Free mcgraw hill science engineering math software for linux

Software Engineering Environment (SEE) is frame for manufacturing information. It is implemented in sevlet and xml, and is used by the web-browser.
Software Engineering Environment (SEE) attempts to provide the information manufacturing platform for software development.
SEE is a free project, that is the author will provide all of its source code at the same time.
It runs in any servlet environment (The author merely verified in the Win and Linux environment), not using any special technique and needs no auxiliary program.
All of its data are saved in XML files, and need not database. (The future release will support the option of saving data, so that the user can select some free database, such as mysql, or commercial database to improve SEE speed.)
This means that the user can run SEE without any money. (Tomcat is a free servlet environment.)
User uses all SEE functions with the web-browser. So information sharing is very convenient.
SEE supports Simplified Chinese, Traditional Chinese, and English now.( It will support any language if someone will translate.) User can switch to interfaces in different language at any time when SEE is running. And user can add language translations which will work at once.
The main body of SEE is a frame for information manufacturing. All information included in it can be costumed dynamically and all changes will get into effect immediately. This means that the user can modify or add her/his own information structure as will at any time.
SEE provides various predefined selections for information attributes, which correspond various predefined information manufacturing patterns. The user can focus on the information description when costuming information definition, and the system will implement the functions automatically. This is the core of SEE. Most functions of SEE are in this model.
The default information definition of SEE is the result that the author understands what is the Software Engineering.
Although the target of SEE is helping for software development, actually, user can use it to design any type information, such as book registering, personnel lists, and financial reports etc.
The speed of SEE is not bad. Reading and writing 20000 records needs no more than 1 second. At present, the sorting speed is 9 seconds for 5000 records. (The testing platform is 1.8G CPU and 256M memory)
Enhancements:
- The data interface to prepare supporting databases.
- The databases are not supported in this release.
- A new interface style "Beautiful Flowers".
- These flowers are photoed in parks in this year by the author.
- The author likes the honeybee who holds a flower in its mouth very much. It is the first cartoon figure by the author. It will appear when you save wrong data. :)
- The function of "Personal Message".
- User can only query the messages sent by and sent to herself/himself. And user can only remove the messages sent to herself/himself.
- After a user read a message sent to her/him, SEE will mark it as "have_read" automatically.
- The number of new arrived messages will be shown in the interface.
- The data privileges management
- When user "Remove All" or "Modify All", the "base conditions" will be checked at first. That is user can only do what she/he can do.
- The Password fields values can not be visited, except when the user, who owns the "Import" privilege to current data, exports the data.
- All the data structures of ACL tables are changed! Their keywords become the "Title". This will permit user define better ACL.
- And the "condition" in the ACL tables are implemented completely. Now any "SEE conditions" is valid.
- Snapshot for image file
- When list the data, a snapshot will be shown for the image files type, which may end with jpg/jpeg/gif/png.
- Data sorting concerned with langauges.
- Thus when sorting data in Chinese, the result is Chinese result.
- General users can not visit the "User" table! Then they can not fill in many data!
- This is a fatal bug! This means all former releases can not be used actually!
- Now all ACL tables are redesigned.
- When a new user is added without password, SEE will add some password itself! Then this new user can never login!
- This is another fatal bug!
- In the last English release, which is 0.06, the ACL data are in Chinese!
- So the English users can not use SEE at all~~
- This is still a fatal bug!
- The "Risk Items" in the table "Deviation Handling" is wrong defined.
- This will cause an error information when user clicks the "Select" button.
- The values of Password fields can be visited when query or export.
- Although the values are meaningless encoded codes, they are still security thread.
- When some quota marks in the key values, pages will report errors and the function buttons, such as Modify and Remove, can not act!
- This is because quota is also an element of web page.
- When the interface language changes, the language in audit records changes too!
- This is not permitted. Language of all data is determined when SEE is installed and can not change with interface!

Kaboot Linux Operating system aims to provide an operating system which you can take anywhere and has all your favourite programs on.

Kaboot operating system is avaliable as a Live CD or Live USB you can take with you anywhere.

A number of different versions are avaliable, two optimised for size or speed, one for functionality, and one science based.

All containing a host of useful programs able to boot virtually any computer (meeting the minimum requirements) from CD and

USB.Kaboot is still in active development and if you find a bug or fix, you can let me know in the forums.

Kaboot Science - contains a number of Scientific programs already setup and ready to go, with the purpose of introducing those unconvinced by the power of open source programs.

Packge List:

net-dialup/rp-pppoe
x11-misc/adesklets
media-gfx/scrot
sys-apps/coldplug
x11-misc/pypanel
sys-apps/slocate
sys-kernel/linux-headers
app-office/gnumeric
sys-devel/gettext
media-gfx/feh
sci-calculators/galculator
x11-themes/commonbox-styles
x11-themes/openbox-themes
app-admin/syslog-ng
sci-chemistry/easychem
app-admin/testdisk
sys-process/vixie-cron
x11-misc/obconf
sys-boot/grub
perl-core/ExtUtils-MakeMaker
x11-misc/bbrb
x11-misc/gdeskcal
net-ftp/gftp
sci-astronomy/predict
sci-astronomy/stellarium
x11-wm/openbox
x11-base/xorg-x11
net-misc/dhcpcd
app-admin/torsmo
media-gfx/gnuplot
sci-mathematics/octave
sys-libs/glibc
sci-libs/gsl
www-client/mozilla-firefox
app-editors/nano
app-arch/gzip
sys-apps/pcmcia-cs
net-im/gaim
net-dialup/mingetty
sys-apps/hotplug
app-editors/cute
sci-chemistry/ghemical
x11-terms/aterm
app-office/abiword
sci-calculators/qalculate-units

AI::DecisionTree is Perl module for automatically Learns Decision Trees.

