Gauss Aptech

Aptech GAUSS 10.0.0.1276  Software

Posted by Dizel_ at Jan. 15, 2010
Aptech GAUSS 10.0.0.1276

Aptech GAUSS 10.0.0.1276 | 27.42 MB

GAUSS Mathematical and Statistical System An easy-to-use data analysis, mathematical and statistical environment based on the powerful, fast and efficient GAUSS Matrix Programming Language GAUSS is used to solve real world problems and data analysis problems of exceptionally large scale Program development and program execution are FAST!

Aptech GAUSS v8.0.0.910  Software

Posted by webgurru at Sept. 25, 2006
Aptech GAUSS v8.0.0.910
Aptech GAUSS v8.0.0.910

Aptech GAUSS v8.0.0.910 | Win32 | Size: 17.50 MB

GAUSS 8.0 includes a number of new features and enhancements which dramatically increase your ability to optimize your programs.

Features and Enhancements

* Sparse matrix data type
* GAUSS Profiler
* Sparse matrix and structure support in GAUSS Data Archives
* Several new GDA functions
* New functions for testing hypotheses about constrained models
* New standard deviation functions
* Support for adding structures to libraries
* Support for extra library paths
* Improved file/line number handling in error returns

Aptech GAUSS Engine v8.0.0.910  Software

Posted by webgurru at Sept. 25, 2006
Aptech GAUSS Engine v8.0.0.910
Aptech GAUSS Engine v8.0.0.910

Aptech GAUSS Engine v8.0.0.910 | Win32 | Size: 20.16 MB

Are you looking for a way to leverage the depth of knowledge and innovation contained within your research departments?

Would you like to realize the full potential of your GAUSS programs to enhance critical decision making processes throughout your company or group?

Would you like to design software with highly specialized numerical capabilities more quickly than is possible using conventional mathematical libraries?

Aptech GAUSS Data Tool v8.0.0.910  Software

Posted by webgurru at Sept. 25, 2006
Aptech GAUSS Data Tool v8.0.0.910
Aptech GAUSS Data Tool v8.0.0.910

Aptech GAUSS Data Tool v8.0.0.910 | Win32 | Size: 11.64 MB

GAUSS Data Tool is a stand-alone program for working with GAUSS data sets. GAUSS Data Tool loads the columns of the data sets into a workspace as vectors where they can be transformed or modified using simple intuitive statements. Data sets can also be created by simulation using a variety of models, e.g., probit, logit, GARCH, linear. A new version of a data set can be generated where missing data are replaced by single or multiple imputations from a maximum likelihood estimation using the EM algorithm.

Variables can be copied from one data set to another. Data sets can be merged on the basis of a keylist; i.e., one or more columns that uniquely define the observations. They can be concatenated, sorted, or added to. Variables can be dropped or kept, or modified in complex ways using any of the GAUSS operators or functions, including its powerful matrix operations.

GAUSS Data Tool is customizable by adding your own functions for modifying data. Hooks are described in the manual for adding your own procedures for simulating data or handling missing data. For the Windows version, a graphical user interface provides much of this capability in menus, toolbars, and dialogues, as well as a command line interface that turns data handling into a set of simple direct statements that make short work of complex data problems.
Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters (repost)

Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters by Norman Morrison
English | ISBN: 1849195544 | 2012 | PDF | 578 pages | 31,3 MB

Carl Friedrich Gauss: Titan of Science  eBooks & eLearning

Posted by Jeembo at March 15, 2017
Carl Friedrich Gauss: Titan of Science

Carl Friedrich Gauss: Titan of Science by G. Waldo Dunnington, Jeremy Gray, Fritz-Egbert Dohse
English | 2004 | ISBN: 088385547X | 595 Pages | DJVU | 17.3 MB

This biography of Gauss, by far the most comprehensive in English, is the work of a professor of German, G. Waldo Dunnington, who devoted most of his scholarly career to studying the life of Germany's greatest mathematician.

Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters (repost)  eBooks & eLearning

Posted by interes at Aug. 3, 2014
Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters (repost)

Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters by Norman Morrison
English | ISBN: 1849195544 | 2012 | PDF | 578 pages | 31,3 MB

For almost 50 years the Kalman filter has been the accepted approach to tracking filter engineering. At the start of the Satellite Age in 1958, Gauss-Newton tracking filters were tried but had to be ruled out for real-time use because of the speed limitations of existing computers.

Aptech Training Full  eBooks & eLearning

Posted by groovebeat at Nov. 13, 2013
Aptech Training Full

Aptech Training Full
DVD | ISO | VOB @ 1 Mbit/s | 1020x711 | 4.48 GB
Genre: Development / Programming, C#, Java, SQL | Language: English

Aptech Computer Education is one of the premier education institutes with 27 years of experience in the field of IT training. It has trained over 65 lakhs professional in over 40 countries. The institute provides a wide variety of career, professional, short term and certification courses, designed by our expert academicians after careful market study and research. All the courses are taught by experienced and certified faculty. Our trainers constantly update their technical skills to maintain their expertise.

Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters  eBooks & eLearning

Posted by avava at May 13, 2013
Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters

Norman Morrison, "Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters"
Publisher: Institution for En and Tech | ISBN: 1849195544 | 2012 | PDF | 578 pages | 31.3 MB

Elliptic and Modular Functions from Gauss to Dedekind to Hecke  eBooks & eLearning

Posted by Underaglassmoon at June 2, 2017
Elliptic and Modular Functions from Gauss to Dedekind to Hecke

Elliptic and Modular Functions from Gauss to Dedekind to Hecke
Cambridge | English | 2017 | ISBN-10: 1107159385 | 488 pages | PDF | 4.47 mb

by Ranjan Roy (Author)