搜索资源列表
newton
- 最优化计算方法中 有关于拟牛顿法的一段小代码 可以-Optimization method in the Quasi-Newton method on a small section of code that can look at
BFGS
- 最优化算法之一，拟牛顿法，亦称BFGS法，用于求解极值问题，具有二次收敛性-One of the most optimization algorithms, quasi-Newton method, also known as BFGS method for solving extremum problems, with quadratic convergence
Trust-Region
- 用BFGS更新矩阵的信赖域法解优化问题的MATLAB程序-Trust Region Method For Solving Optimization Problem
DFP-BFGS-0.618
- DFP,黄金分割点方法，BFGS方法matlab源代码用于求解无约束最优化问题-BFGS，DFP,0.618 method for solving unconstrained optimization problems
BFGS
- 采用BFGS变尺度算法求解无约束优化问题的matlab程序代码-BFGS variable scaling algorithm for solving constrained optimization problems matlab code
DFP
- DFP算法是变尺度优化算法，使用唯相位的方法实现阵列天线的波束赋形状，是使用基于DFP和BFGS 变尺度优化算法来实现求值-DFP algorithm is to change the scale optimization algorithm, the use of CD-phase array antenna beamforming shape, is to use the scale variable based on the DFP and BFGS optimization algori
Optimization-GradientBase
- Sample code for optimization based on Gradient base. include BFGS, Steepest Descent method, DFP method, Conjugate Gradient method ans so on-Sample code for optimization based on Gradient base. include BFGS, Steepest Descent method, DFP method, Conjug
MATLAB
- 这是BFGS方法解无约束优化的程序，使用方便，代码简单。-BFGS method for unconstrained optimization program, easy to use, simple code.
bfgs4
- bfgs optimization method
bfgs
- 用BFGS算法求解无约束问题 是一种比秩1算法更有效的优化方法-Unconstrained problem with BFGS algorithm is an algorithm is more efficient than the rank of an optimization method
BFGS-for-Powell-badly
- BFGS for Powell badly scaled function是一个用于测试仿真BFGS最优化算法的matlab程序-BFGS for Powell badly scaled function is used to test the simulation BFGS optimization algorithm matlab program
BFGS
- 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
matlab m BFGS
- BFGS算法在matlab中的实现，通过求解熟悉经典BFGS算法(BFGS algorithm in matlab in the realization of familiar with the classic BFGS algorithm)
bfgs
- BFGS算法(BFGS algorithm)，是一种逆秩2拟牛顿法。Hk+，满足拟牛顿方程的逆形式Hk+}少一、k=s.当Hk正定且(，'，少)}0时Hkh，也正定，因此，由BFGS修正确定的算法xk+} - xk - HkF Cxk)是具有正定性、传递性的拟牛顿法，它也是无约束优化中最常用的、最稳定的算法之一这种算法是布罗依丹(Broy-den,C. G.)于1969年，以及弗莱彻(Fletcher , R. ) ,戈德福布(Goldforb,D. )、香诺(Shan no, D. F.)于1
Newton
- 求解无约束最优化问题，Newton方法包括基本Newton法，拟Newton法等BFGS，DFP方法(Solving unconstrained optimization problems, Newton method)
Matlab optimization programming example
- 分别用最速下降法、FR共轭梯度法、DFP法和BFGS法求解一个典型数学优化问题。(A typical mathematical optimization problem is solved by steepest descent method, FR conjugate gradient method, DFP method and BFGS method respectively.)