SYNOPSIS

use AI::DecisionTree;
my $dtree = new AI::DecisionTree;

# A set of training data for deciding whether to play tennis
$dtree->add_instance
(attributes => {outlook => sunny,
temperature => hot,
humidity => high},
result => no);

$dtree->add_instance
(attributes => {outlook => overcast,
temperature => hot,
humidity => normal},
result => yes);

... repeat for several more instances, then:
$dtree->train;

# Find results for unseen instances
my $result = $dtree->get_result
(attributes => {outlook => sunny,
temperature => hot,
humidity => normal});

The AI::DecisionTree module automatically creates so-called "decision trees" to explain a set of training data. A decision tree is a kind of categorizer that use a flowchart-like process for categorizing new instances. For instance, a learned decision tree might look like the following, which classifies for the concept "play tennis":

OUTLOOK
/ |
/ |
/ |
sunny/ overcast rainy
/ |
HUMIDITY | WIND
/ *no* /
/ /
high/ normal /
/ strong/ weak
*no* *yes* /
*no* *yes*

(This example, and the inspiration for the AI::DecisionTree module, come directly from Tom Mitchells excellent book "Machine Learning", available from McGraw Hill.)

A decision tree like this one can be learned from training data, and then applied to previously unseen data to obtain results that are consistent with the training data.

The usual goal of a decision tree is to somehow encapsulate the training data in the smallest possible tree. This is motivated by an "Occams Razor" philosophy, in which the simplest possible explanation for a set of phenomena should be preferred over other explanations. Also, small trees will make decisions faster than large trees, and they are much easier for a human to look at and understand. One of the biggest reasons for using a decision tree instead of many other machine learning techniques is that a decision tree is a much more scrutable decision maker than, say, a neural network.

The current implementation of this module uses an extremely simple method for creating the decision tree based on the training instances. It uses an Information Gain metric (based on expected reduction in entropy) to select the "most informative" attribute at each node in the tree. This is essentially the ID3 algorithm, developed by J. R. Quinlan in 1986. The idea is that the attribute with the highest Information Gain will (probably) be the best attribute to split the tree on at each point if were interested in making small trees.

Open Ski Jumping project is a ski jumping game. Its a simulation game for the console and/or X11.

It contains fairly good graphics, and features like replays and hill records.

Ump is a program in which all sorts of calculations can be done, from the simplest to the more advanced. It handles complex numbers and matrices of those.

The complex numbers are built up by either floating point values or ratios of arbitrary sized integers. Ump also draws graphs, ordinary, polar, and parameter, which is done through an easy to use user interface.

Unnamed Math Program is also possible to write your own functions using the built in editor.

ASCEND is a flexible modelling environment for solving hard engineering and science problems. It offers:
- an object-oriented model description language for describing your system,
- an interactive user interface that allows you to solve your model and explore the effect of changing the model parameters, and
- a scripting environment that allows you to automate your more complex simulation problems.
The project was originally written at Carnegie Mellon University in the 1980s and includes powerful and reliable solver routines that analyse the structure of your model and can solve thousands of simultaneous nonlinear equations in a few seconds on everyday computer hardware. It is under active development and is licensed under the GNU General Public License ensuring that it is free software and will remain free.

WWW::Scraper::CraigsList is a Perl module for scrapes CraigsList.
SYNOPSIS
require WWW::Scraper;
$search = new WWW::Scraper(CraigsList);
This class is an CraigsList specialization of WWW::Search. It handles making and interpreting CraigsList searches http://www.CraigsList.com.
This class exports no public interface; all interaction should be done through WWW::Search objects.
OPTIONS
None at this time (2001.04.25)
search_url=URL
Specifies who to query with the CraigsList protocol. The default is at http://www.CraigsList.com/cgi-bin/job-search.
search_debug, search_parse_debug, search_ref Specified at WWW::Search.
Internet/Web Engineering Category options: - ALL JOBS art - web design jobs bus - business jobs mar - marketing jobs eng - internet engineering jobs etc - etcetera jobs wri - writing jobs sof - software jobs acc - finance jobs ofc - office jobs med - media jobs hea - health science jobs ret - retail jobs npo - nonprofit jobs lgl - legal jobs egr - engineering jobs sls - sales jobs sad - sys admin jobs tel - network jobs tfr - tv video radio jobs hum - human resource jobs tch - tech support jobs edu - education jobs trd - skilled trades jobs
Checkboxes - additive to search(?)
addOne value=telecommuting - telecommute addTwo value=contract - contract addThree value=internship - internships addFour value=part-time - part-time addFive value=non-profit - non-profit
Enhancements:
- Perl