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Description: 直线搜索可以为最优化提供搜索区间。上述算法的终止准则为H终止准则。通用程序。
①计算一个正定二次函数（至少是4元函数）；②至少计算一个非二次函数（至少是5元函数）。
非线性最小二乘问题的修正Gauss-Newton法所计算的函数：至少计算一个非线性函数（至少是5元函数）。
乘子法所计算的问题：等式约束、不等式约束要求至少各有一个。问题可在教材或其它参考书中任意选取程序自行编写（禁止采用调用现成软件的方式），编程语言自选。
-straight search for the optimal search interval. This algorithm criteria for the termination of H termination criteria. Common procedures. calculate a definite quadratic function (at least four yuan function); calculated at least one non-quadratic function (at least five yuan functions). The nonlinear least squares problems that Gauss-Newton method by calculating function : at least a nonlinear function computing (at least five yuan functions). Multiplier Method calculation problem : identity bound inequality constraints have required at least one. Problems in other reference materials or arbitrary selection procedures to prepare themselves (called ban on the use of existing software), on-demand programming language.
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Author: 红男 |
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Description: 上述算法的终止准则为H终止准则。
编写通用程序。：
直线搜索所计算的函数自己任选。①计算一个正定二次函数（至少是4元函数）；②至少计算一个非二次函数（至少是5元函数）。
非线性最小二乘问题的修正Gauss-Newton法所计算的函数：至少计算一个非线性函数（至少是5元函数）。
乘子法所计算的问题：等式约束、不等式约束要求至少各有一个。问题可在教材或其它参考书中任意选取。
程序自行编写（禁止采用调用现成软件的方式），编程语言自选。从独立完成所有实验内容的学生中遴选出-above algorithm criteria for the termination of H termination criteria. Preparation of common procedures. : Linear search function by calculating their options. calculate a definite quadratic function (at least four yuan function); calculated at least one non-quadratic function (at least five yuan functions). The nonlinear least squares problems that Gauss-Newton method by calculating function : at least a nonlinear function computing (at least five yuan functions). Multiplier Method calculation problem : identity bound inequality constraints have required at least one. Problems in reference books or other materials were selected at random. Self-preparation procedure (called ban on the use of existing software), on-demand programming language. From an experimental content complete all of
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Size: 14358 |
Author: 洪男 |
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Description: 上述算法的终止准则为H终止准则。要求编写通用程序。
关于函数的要求：
直线搜索所计算的函数自己任选。
共轭梯度法所计算的函数：①计算一个正定二次函数（至少是4元函数）；②至少计算一个非二次函数（至少是5元函数）。
非线性最小二乘问题的修正Gauss-Newton法所计算的函数：至少计算一个非线性函数（至少是5元函数）。
乘子法所计算的问题：等式约束、不等式约束要求至少各有一个。问题可在教材或其它参考书中任意选取。
程序自行编写（禁止采用调用现成软件的方式），编程语言自选。
-above algorithm criteria for the termination of H termination criteria. Requests for common procedures. The demands on function : linear search function by calculating their options. The conjugate gradient method by calculating function : calculate a definite quadratic function (at least four yuan function); calculated at least one non-quadratic function (at least five yuan functions). The nonlinear least squares problems that Gauss-Newton method by calculating function : at least a nonlinear function computing (at least five yuan functions). Multiplier Method calculation problem : identity bound inequality constraints have required at least one. Problems in reference books or other materials were selected at random. Self-preparation procedure (called ban on the use of existing software)
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Size: 9632 |
Author: 洪男 |
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Description: HUMAN BODY TRACKING 的Lisp 程式碼檔案
-the Lisp code files
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Size: 5430 |
Author: 賴育彬 |
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Description: 贝页斯正则化的英文原版资料，又需要的话可以下载学习，里面没有源程序的，只有文字说明
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Size: 410206 |
Author: yuyu |
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Description: 应用Gauss-Newton.圆柱拟合
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Size: 2156 |
Author: wangqx |
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Description: 阻尼最小二乘法（即Levenberg-Marquarat算法)，是Gauss-Newton算法的一种修*。-
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Size: 27392 |
Author: wangdaodang@yahoo.com.cn |
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Description: HUMAN BODY TRACKING 的Lisp 程式碼檔案
-the Lisp code files
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Size: 5120 |
Author: 賴育彬 |
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Description: 贝页斯正则化的英文原版资料，又需要的话可以下载学习，里面没有源程序的，只有文字说明-Tony Adams is the page of the English original data, but also need to do so can download study, there is no source, only text
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Size: 410624 |
Author: yuyu |
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Description: 应用Gauss-Newton.圆柱拟合
-Application of Gauss-Newton. Cylindrical fitting
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Size: 2048 |
Author: wangqx |
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Description: This function calculates Akaike s final prediction error
％ estimate of the average generalization error.
