课程设计中实现matlab的最优化设计，程序代码包括各种算法，如最速下降法 共轭梯度法，牛顿法，修正牛顿法，拟牛顿法，信赖域法，显式最速下降法， lEHGio梯度投影法，修正G－N法，基本粒子群算法，带压缩因子的粒子群算法，权重改进的粒子群算法，sniRhAs二阶粒子群算法等等。

-Curriculum design to achieve matlab optimization design, program code includes a variety of algorithms, such as the steepest descent method conjugate gradient method, Newton s method, modified Newton method, quasi-Newton method, trust region method, explicitly steepest descent method, lEHGio gradient projection law, amendment G-N method, particle swarm algorithm, particle swarm algorithm with compression factors, weights improved particle swarm optimization,　sniRhAs second-order particle swarm optimization and so on.