這是一個模擬第3類模式地震波的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.
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.
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
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.
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.
Mapack可用來做矩陣運算
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.
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