％
％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the
％ final prediction error estimate (fpe), the effective number of
％ weights in the network if the network has been trained with
％ weight decay, an estimate of the noise variance, and the Gauss-Newton
％ Hessian.
％-This function calculates Akaike s final prediction error estimate of the average generalization error. [FPE, deff, varest, H] = fpe (NetDef, W1, W2, PHI, Y, trparms) produces the final prediction error estimate ( fpe), the effective number of weights in the network if the network has been trained with weight decay, an estimate of the noise variance, and the Gauss-Newton Hessian.
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Size: 2048 |
Author: 张镇 |
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Description: 非线性最小二乘问题的修正Gauss-Newton法所计算的函数-Rectification of nonlinear least squares Gauss-Newton method calculated function
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Size: 5120 |
Author: liang |
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Description: 阻尼最小二乘法（即Levenberg-Marquarat算法)，是Gauss-Newton算法的一种修正法。-Damped least squares method (that is, Levenberg-Marquarat algorithm), Gauss-Newton algorithm are an Amendment Act.
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Size: 27648 |
Author: zjun800 |
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Description: solve power flows by gauss seidel method ans newton Rapson
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Size: 610304 |
Author: wilber2912 |
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Description: 我自己写的高斯牛顿算法，已经通过了测试。有需要的朋友可以下载。-I wrote it myself Gauss-Newton algorithm, has passed the test. A friend in need can be downloaded.
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Size: 196608 |
Author: 陈雪 |
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Description: 高斯 牛顿 雅克比 三个人的方法解方程
源代码完整 可编译-Gauss-Newton Jacobian method to solve the equations of the three individuals complete source code can be compiled
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Size: 634880 |
Author: kyo |
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Description: 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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Size: 11264 |
Author: 付和平 |
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Description: LM算法
老外写的The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It
outperforms simple gradient descent and other conjugate gradient methods in a wide variety of
problems. This document aims to provide an intuitive explanation for this algorithm. The LM
algorithm is fi rst shown to be a blend of vanilla gradient descent and Gauss-Newton iteration.
Subsequently, another perspective on the algorithm is provided by considering it as a trust-region
method-The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It
outperforms simple gradient descent and other conjugate gradient methods in a wide variety of
problems. This document aims to provide an intuitive explanation for this algorithm. The LM
algorithm is fi rst shown to be a blend of vanilla gradient descent and Gauss-Newton iteration.
Subsequently, another perspective on the algorithm is provided by considering it as a trust-region
method
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Size: 31744 |
Author: TANG |
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Description: 利用牛顿法思想，结合高斯法求解非线性方程组-Gauss Newton method for solving equations with the visual fortran sofeware including the detailed explanation in chinese characters and numbers and so on
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Size: 1024 |
Author: Bryne |
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Description: 艾肯特插值，高斯插值和牛顿插值法的matlab代码。上述三种方法均用于数值插值。-Ai Kente interpolation, the matlab code of the the Gaussian interpolation and the Newton interpolation law. The the above-mentioned three methods are used for the numerical interpolation.
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Size: 2048 |
Author: pengtao |
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