Principles in Theory of Computation
The Fractal Hyper Computer: Dawn of a New Era eBooks & eLearning
Posted by AlenMiler at Jan. 20, 2019
The Fractal Hyper Computer: Dawn of a New Era by Lawrence Byng
English | July 11, 2014 | ASIN: B00LQFEYUU | 274 pages | MOBI | 9.44 MB
English | July 11, 2014 | ASIN: B00LQFEYUU | 274 pages | MOBI | 9.44 MB
Fluid Dynamics and Heat Transfer of Turbomachinery [Repost] eBooks & eLearning
Posted by ChrisRedfield at June 29, 2014
![Fluid Dynamics and Heat Transfer of Turbomachinery [Repost]](https://pixhost.icu/avaxhome/f8/b8/002db8f8_medium.jpeg)
Budugur Lakshminarayana - Fluid Dynamics and Heat Transfer of Turbomachinery
Published: 1995-12-01 | ISBN: 0471855464 | PDF + DJVU | 848 pages | 45 MB
An Introduction to Computation and Modeling for Differential Equations eBooks & eLearning
Posted by arundhati at Sept. 6, 2014
Lennart Edsberg, "An Introduction to Computation and Modeling for Differential Equations"
2008 | ISBN-10: 0470270853 | 256 pages | EPUB | 8 MB
2008 | ISBN-10: 0470270853 | 256 pages | EPUB | 8 MB
Introduction to Computation and Modeling for Differential Equations, 2 edition eBooks & eLearning
Posted by interes at Feb. 11, 2016
Introduction to Computation and Modeling for Differential Equations, 2 edition by Lennart Edsberg
English | 2015 | ISBN: 1119018447 | 288 pages | PDF | 2 MB
English | 2015 | ISBN: 1119018447 | 288 pages | PDF | 2 MB
An Introduction to Computation and Modeling for Differential Equations (repost) eBooks & eLearning
Posted by roxul at Jan. 8, 2017
Lennart Edsberg, "An Introduction to Computation and Modeling for Differential Equations"
2008 | ISBN-10: 0470270853 | 256 pages | EPUB | 8 MB
2008 | ISBN-10: 0470270853 | 256 pages | EPUB | 8 MB
Introduction to Computation and Modeling for Differential Equations, 2 edition (repost) eBooks & eLearning
Posted by interes at April 7, 2019
Introduction to Computation and Modeling for Differential Equations, 2 edition by Lennart Edsberg
English | 2015 | ISBN: 1119018447 | 288 pages | PDF | 2 MB
English | 2015 | ISBN: 1119018447 | 288 pages | PDF | 2 MB
Coding Project - Programming Finite State Machines eBooks & eLearning
Posted by lucky_aut at Sept. 20, 2024
Coding Project - Programming Finite State Machines
Last updated 3/2021
Duration: 2h1m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.17 GB
Genre: eLearning | Language: English
Last updated 3/2021
Duration: 2h1m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.17 GB
Genre: eLearning | Language: English
C/C++ Projects, Library Design, System Projects, Programming based Course, Data Structures and Algorithms, Automata, TOC
Computational Finance (Atlantis Studies in Computational Finance and Financial Engineering eBooks & eLearning
Posted by roxul at Feb. 16, 2021
Arratia, "Computational Finance (Atlantis Studies in Computational Finance and Financial Engineering "
English | ISBN: 946239069X | 2014 | 312 pages | EPUB | 6 MB
English | ISBN: 946239069X | 2014 | 312 pages | EPUB | 6 MB
Finitely Supported Mathematics: An Introduction eBooks & eLearning
Posted by Underaglassmoon at Aug. 1, 2016
Finitely Supported Mathematics: An Introduction
Springer | Theoretical Computer Science | Sep 2 2016 | ISBN-10: 3319422812 | 185 pages | pdf | 1.69 mb
Springer | Theoretical Computer Science | Sep 2 2016 | ISBN-10: 3319422812 | 185 pages | pdf | 1.69 mb
Authors: Alexandru, Andrei, Ciobanu, Gabriel
Presents an alternative set theory dealing with a more relaxed notion of infiniteness
Shows the principles of constructing FSM have historical roots in the definition of Tarski logical notions and in the Erlangen Program of Klein
Useful for researchers and graduate students in computer science and mathematics, particularly those engaged with logic and set theory
Advances in Unconventional Computing: Volume 1: Theory eBooks & eLearning
Posted by Jeembo at April 27, 2017
Advances in Unconventional Computing: Volume 1: Theory by Andrew Adamatzky
English | 2017 | ISBN: 3319339230 | 874 Pages | PDF | 96.0 MB
English | 2017 | ISBN: 3319339230 | 874 Pages | PDF | 96.0 MB
The unconventional computing is a niche for interdisciplinary science, cross-bred of computer science, physics, mathematics, chemistry, electronic engineering, biology, material science and nanotechnology.