搜索资源列表
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机械优化设计的作业 包括一维搜索方法(二次差值,牛顿法,黄金分割法),以及最速下降法和内点惩罚函数法及等值线图-Optimal Design of mechanical operations, including one-dimensional search method (the second difference, Newton' s law, golden section method), and the steepest descent method and interior po
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压缩包里包含了无约束优化问题常用的几种求解方法的源程序:变量轮换法(variable_rotation.m)、最速下降法(steepest_descent.m)、修正牛顿法(modified_newton.m)、共轭梯度法(conjugate_gradient.m)。另外,coefficient_matrix.m为目标函数系数获得矩阵,minval.m为最小值计算函数,gradient.m为梯度计算函数-Compression bag contains unconstrained optimiz
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最速下降法,是数值分析中很重要的一种,源码为其在matlab中的实现。-Steepest descent method, numerical analysis is a very important one in the matlab source code for its realization.
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采用最速下降法查找最小值,采用H终止准则,计算时间很快,很适合初学者使用-Steepest descent method using the minimum search using H termination criteria, the computation time soon, it is suitable for beginners to use
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非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序(3-拟牛顿BFGS方法).m-Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M
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NUMERICAL OPTIMIZATION:
This steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.-NUMERICAL OPTIMIZ
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Steepest descent have been applied to a biomedical application data and the component responsible for key operation is obtained
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最速下降法,搜索算法,匈牙利算法。-Steepest descent method, the search algorithm, the Hungarian algorithm. Etc.
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In mathematics, the method of steepest descent or stationary phase method or saddle-point method is an extension of Laplace s method for approximating an integral, where one deforms a contour integral in the complex plane to pass near a stationary po
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最优化方法及其Matlab程序设计,乘子法程序,非线性最小二乘问题源码,最速下降法与牛顿法源码-Optimization method and Matlab programming, multiplier method procedures, non-linear least squares problem source, the steepest descent method and Newton' s law code, etc.
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这是一个用最速下降法求解线性方程的方法,程序代码使用matlab语言。
-This is a steepest descent method for solving linear equations, program code using matlab language.
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用牛顿法,最速下降法,BFGS公式求解同一问题,并可比较其收敛速度-With Newton method, the steepest descent method, BFGS formula to solve the same problem , and can compare the convergence speed
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关于最优化算法的Matlab仿真程序,最速下降法与牛顿法。-Optimization algorithm Matlab simulation program, the steepest descent method and Newton method.
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BP(Back Propagation)网络是1986年由Rumelhart和McCelland为首的科学家小组提出,是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层(input)、隐层(hide layer)和输出层(output layer)。-
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最速下降法与牛顿法-Steepest descent method and Newton s method-Steepest descent method and Newton' s method
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使用最速下降法求解二元函数的极值,内含区间取半法的一维寻优,有实例和说明,不只是算法。-Using the steepest descent method for solving the dual function of extremes, containing half the interval to take a one-dimensional optimization method, there are examples and illustrations, not just algori
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程序是通过最速下降法寻找三阶二维的目标函数的局布极值点。-Program is through the steepest descent method to find the objective function of the third-order two-dimensional local extremum point.
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带有MonteCarlo实验的最速下降法,应用于自适应滤波器-MonteCarlo experiment with the steepest descent method, used in the adaptive filter
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最速下降方法是最优化的主要方法,是最优化方向的主要分支-The steepest descent method is the main method of optimization, it is the main branch of the optimization direction.
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使用matlab实现最速下降法,已经经过测试,可以正确使用-Using matlab to achieve the steepest descent method has been tested and used properly.
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