搜索资源列表
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最优化算法，应用有限内存拟牛顿方法（Limited Memory (variable-storage)quasi-Newton method）求解高维最优化问题，使用更多的内存将使算法更有效。-optimization algorithm, Application limited memory quasi-Newton method (Limited Memory (variable-stora ge) quasi--Newton method) for high-dimensional opt
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提供了常用的优化算法，包括约束变尺度法，拟牛顿法，遗传算法，多目标优化算法，Hookjeeves算法等多种算法。使用时先写好优化模型，生成相应的dll此优化库可以根据选择的算法对优化模型进行优化求解。-provide a common method of optimization, including CVMO1-, quasi-Newton method, genetic algorithm, multi-objective optimization algorithm, Hookjeeves
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一个用拟牛顿算法求解优化问题的程序，此程序为MATLAB程序，大家用前自己注意检查一下,A Quasi-Newton algorithm using optimization procedures, the procedures for the MATLAB program, we pay attention to before their own check
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拟牛顿法（变尺度法）DFP算法的c/c++源码.变尺度法的源程序，用于优化中的非线性规划，效果还可以的,Quasi-Newton method [DFP] DFP algorithm c/c++ source code. DFP source for the optimization of nonlinear programming, the effect can also be the
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包括各种非线性方程的MATLAB求解算法，如拟牛顿法，数值延拓法，高斯牛顿法-Include a variety of nonlinear equations MATLAB algorithm, such as the quasi-Newton method, numerical continuation method, Gauss-Newton method
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解无约束优化问题的锥模型拟牛顿信赖域算法。不同与传统的二次模型方法。-A quasi-Newton algorithm based
on the simple dogleg method is developed.
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Kevin Murphy的条件随机场matlab和c++混合代码，包含chains, trees and general graphs includes BP code。-This package is a set of Matlab functions for chain-structured conditional random fields (CRFs) with categorical features. The code implements decoding (with the Vi
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拟牛顿算法，H矩阵由秩1算法得到，一维搜索由ArmigoGoldstein实现-Quasi-Newton algorithm, H matrix by the rank 1 algorithm, to achieve one-dimensional search by the ArmigoGoldstein
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拟牛顿法(Quasi-Newton Methods)是求解非线性优化问题最有效的方法之一。其实DFP算法、BFGS算法都属于拟牛顿法，即，DFP、BFGS都分别是一种拟牛顿法-Quasi-Newton method (Quasi-Newton Methods) is one of the most effective methods for solving nonlinear optimization problems. In fact, the DFP algorithm, BFGS algo
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最优化算法中的拟牛顿算法matlab编程实现，希望对大家有帮助-Quasi-Newton algorithm matlab programming optimization algorithm, and the hope to help everyone
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最优化算法中的带Armijo搜索求步长的拟牛顿算法的源码，matlab编程实现，希望对大家有用。-Optimization algorithm with Armijo search seeking step quasi-Newton algorithm source code, matlab programming, and hope to be useful.
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最优化算法中的使用非单调线搜索求步长的拟牛顿算法的源码，matlab编程实现，希望对大家有用-The use of non-monotonic line optimization algorithm to search seeking step quasi-Newton algorithm source code, Matlab programming, and hope to be useful
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拟牛顿算法中的经典BFGS校正算法和DFP算法的matlab实验代码，broyden族算法的matlab程序。-Proposed Newton the classic algorithm the BFGS correction algorithm and DFP algorithm matlab experimental code, broyden family, algorithm matlab program.
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量子控制中著名的GRAPE算法的改进版本，二阶拟牛顿算法，效率改进很大-Quantum Control famous GRAPE algorithm improved version of the second-order quasi-Newton algorithm efficiency improvements
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最优化方法里的BFGS拟牛顿算法，针对特定的二元函数（可修改）给出极小点和最优值。-Optimization methods in the BFGS quasi-Newton algorithm for a particular binary function (can be modified) gives minimum point and the optimal value.
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本程序包含BP神经网络中的各种不同的算法，包括梯度算法及拟牛顿算法及一步正割等算法-The BP neural network program contains various algorithms, including gradient algorithm and quasi-Newton algorithm and the step secant algorithm, etc.
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LM算法和BFGS拟牛顿算法对BP神经网络的性能影响分析，我的课题作业，希望对大家有帮助。-The performance analysis basde on the impact on BP neural network of LM and BFGS quasi-Newton algorithm , the subject of my work, I hope to be helpful.
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非线性算法合集，包括牛顿拉夫逊法，Broyden拟牛顿法，弧长法，割线法。每种算法都包含有线性搜索迭代改进。-Nonlinear algorithm collection, including Newton Raphson, Broyden quasi-Newton method, arc-length method, secant method. Each contains a linear search algorithms for iterative improvement.
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功能：用BFGS算法求解无约束问题：min f(x)
输入：x0是初始点，fun,gfun分别是目标函数及其梯度；
varargin是输入的可变参数变量，简单调用bfgs时可以忽略它
但若其他程序循环调用该程序时将发生重要作用-Function: with BFGS algorithm solving unconstrained problem: min f (x)
input: x0 is the initial point, fun, gfun respective
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拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。-The quasi-Newton method and the Steepest Des
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