The jacobi.f program solves the Helmholtz equation on a regular mesh, using an iterative Jacobi method with over-relaxation. Parallelism is exploited in both the solver and the numerical error checking
Programs in the irregular grid design package described in this manual are used to carry out five main functions:
verification and adjustment of coastline and bathymetric data
preparation of an irregular triangular depth grid covering the domain to be modelled
production of a preliminary irregular triangular model grid with nodes suitably positioned for accurate and efficient numerical modelling
interactive checking and editing, including trimming and joining, of model grid
display and plotting of model output.
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
Digital Signal and Image Processing Using MATLAB
The most important theoretical aspects of image and signal processing (ISP) for both deterministic and random signals are covered in this guide to using MATLAB® . The discussion is also supported by exercises and computer simulations relating to real applications such as speech processing and fetal-heart–rhythm tracking, and more than 200 programs and functions for numerical experiments are provided with commentary.
本文檔介紹了如何使用各種內嵌工具，函數和其他一些小技巧來加強使用matlab的速度和效率，是廣大愛好者必讀的文檔。具體內容請參閱文檔。
Learn how to use the Profiler tool, vectorized functions, and other tricks to writing efficient MATLAB code. This article includes how to convert any array into a column vector, bounding a value without if statements, and repeating/tiling a vector without repmat.
Contents:
* The Profiler
* Array Preallocation
* JIT Acceleration
* Vectorization
* Inlining Simple Functions
* Referencing Operations
* Numerical Integration
* Signal Processing
* Miscellaneous Tricks
It was proposed that perfect invisibility cloaks can be constructed for hiding objects from electromagnetic
illumination (Pendry et al., Science 312, p. 1780). The cylindrical cloaks experimentally
demonstrated (Schurig et al., Science 314, p. 997) and theoretically proposed (Cai et al., Nat. Photon.
1, p. 224) have however simplified material parameters in order to facilitate easier realization
as well as to avoid infinities in optical constants. Here we show that the cylindrical cloaks with
simplified material parameters inherently allow the zeroth-order cylindrical wave to pass through
the cloak as if the cloak is made of a homogeneous isotropic medium, and thus visible. To all
high-order cylindrical waves, our numerical simulation suggests that the simplified cloak inherits
some properties of the ideal cloak, but finite scatterings exist.
Using an easy-to-follow format, this book explains the basics of MATLAB up front. You ll find out how to plot functions, solve algebraic equations, and compute integrals. You ll also learn how to solve differential equations, generate numerical solutions of ODEs, and work with special functions. Packed with hundreds of sample equations and explained solutions, and featuring end-of-chapter quizzes and a final exam, this book will teach you MATLAB essentials in no time at all.
In the last decade the processing of polygonal meshes has
emerged as an active and very productive research area. This
can basically be attributed to two developments:
Modern geometry acquisition devices, like laser scanners
and MRT, easily produce raw polygonal meshes of
ever growing complexity
Downstream applications like analysis tools (medical
imaging), computer aided manufacturing, or numerical
simulations all require high quality polygonal meshes
as input.
The need to bridge the gap between raw triangle soup data
and high-quality polygon meshes has driven the research on
ecient data structures and algorithms that directly operate
on polygonal meshes rather than on a (most often not
feasible) intermediate CAD representation.
opencv OpenCV is cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It
does not rely on external numerical libraries, though it can make use of some of them (see below) at
runtime, if they are available
