Banerjee S Fractal Patterns With Matlab 2024
Exploratory Data Analysis with MATLAB [Repost] eBooks & eLearning
Posted by ChrisRedfield at Dec. 3, 2017
![Exploratory Data Analysis with MATLAB [Repost]](https://pixhost.icu/avaxhome/97/1d/004d1d97_medium.jpg)
Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka, Angel Martinez - Exploratory Data Analysis with MATLAB
Published: 2004-11-29 | ISBN: 1584883669 | PDF | 424 pages | 6.14 MB
Exploratory Data Analysis with MATLAB eBooks & eLearning
Posted by ChrisRedfield at Aug. 1, 2013
Wendy L. Martinez, Angel Martinez - Exploratory Data Analysis with MATLAB
Published: 2004-11-29 | ISBN: 1584883669 | PDF | 424 pages | 11 MB
Optimization for Robot Modelling with MATLAB eBooks & eLearning
Posted by AvaxGenius at May 25, 2020
Optimization for Robot Modelling with MATLAB by Hazim Nasir Ghafil
English | EPUB | 2020 | 229 Pages | ISBN : 3030404099 | 52.88 MB
This book addresses optimization in robotics, in terms of both the configuration space and the metal structure of the robot arm itself; and discusses, describes and builds different types of heuristics and algorithms in MATLAB.
Graphics and GUIs with MATLAB, 3 Ed. (repost) eBooks & eLearning
Posted by Veslefrikk at March 11, 2015
Patrick Marchand, O. Thomas Holland, " Graphics and GUIs with MATLAB, 3 Ed."
ISBN: 1584883200 | edition 2002 | PDF | 523 pages | 14 mb
ISBN: 1584883200 | edition 2002 | PDF | 523 pages | 14 mb
Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms, 2nd Edition eBooks & eLearning
Posted by hill0 at April 20, 2021
Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms, 2nd Edition
by Caner Ozdemir
English | 2021 | ISBN: 1119521335 | 664 Pages | PDF | 54 MB
by Caner Ozdemir
English | 2021 | ISBN: 1119521335 | 664 Pages | PDF | 54 MB
Numerical Computing with MATLAB, Revised Reprint (repost) eBooks & eLearning
Posted by roxul at May 27, 2017
Cleve B. Moler, "Numerical Computing with MATLAB, Revised Reprint"
English | ISBN: 0898716608 | 2010 | 370 pages | PDF | 5 MB
English | ISBN: 0898716608 | 2010 | 370 pages | PDF | 5 MB
Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB (repost) eBooks & eLearning
Posted by naag at March 21, 2017
Amir Beck, "Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB"
English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB
English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB
Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave eBooks & eLearning
Posted by AvaxGenius at Feb. 5, 2017
Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave By Svein Linge, Hans Petter Langtangen
English | PDF | 228 Pages | 2016 | ISBN : 3319324519 | 4.12 MB
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python.
Digital Signal Processing with Matlab Examples, Volume 1 (Repost) eBooks & eLearning
Posted by AvaxGenius at Oct. 23, 2017
Digital Signal Processing with Matlab Examples, Volume 1: Signals and Data, Filtering, Non-stationary Signals, Modulation By Jose Maria Giron-Sierra
English | EPUB | 2017 | 622 Pages | ISBN : 9811025339 | 15.87 MB
This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
Digital Signal Processing with Matlab Examples, Volume 1 (Repost) eBooks & eLearning
Posted by AvaxGenius at Dec. 27, 2017
Digital Signal Processing with Matlab Examples, Volume 1: Signals and Data, Filtering, Non-stationary Signals, Modulation By Jose Maria Giron-Sierra
English | EPUB | 2017 | 622 Pages | ISBN : 9811025339 | 15.87 MB
This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.