Description: 共轭梯度法编程.共轭梯度法是共轭方向法的一种依赖于迭代点的负剃度而构造出来的-Conjugate gradient method programming. Conjugate gradient method is a conjugate direction method relies on an iterative point out negative tonsure and the structure of the Platform: |
Size: 23552 |
Author:xiejinliang |
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Description: 共轭方向法，要用的自己下来看看吧，很好的优化程序
-Conjugate direction method, we should take a look at it from their own, a good optimizer Platform: |
Size: 1024 |
Author:王散 |
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Description: 1． 程序运行时首先输入要求解第几题，然后输入初始点，即可得到最后结果。从程序运行结果中我们可以看到，采用共轭梯度法所得的结果比采用最速下降法所得的结果更为精确，这是由于：共轭梯度法实质上是对最速下降法的修正，使搜索方向变为共轭方向，即每一步的搜索方向都要对该步的负梯度进行修正。-1. Program run-time solution of the first type the first few questions asked, and then enter the initial point, final results can be obtained. The results from the program is running, we can see that the conjugate gradient method using the results of the steepest descent method than using the results of more precise, this is due to: the conjugate gradient method in essence is the steepest descent method' s amendment to make the search conjugate direction into the direction that every step of the search direction must be the negative gradient of the steps to be amended. Platform: |
Size: 1024 |
Author:陈卫亮 |
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Description: the folder contains five scripts.m for direction of arrival estimation
1. DOA in 2D plane with PM Correlated sources underunknown Toelpitz noise
2. DOA in 2D plane with esprit code
3. DOA in 1D plane with esprit code
4. DOA in 2D plane with conjugate ESPRIT
5. DOA in 1D plane with conjugate ESPRIT Platform: |
Size: 6144 |
Author:ahla |
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Description: 利用共軛梯度法求解線性聯立方程組 從整體來搜索最佳方向-Using conjugate gradient method for solving linear simultaneous equations to search for the best direction for the overall Platform: |
Size: 1024 |
Author:丁英超 |
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Description: 这是书上的共轭方向方法的两个例子的程序，大家可以参考一下。-This is a book on the method of conjugate direction procedures for two examples, we can refer to. Platform: |
Size: 1024 |
Author:牟健 |
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Description: 该文提出了一种分段弱阈值修正共轭梯度追踪算法，该算法修正了方向追踪算法的方向，提高了压缩感知的重构精度。-This paper presents a weak sub-threshold tracking Conjugate gradient algorithm, which fixes the direction of the direction of tracking algorithms to improve the accuracy of the reconstruction of compressed sensing. Platform: |
Size: 925696 |
Author:成贵均 |
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Description: 使用c简单描述工程优化中的最速下降法、牛顿法以及共轭方向法-Using the c simple description of engineering optimization in the steepest descent method, quasi-Newton method and conjugate direction method Platform: |
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Author:袁帅 |
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Description: 为提高压缩感知重构精度，该文提出一种分段弱阈值修正共轭梯度追踪算法。该算法修正了方向追踪算法
的方向，明确给出了搜寻原子下标的停止迭代准则，利用搜寻所得下标集通过最小二乘法得到稀疏信号的估计值。
仿真结果表明在同等稀疏的条件下实现精确重构，该算法与匹配追踪(MP)算法和分段正交匹配追踪FDR 阈值算
法(StOMP-FDR)相比,所需的观测值个数少20 ；在处理2 维图像信号时，其重构精度比分段正交匹配追踪FAR
阈值算法(StOMP-FAR)和贝叶斯算法(BCS)高1 。-In order to improve recovery accuracy for compressed sensing, a Stagewise Weak selection Modifying
approximation Conjugate Gradient Pursuit (StWMCGP) algorithm is proposed in this paper. This algorithm
modifies the direction in the directional pursuit algorithm and clearly presents a stopping criterion to search the
indices of elements and get a set. Then the evaluation of sparse signal is obtained by using Least-squares algorithm
and the set. Simulated results show that for the same sparsity level, the number of measurements needed by the
algorithm is about 20 less than that needed by MP or StOMP-FDR to exactly recover. When recovering
two-dimensional image signal, the recovery accuracy of this algorithm is about 1 higher than that of BCS or
StOMP-FAR. Platform: |
Size: 318464 |
Author:wang |
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Description: 《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。-" Optimization Methods and Matlab programming," a more systematic introduction to nonlinear optimization problem of the basic theory and algorithms, as well as the main algorithm Matlab programming, the main contents include (precise or exact) line search technique, the steepest descent method and (amended) Newton method, conjugate gradient method, quasi-Newton method, trust region method, nonlinear least squares problem solution, constrained optimization problems optimality conditions penalty function method, feasible direction method, quadratic programming problem The solution, sequential quadratic programming method. Platform: |
