New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own Problems.
Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course.
Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin.
This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below
This my phd thesis for the WDM optical network optimization, which employs convex optimization techniques to solve the proposed integer Problems. The computation complexity of my optimization framework is very low compared with other existing method and a performance bound is provided at the same time.
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial
and nancial Problems. Although the Kalman lter is effective in the linear-Gaussian
case, new methods of dealing with sequential data are required with non-standard models.
Recently, there has been renewed interest in simulation-based techniques. The basic idea behind
these techniques is that the current state of knowledge is encapsulated in a representative
sample from the appropriate posterior distribution. As time goes on, the sample evolves and
adapts recursively in accordance with newly acquired data. We give a critical review of recent
developments, by reference to oil well monitoring, ion channel monitoring and tracking
Problems, and propose some alternative algorithms that avoid the weaknesses of the current
methods.
This book is an in-depth exploration into eVB s inherent features, and how to use them to solve likely mobile application programming tasks. After reading the book the reader will be able to write applications tackling a wide array of business Problems for Windows CE-powered devices, both customized and for PocketPC and Handheld PC products. This book will help ease the transition into the language, and provide a reference for even more experienced developers.
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression Problems .It can better deal with the small sample, nonlinear and
FIST可堆疊文件系統，linux文件系統修改相關的開源軟件，使得對linux文件系統功能的改進很簡單了
The FiST (File System Translator) system combines two methods to solve the above Problems in a novel way: a set of stackable file system templates for each operating system, and a high-level language that can describe stackable file systems in a cross-platform portable fashion. Using FiST, stackable file systems need only be described once. FiST s code generation tool, fistgen, compiles a single file system description into loadable kernel modules for several operating systems (currently Solaris, Linux, and FreeBSD). The project demonstrates that with FiST, code size and development time are reduced significantly, while imposing a small performance overhead of only 1-2％. These benefits are achieved, as well as portability, without changing existing operating systems or file system.
Software developers need to have a number of traits in order to practice their
craft well. First, they must be good analytical thinkers and problem solvers. A
developer’s primary role is to create software that solves business Problems.
This requires analyzing customer needs and coming up with successful, creative
solutions.
As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, Mathworks provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering Problems very fast and easy. This article is about how can use these APIs.
OpenSVM was developped under Visual C++ 6.0 SP6,
You can open the workspace file(*.dsw) in the opensvm-src folder.
The folder include the svm.h and svm.cpp which in the libsvm (Copyright (c) 2000-2007 Chih-Chung Chang and Chih-Jen Lin All rights reserved) in the opensvm-src\libsvm.
However, the files svm.h and svm.cpp codes were copied/merged into stdafx.h and stdafx.cpp in order to support the development, and OpenSVM still use other codes of libsvm.
So you can see the libsvm package in the source package.
You can open and build it with Visual C++ 6.0.
Note: the Problems must be in LIBSVM format.
OpenSVM project page:
http://sourceforge.net/projects/opensvm
If you had any question, please mail to:
cloudbyron@gmail.com
Patterns of Enterprise Application Architecture is written in direct response to the stiff challenges that face enterprise application developers. The author, noted object-oriented designer Martin Fowler, noticed that despite changes in technology--from Smalltalk to CORBA to Java to .NET--the same basic design ideas can be adapted and applied to solve common Problems. With the help of an expert group of contributors, Martin distills over forty recurring solutions into patterns. The result is an indispensable handbook of solutions that are applicable to any enterprise application platform
