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
113172216bfgs
- 共轭梯度法，以及几种常见的的优化方法程序-Conjugate gradient method
vmaBFGS
- BFGS变尺度法，MATLAB实现，求解函数极值-BFGS variable metric algorithm implemented by MATLAB
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
hucrf_code
- Hidden-Unit Conditional Random Fields 工具箱，可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling 提出的huCRF-We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experim
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
bfgs
- matlab优化BFGS算法，优化中常用算法。-matlab
Quasi-Newton
- 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.
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.
L-BFGS源代码
- 这是一个L-BFGS的Matlab源代码
bfgs
- BFGS在matlab中的算法，是求解非线性规划中的一个好算法。-BFGS in matlab algorithm for solving nonlinear programming is a good algorithm.
BFGS
- 数学计算方法，拟牛顿BFGS算法，使用matlab编写-Mathematical calculation method, quasi-Newton BFGS algorithm, using matlab prepared
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-algorithm
- 这个文档用MATLAB实现了用BFGS算法来解决最优化问题-this file used the tool of matlab to solve optimal problems through BFGS algorithm
bfgs
- matlab的BFGS算法实现，采用WOLFE-POWELL，迭代五步实现-The BFGS algorithm matlab using WOLFE-POWELL, iterative five-step realization
matlab
- QAM调制，最速下降法，Newton，黄金分割法， BFGS算法，非线性共轭梯度法，MAILAB实例-QAM modulation, the steepest descent method, Newton, golden section method, BFGS algorithm, nonlinear conjugate gradient method, MAILAB examples
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linear optimization
- 用BFGS 拟牛顿法 最速下降法 牛顿法 共轭梯度法 解决线性优化问题(Solving linear optimization problems with conjugate gradient method and Steepest descent method.)
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)
L-BFGS
- 有限记忆算法，用于处理大规模算法，算法原理为把不断迭代的牛顿矩阵分解并部分抵消达到减少运算量的目的(limit memory,for large-scale algorithms. The principle of the algorithm is to decompose and partially cancel the iterative Newton matrix in order to reduce the computational complexity.)