Many applications in computer graphics require complex, highly
detailed models. However, the level of detail actually necessary
may vary considerably. To control processing time, it is often desirable
to use approximations in place of excessively detailed models.
windows開源代碼
Microsoft Windows is a complex operating system. It offers so many features and does so much that it s impossible for any one person to fully understand the entire system. This complexity also makes it difficult for someone to decide where to start concentrating the learning effort. Well, I always like to start at the lowest level by gaining a solid
Subroutine MCHOLSK :To solves a hermitian positive definite set of
complex linear simultaneous equations (AX=B) using the Cholesky
decomposition method.
This the implementation of structural SVM for training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative exposed surface area, profiles and their various interaction into the alignment model. It was developed under Linux and compiles under gcc, built upon the svm^light software by Thorsten Joachims.
Using the UnderC Tokenizer Class
It s often necessary to parse complex text files, where standard i/o
is too clumsy. C programmers fall back on strtok(), but this can be
tricky to use properly. Besides, you are still responsible for keeping
strtok() fed with new input, and I don t like the schlepp.
Tokenizer is a text-parsing input stream, modelled after the (undocumented)
VCL TParser class, and based on the UnderC tokenizing preprocessor front-end.
The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa.
For example,
>> project.name = MyProject
>> project.id = 1234
>> project.param.a = 3.1415
>> project.param.b = 42
becomes with str=xml_format(project, off )
"<project>
<name>MyProject</name>
<id>1234</id>
<param>
<a>3.1415</a>
<b>42</b>
</param>
</project>"
On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).
