谷 | Hits:

[Algorithm] dsolve_example

Description: solve nonlinear high-order differential equations
Platform: | Size: 4096 | Author: 小雪雪小震震 | Hits:

[Algorithm] Time_Series_Analysis

Description: The Python implementation of the ARIMA algorithm predicts the time series data. Two data are attached. AirPassengers UK Traffic flow
Platform: | Size: 13312 | Author: Soryu | Hits:

[Algorithm] jiefangcheng

Description: This function can solve equations with six unknowns, easy to use
Platform: | Size: 10240 | Author: Spring123456 | Hits:

[Algorithm] 乘法表

Description: Realize the display of the multiplication table, and can complete the complete and regular simulation of the elementary multiplication table interface
Platform: | Size: 1024 | Author: 大好人 | Hits:

[Algorithm] PCA笔记

Description: For the personal understanding of PCA, there is a detailed process of PCA derivation. The code includes the calculation covariance and its eigenvalue eigenvector.
Platform: | Size: 123904 | Author: 杰克蔡 | Hits: