搜索资源列表
gongetidu
- 无约束条件下的共轭梯度法的最优化程序设计-Not constrained conjugate gradient method to optimize programming
OptimizationSample
- Newton s method and gradient method
myjbforms
- C#填充渐变色作为整个窗体的背景,很漂亮的红色渐变窗体,当然,颜色完全可由你来决定,示例仅是来说明方法,如上示,新手必看的小程序示例。 -C# gradient fill the background of the form as a whole, very beautiful red gradient form, of course, color is completely determined by you, is just an example to illustrate the me
grad
- 介绍了一般方程的梯度求解方法 并给出了详细的代码-Describes the general method of solving the gradient equation and gives a detailed code
tidufa
- 共轭梯度法,用于机械优化设计中的无约束优化方法的求法,基于二元函数。-Conjugate gradient method, the optimum design of the machine used for unconstrained optimization method the method, based on binary function.
bianse
- Making gradient color words, gradient text effects, which can expand the more beautiful and c # text effect, and learns to one of the kind of method, you can extrapolate, flexible use of the.-Making gradient color words, gradient text effects, which
youhuachengxu
- 运用共轭梯度法和复合型法求函数的最小值,可以优化用-Can be optimized with the use of the conjugate gradient method and Method composite function of the minimum
SmoothAndSharpen
- 图像平滑与锐化,包括邻域平均法、中值滤波法平滑,梯度掩模、拉氏算子锐化-Image smoothing and sharpening, including neighborhood average, median filtering method smooth gradient mask, Laplace operator sharpening
Powell
- 鲍威尔方法是鲍威尔于1964年提出的,以后又经过他本人的改进。该方法是一种有效的共轭梯度方向法,它可以在有限步内找到二次函数的极小点。对于非二次函数只要具有连续的二阶导数,用这种方法也是有效的。-Powell method is proposed in 1964, and later through his own improvements. This method is an effective method of conjugate gradient direction, it can fi
tidu
- 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 between a law an
Conjugate-Gradient-Method-source
- 共轭梯度法源程序,可以再vc++下进行运行-Conjugate Gradient Method source