搜索资源列表
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共轭梯度法求解函数极小值,对于学习者将会有很大的帮助-Conjugate Gradient Method for the function minimum, the learners will be of great help
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对于给定的一组轨迹点,用优化方法实现铰链四杆机构轨迹复演。优化方法为共轭梯度法。-For a set of track points,we use a optimization method to optimize the track of Hinge four-bar mechanism. The optimization method is conjugate gradient.
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cg_descent算法实现,由HAGER WILLIAM和H.ZHANG在C++环境下设计并实现具有下降性质的共轭梯度方法-cg_descent algorithm by HAGER WILLIAM H. ZHANG and C++ environment in the design and implementation of a decline in the nature of the conjugate gradient method
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一类修正的DY共轭梯度法及其全局收敛性convergence-A class of modified DY conjugate gradient method and its global convergence
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ethod re-start模糊图像恢复的投影重开始共轭梯度法-Blurred image restoration projection conjugate gradient method re-start
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共轭梯度法程序,适合学习最优化算法和理论的学生,其中包括各种算例,后面附有相应的程序代码-Conjugate gradient procedure for optimization algorithms and theoretical study of students, including a variety of examples, with the corresponding code behind
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一类修正的DY共轭梯度法及其全局收敛性A modified DY conjugate gradient method and its global convergence -A modified DY conjugate gradient method and its global convergence
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共轭梯度法,hessian矩阵计算,强迫正定Cholesky分解以及Gill_Murray改进Newton法的C语言实现。-Conjugate gradient method, hessian matrix calculation, forced definite Cholesky decomposition and Gill_Murray improved Newton method C language.
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共轭梯度法和Gauss-Seidel迭代法的matlab实现,实例操作,取得了良好的效果-Conjugate gradient method and the Gauss-Seidel iteration method matlab implementation, instance operations, and achieved good results
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共轭梯度法+最优化方法+c++程序融合 解线性方程组-Conjugate gradient optimization method++ c++ application integration solution of linear equations
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optimization techniques (line search, conjugate gradient)
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运用比例共轭梯度动量算法来训练 BP网络-Use proportion conjugate gradient algorithm to train the BP network
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用共轭梯度法求优化问题的C++源代码,经测试,该程序运行正常,得到了预期的结果。-Conjugate gradient method for the optimization of C++ source code, tested, the program works correctly to get the desired results.
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使用共轭梯度对BP神经网络算法进行优化,提高了神经网络的收敛速度-Conjugate Gradient
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基于matlab编写了SQP法,乘子法,共轭梯度法,拟牛顿法,信赖域法,最速下降法与牛顿法的最新程序,功能很强大,可供编程参考。-Based on the preparation of MATLAB SQP, multiplier method, conjugate gradient method, quasi-Newton method, trust region method, steepest descent method with the Newton-Raphson method th
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共轭梯度求解数值优化方法,本例题主要是对于一个常见的优化方法用MATLAB进行程序运行-Conjugate gradient method of solving numerical optimization, this example is mainly optimized for a common method using MATLAB running
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病态线性方程组的计算题,涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法,都编写一个m文件,封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行,画出误差曲线图,得到运行结果。总的Matlab程序流程,如下所示: 病态方程组的计算包括:HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括:
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共轭梯度法 求解线性方程组的子函数 可以编程直接调用 可验证其误差下降速度和收敛性-Conjugate gradient method is used to solve the linear equations son function can be directly call can be validated the programming error drop speed and convergence
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这是一个关于共轭梯度法的C程序,可以用于矩阵迭代-This is a Cprogram about Conjugate Gradient
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共轭梯度法求多元函数的极值,使用matlab程序即可解答-Conjugate gradient method for the extreme multi-function use matlab program to answer
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