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hga是一种混合遗传算法c程序源代码，但是只包括了核心的算法部分，还没有完善。
gauss为电路试验中的高斯消去法。
GRKT10，Lagrange，Euler分别是数值计算中龙格－库塔法，拉个朗日法以及改进欧拉法的c程序实现
上述程序都是本人工作学习过程中自己编写的，本人只是一个程序新手，希望在本站能更好的学习-Unit is a mixed genetic algorithm c source code, however, covered only the core of the
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欧拉法解常微分方程,并与四阶龙格库塔法比较-Euler method for solving ordinary differential equations, and fourth-order Runge-Kutta method with the comparison
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利用模糊控制做巡航速度控制利用e, dot_e，當作兩個輸入，取交集在對輸出值u做砍頭的動作，再用重心法求解，再用Runge-Kutta做疊代更改增益值將會得到不一樣的結果。-Using fuzzy control to do cruise speed control using e, dot_e, as the two inputs, the output value of taking the intersection of the decapitation of the movement
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利用fuzzy做倒單擺!!利用e, dot_e，當作兩個輸入，取交集在對輸出值u做砍頭的動作，現做出控制器看輸出有無正確，再用重心法求解，再用Runge-Kutta做疊代更改增益值將會得到不一樣的結果。-Inverted pendulum using fuzzy do!! Use of e, dot_e, as the two inputs, the output value of taking the intersection of the decapitation of the moveme
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runge-kutta法，crank_nicolson法，adams法数值积分-runge-kutta method, crank_nicolson law, adams numerical integration method
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重点探讨四阶龙格_库塔法在火控解算中的应用-Focus on the fourth-order Runge-Kutta method in the fire _ solver application
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H-R生物神经元模型用四阶龙格库塔方法求解-HR biological neuron model with fourth-order Runge-Kutta method for solving
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刚性两杆机构的动力学程序，为机器人动力学建模以及控制打下基础，与很多方法不同的是，这里采用龙格库塔法，显著提高运算精度-Rigid body dynamics program two shots for robot dynamics modeling and control of the foundation, with a lot of different methods is used here Runge-Kutta method, significantly improving oper
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双臂机器人动力学程序，采用龙格库塔法，提高运算精度。解决了闭链动力学存在约束与负载内力的问题，为后续控制打下基础-Arm robot dynamics program, using the Runge-Kutta method to improve the calculation accuracy. Closed kinetic chain exist to solve the constraint problem with the load internal forces, lay the f
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自由漂浮空间机器人动力学程序，采用龙格库塔法显著提高运算速度与运算精度，为后续控制打基础-Free-floating space robot dynamics program, using Runge-Kutta method significantly improve the speed of operation and operational precision, laying the foundation for the subsequent control
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双臂空间机器人闭链动力学建模程序，采用龙格库塔法显著提高运算精度与运算速度，解决了闭链内力分配与闭环建模的难题-Arm Space Robot closed chain dynamics modeling program, using Runge-Kutta method significantly improve the accuracy and computational speed operation to solve the internal force distribution and
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In numerical analysis and scientific computing, the Gauss–Legendre methods are a family of numerical methods for ordinary differential equations. Gauss–Legendre methods are implicit Runge–Kutta methods. More specifically, they are collocation methods
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