這是一個(gè)模擬第3類(lèi)模式地震波的matlab腳本。 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 homogeneous elastic unbounded medium. The problem is formulated as a boundary integral EQUATION and the elastodynamic kernels are analytically derived in the spectral domain (spatial wavenumber). The method is explained e.g. by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc.
標(biāo)簽： collection antiplane scripts matlab
上傳時(shí)間： 2013-12-26
上傳用戶(hù)：遠(yuǎn)遠(yuǎn)ssad
ami_snake算法源代碼，ami_snake is an implementationof the 2D snake technique proposedin . It is alevel set method based on the partial di¡ èerential EQUATION.
上傳時(shí)間： 2016-04-09
上傳用戶(hù)：wangyi39
matlab 求解微分方程 ，This module Does FEM analysis of a field problem when the Governing differential EQUATION
上傳時(shí)間： 2016-06-02
上傳用戶(hù)：二驅(qū)蚊器
數(shù)值分析算法源碼(java) 這個(gè)學(xué)期一邊學(xué)習(xí)java一邊學(xué)習(xí)數(shù)值分析,因此用java寫(xiě)了一個(gè)數(shù)值分析算法的軟件包numericalAnalysis. [說(shuō)明] 適合使用者:會(huì)java的,想要學(xué)習(xí)數(shù)值分析算法的人. 本代碼對(duì)照書(shū):數(shù)值分析第二版,史萬(wàn)明等編,北京理工大學(xué)出版社. 本代碼盡量按書(shū)中描述的來(lái)寫(xiě),可以提供參考. [使用方法] 在java的ide中新建一個(gè)項(xiàng)目,把numericalAnalysis包直接拷貝到此項(xiàng)目的源文件夾中,然后要解決什么問(wèn)題,就相應(yīng)的編譯運(yùn)行什么包. 另外有這些類(lèi)的API提供參考,可以自己根據(jù)自己要求寫(xiě)驅(qū)動(dòng)類(lèi).運(yùn)行API文件夾中的index.html文件就行. [包的結(jié)構(gòu)] numericalAnalysis包中又含有9個(gè)包,除function包的是接口外,其余包都含有一個(gè)獨(dú)立的數(shù)值分析問(wèn)題的類(lèi)以及其驅(qū)動(dòng)類(lèi).9個(gè)包如下: differential:微分問(wèn)題 EQUATION:方程 function:只含一個(gè)接口,用來(lái)讓用戶(hù)寫(xiě)自己的函數(shù) functionApproximation:離散情況下函數(shù)逼近問(wèn)題 integration:積分問(wèn)題 interpolation:插值問(wèn)題 linearEQUATIONGroup:線性方程組問(wèn)題(包括過(guò)定方程組) norm:求解向量和矩陣的范數(shù) ode:常微分方程數(shù)值解的求解
標(biāo)簽： java numericalAnalysis 數(shù)值分析 算法
上傳時(shí)間： 2014-01-04
上傳用戶(hù)：wff
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference EQUATION representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
標(biāo)簽： identification considered features separati
上傳時(shí)間： 2016-09-20
上傳用戶(hù)：FreeSky
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 generating system. The considered system representations are input/state/output, difference EQUATION, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
標(biāo)簽： identification time-invariant presented emphasis
上傳時(shí)間： 2013-12-28
上傳用戶(hù)：wfl_yy
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.
標(biāo)簽： differential bandwidth simulates system
上傳時(shí)間： 2014-01-03
上傳用戶(hù)：784533221
數(shù)值分析高斯——列主元消去法主程序 說(shuō)明如下： ％ a----input,matrix of coefficient ％ b----input,right vector ％ sol----output,returns the solution of linear EQUATION
標(biāo)簽： input coefficient matrix vector
上傳時(shí)間： 2017-01-01
上傳用戶(hù)：dancnc
Mapack可用來(lái)做矩陣運(yùn)算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least Squares solver, Eigenproblem solver, EQUATION System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.
標(biāo)簽： Mapack computations supports algebra
上傳時(shí)間： 2017-01-26
上傳用戶(hù)：tb_6877751
This is a short text on arrays and pointers in C with an emphasis on using multi-dimensional arrays. The seemingly unrelated C rules are explained as an attempt to unify arrays and pointers, replacing arrays and the basic array EQUATION by a new notation and special rules
標(biāo)簽： multi-dimensional emphasis pointers arrays
上傳時(shí)間： 2017-03-08
上傳用戶(hù)：13215175592
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