FDTD_2D

关于齿轮设计的程序，计算齿轮传动尺寸，求得变位齿轮计算数据，齿轮副啮合角和渐开线函数值，几何尺寸(the program was used to caculate gear)

The solver was mdae to solve the teat tansfrer fields with cooling and hot zone. The Gauss-seidial, ADI, Laasonnen, and Crank-Nicolson schemes are present in the code. You can handle the method you want, iteration and the level of tolerance. The code was made at the LINUX platform. Let me know if you need assistance.

全国研究生数学建模竞赛优秀获奖论文(National Graduate School Mathematical Contest in Modeling outstanding thesis award)

齿轮传动参数测定和公法线公差计算，变位直齿圆柱齿轮参数测定(Determination and the normal line of the gear transmission parameter tolerances calculation)

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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)

java编写九九乘法表 1*1=1 2*1=2 2*2=4 3*1=3 3*2=6 3*3=9 4*1=4 4*2=8 4*3=12 4*4=16 5*1=5 5*2=10 5*3=15 5*4=20 5*5=25 6*1=6 6*2=12 6*3=18 6*4=24 6*5=30 6*6=36 7*1=7 7*2=14 7*3=21 7*4=28 7*5=35 7*6=42 7*7=49 8*1=8 8*2=16 8*3=24 8*4=32 8*5=40 8*6=48 8*7=56 8*8=64 9*1=9 9*2=18 9*3=27 9*4=36 9*5=45 9*6=54 9*7=63 9*8=72 9*9=81 (Multiplication table 1*1=1 2*1=2 2*2=4 3*1=3 3*2=6 3*3=9 4*1=4 4*2=8 4*3=12 4*4=16 5*1=5 5*2=10 5*3=15 5*4=20 5*5=25 6*1=6 6*2=12 6*3=18 6*4=24 6*5=30 6*6=36 7*1=7 7*2=14 7*3=21 7*4=28 7*5=35 7*6=42 7*7=49 8*1=8 8*2=16 8*3=24 8*4=32 8*5=40 8*6=48 8*7=56 8*8=64 9*1=9 9*2=18 9*3=27 9*4=36 9*5=45 9*6=54 9*7=63 9*8=72 9*9=81 )

用QR 法方程组合SVD分解进行最小二乘解方程组，并比较三种方法的稳定性以及准确性(Combined with the QR equation SVD decomposition least squares solution of equations, and compare the stability and accuracy of three methods)

响应面方法的一个例子，二阶响应面，使用正交矩阵法求解(rsm algorithms )

说明：  利用该方程组求解一般的线性方程组，别且符合数学求解原理(Using the equations of linear equations in general, do not and in accordance with principles of mathematics to solve)

用C语言来求解n维线性方程组的解，即高斯消元法求解线性方程组(Gaussian elimination method with n-dimensional linear equations)