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This paper introduces an affine invariant of trapezia, and the explicit constraint equation between

This paper introduces an affine invariant of trapezia, and the explicit constraint equation between the intrinsic matrix of a camera and the similarity invariants of a trapezium are established using

📅 2014-01-16 22:22:02 ⬇️ 110 👁️ 1,131

数值计算牛顿迭代法的matlab源程序说明如下：％fun----input,the part as the form of f(x) in the equation f(x)=0 ％ ini

数值计算牛顿迭代法的matlab源程序说明如下：％fun----input,the part as the form of f(x) in the equation f(x)=0 ％ ini----input,sets the starting point to ini ％ err----input,sets admissible error ％ sol----output,ret

📅 2014-01-12 20:34:19 ⬇️ 91 👁️ 1,092

program to solve a finite difference discretization of Helmholtz equation : (

program to solve a finite difference discretization of Helmholtz equation : (d2/dx2)u + (d2/dy2)u - alpha u = f using Jacobi iterative method. COMMENTS: OpenMP versi

📅 2014-01-11 23:30:01 ⬇️ 94 👁️ 1,074

谱域法求解电磁场扩散方程的Fortran程序 A working example of solving the electromagnetic diffusion equation using a

谱域法求解电磁场扩散方程的Fortran程序 A working example of solving the electromagnetic diffusion equation using a spectral method

📅 2014-01-10 06:11:09 ⬇️ 194 👁️ 1,293

Ground state of the time-independent Gross-Pitaevskii equation

📅 2014-01-04 21:19:01 ⬇️ 108 👁️ 1,249

Engineering Equation Solver（EES）

Engineering Equation Solver（EES），工程方程求解器，内含使用教程

📅 2014-01-04 07:56:01 ⬇️ 310 👁️ 4,143

数值分析算法源码(java) 这个学期一边学习java一边学习数值分析,因此用java写了一个数值分析算法的软件包numericalAnalysis. [说明] 适合使用者:会java的

数值分析算法源码(java) 这个学期一边学习java一边学习数值分析,因此用java写了一个数值分析算法的软件包numericalAnalysis. [说明] 适合使用者:会java的,想要学习数值分析算法的人. 本代码对照书:数值分析第二版,史万明等编,北京理工大学出版社. 本代码尽量按书中描述的来写,可以提供参考. [使用方法] 在java的ide中

📅 2014-01-04 07:47:08 ⬇️ 37 👁️ 1,136

This m file simulates a differential phase shift keyed (DPSK) ultra wide bandwidth(UWB) system using

This m file simulates a differential phase shift keyed (DPSK) ultra wide bandwidth(UWB) system using a fifth derivative waveform equation of a Gaussian pulse.

📅 2014-01-03 11:30:01 ⬇️ 98 👁️ 1,068

Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java庐, Maple庐, and MATLAB庐

📅 2013-12-31 21:52:07 ⬇️ 171 👁️ 1,074

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data gener

📅 2013-12-28 12:24:01 ⬇️ 173 👁️ 1,137

This program contains the iterative methods of finding solutions of the equation f(x)=0, which are a

This program contains the iterative methods of finding solutions of the equation f(x)=0, which are also known as the roots of the equation f(x)=0 The methods are: -bisection -false position -newto

📅 2013-12-27 15:58:02 ⬇️ 42 👁️ 1,062

这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III)

这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneou

📅 2013-12-26 05:07:09 ⬇️ 63 👁️ 1,113

The equation is written as a system of two first order ODEs. These are evaluated for different value

The equation is written as a system of two first order ODEs. These are evaluated for different values of the parameter Mu. For faster integration, we choose an appropriate solver based on the value of

📅 2013-12-25 22:24:11 ⬇️ 112 👁️ 1,069

Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB

📅 2013-12-25 04:20:11 ⬇️ 40 👁️ 1,093

用MOM求解HALLEN S INTEGRAL EQUATION

用MOM求解HALLEN S INTEGRAL EQUATION ，得出电流分布

📅 2013-12-23 02:33:13 ⬇️ 151 👁️ 1,036

this code is a implementation of the Discrete cosinuss transformation. In this code I have used the

this code is a implementation of the Discrete cosinuss transformation. In this code I have used the direct méthode of calcul by used the equation without used the maatrix multiplication.

📅 2013-12-19 16:51:22 ⬇️ 72 👁️ 1,097