Size: 1792000 |
Author:赵雪伟 |
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Description: 提出一种基于直接数据域最小二乘方法的自适应多波束形成算法,包括前向计算、后向计算和前-
后向计算。利用天线阵元输出复电压的单快拍数据构建矩阵方程,采用共轭梯度法求解得到阵列的自适应权值向
量,从而在所有期望信号方向形成接收波束,同时在各干扰方向形成深零陷,使信干噪比显著提高。由于只需对单
快拍数据进行处理,并且避免了样本协方差矩阵的构造及矩阵求逆运算,故计算复杂度较传统算法低。-An adap tive multip le beamforming algorithm based on D3LS ( direct data domain least squares) app roach is
p resented in this paper, including forward p rocedure, backward p rocedure and forward2backward p rocedure. A single snap2
shot data of the comp lex voltagesmeasured at array elements is used to form the matrix equation, which is solved with the
conjugate gradientmethod to obtain the adap tive weight vector of array. Finally, beams are formed along the DOAs ( direction
of arrival) of SO Is ( signal of interest) and deep nullings are made along the DOAs of interferences to imp rove the SINR ( sig2
nal2to2interference2p lus2noise ratio) greatly. The p roposed algorithm has a lower computation comp lexity than conventional al2
gorithms as it p rocesses only a single snap shot data as opposed to forming the samp le covariance matrix and performingmatrix
inversion operation. Platform: |
Size: 323584 |
Author:拉拉 |
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Description: 采用共轭方向法中的BFS方法进行优化，程序中采用简单算例，并附有文档说明-The conjugate direction method in the BFS method to optimize the process using a simple numerical examples, along with documentation Platform: |
Size: 79872 |
Author:linan |
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Description: 共轭方向法的DFP算法，寻优效果好，对目标函数的次数没有限制-Conjugate direction method DFP algorithm optimization effect, the objective function is no limit to the number of Platform: |
Size: 79872 |
Author:linan |
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Description: 本书较为系统地介绍了非线性最优化问题的基本理论和算法及主要算法的matlab程序设计，主要内容包括线搜索技术，最速下降法与牛顿法，共轭梯度法，拟牛顿法，信赖域方法，非线性最小二乘问题的解法，约束优化问题的最优性条件，罚函数法，可行方向法，二次规划问题的解法，序列二次规划法等。-This book systematically introduces the nonlinear optimization problem of the basic theory and algorithms and key algorithm matlab program design, including line search technique, the steepest descent method and Newton' s method, conjugate gradient method, quasi-Newton method, trust region method, nonlinear least squares problem solution, constrained optimization problems optimality conditions penalty function method, feasible direction method, the solution of quadratic programming problems, sequential quadratic programming method. Platform: |
Size: 7461888 |
Author:whucs |
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Description: 《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。-" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method. Platform: |
Size: 1843200 |
Author:若相见 |
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Description: 计算方法 共轭方向法进行函数优化 包括源码和可执行文件-Calculation conjugate direction method for function optimization, including source code and executable files Platform: |
Size: 347136 |
Author:张玥 |
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Description: 共轭梯度法也就是共轭方向法的一种特殊形式，即初始搜索方向为梯度方向。其中根据β的不同又可细分为FR、PRP等方法，主要参考了文件夹中的四本书的内容对其进行总结。最优化算法本质上都是进行最小值的寻优，FR共轭梯度法也不例外。寻优的问题包括两个重要的方面，一个是方向，一个是步长。(Conjugate gradient method is a special form of conjugate direction method, that is, the initial search direction is gradient direction. Among them, according to the different beta, can be subdivided into FR, PRP and other methods, the main reference to the folder in the contents of the four books to summarize it. In essence, the optimization algorithm is the minimal optimization, and the FR conjugate gradient method is no exception. The problem of optimization involves two important aspects: one is the direction, and the other is the step size.) Platform: |
Size: 2048 |
Author:12345678987456321584
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Description: 共轭方向搜索法的matlab函数，有基本的共轭方向搜索法，共轭梯度法和Powell法等(The matlab function of the conjugate direction search method has the basic conjugate direction search method, the conjugate gradient method and the Powell method, etc.) Platform: |
Size: 9216 |
Author:酷酷的帅帅 |
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Description: DFP和BFGS算法由于只在最后运算上有点细微差别所以写在了一起，分别用注释的形式表示，函数可自行调节(The DFP and BFGS algorithms are written together in the form of annotations because they only have a small cell in the last operation. The function can be adjusted by itself.) Platform: |
Size: 189440 |
Author:ssypanda |
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Search - conjugate direction