A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post analyses. Results are generated with and without market adjustments in the data. A readme.txt. file in the .zip folder describes each script and how to use it
富士通單片機MB902420系列
CAN Project:
CAN0 will work as a simple Repeater.
Received data will appear at Port P47..P40 (UserLEDs of FlashCan100P)
and will send out again as byte-packages to ID#2
Receive-Buffer #1 : basic can
Transmit-Buffer #6 : full-can ID #2
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error function is used.
The point at which a local minimum is achieved is returned as
CENTRES.
The jxcell allows any Java developer to automate any manual spreadsheet process within their organization.
Automate the delivery of Excel reports and give your users the data they need in the format they want.
Web-enable your existing spreadsheet business logic as a scalable server-side calculation engine.
embed Excel-compatible grids in applets and applications to automate spreadsheet data entry processes.
enables you to integrate Excel-compatible spreadsheet functionality in your Windows applications without relying on Excel or writing VBA code.
The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples.
The returned model has the form
1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2)
2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2)
看不懂，據高手說，非常有用。
Data_Structures_and_Algorithms - These notes accompany Data Structures and Algorithms II. The course, to a large extent, follows on from
Data Structures and Algorithms I. However, while DS&A I focused on fundamental datastructures, DS&A II
will focus on practical algorithms, applicable to a wide range of tasks. The approach will be somewhat less
formal, with a little more focus on applications.
Welcome to Beginning Algorithms, a step-by-step introduction to computing algorithms for the real world.
Developers use algorithms and data structures every day of their working lives. Having a good understanding
of these algorithms and knowledge of when to apply them is essential to producing software
that not only works correctly, but also performs efficiently.
This book aims to explain those algorithms and data structures most commonly encountered in day-today
software development, while remaining at all times practical, concise, and to the point, with little or
no verbiage to distract from the core concepts and examples.
Matlab is an ideal tool for simulating digital communications systems, thanks to
its easy scripting language and excellent data visualization capabilities. One of the
most frequent simulation tasks in the field of digital communications is bit-error-
rate testing of modems. The bit-error-rate performance of a receiver is a figure of
merit that allows different designs to be compared in a fair manner. Performing
bit-error-rate testing withMatlab is very simple, but does require some prerequisite
knowledge
MATFOR FFT Visual Fortran program.
MATFOR Extensions, as implied in the name, are data or components external to MATFOR modules that can be used to add versatility to MATFOR programs. Currently there are two types of extensions available with MATFOR, they are MATLAB Interface and Tecplot FileIO. MATLAB Interface, a new feature in MATFOR 4.1, provides MATFOR users access to MATLAB functions so they can obtain functionality that has not been built into MATFOR. The ability of using MATLAB functions makes MATFOR an ideal tool for those who create prototypes using MATLAB, then do implementation in C++ and other programming languages. Through the use of MATFOR, users may perform quick results comparisons between MATLAB and other languages.
