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labelbackground:none repeat scroll 0 0 FFF;color:888;display:block;font:10px/10px arial, sans-serif;left:0;padding:0 5px 0 a float:left;position:relative;padding:0 0 0 spandisplay:block;float:left;height:20px;margin:0 5px 5px;width:20pxProfilebox-shadow:0 0 0 1px eee background:0 0;border-bottom:none;font-size:24px;min-height:100px;padding:20px 10px 0 80pxProfile header h1, Profile header h4display:inlineProfile header h2, ProfileDownload header h2color:888;nowhitespace:afterproperty;font-size:13px;font-weight:400;line-height:16px;margin:0 0 10pxProfile header min-height:80px;padding:20px 10px 0 ul lidisplay:block;float:left;height:20px;margin:0 ul li ul li ul li ul border-bottom:1px solid eee;float:left;max-height:3000px;padding:10px 0 -communityborder-top:1px solid eee;display:inline-block;height:70px;left:0;margin:10px 0 0 -community:beforebackground:none repeat scroll 0 0 fff;color:888;content:Comunidad;display:block;font:10px/10px arial, sans-serif;left:0;padding:2px 10px 2px 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From The MathWorks: MATLAB integrates mathematical computing, visualization, and also a powerful language to supply a flexible environment for technical computing. The open architecture allows to use MATLAB as well as companion products for more information on data, create algorithms, that will create custom tools that supply early insights and competitive advantages.
So Matlab is a reasonably robust platform for everyone with a basic programming background as a way to quickly produce algorithms to complete a number of things. I have used it to automate image analysis and statistical analysis of biological data. I find it generally useful, I feel very strongly that Mathworks features a particularly greedy business structure, where various bugs usually are not addressed before yearly update, that you may have to pay for again. Usually when a product includes a flaw, the organization wants to repair it, to ensure when they release the modern product, their base of happy users will buy it. Mathworks seems to make use of the opposite approach, it normally won't fix the bugs, of course, if you want them fixed you HAVE to buy the newest one, then discover a lot more bugs they again wont fix should you not pay grrr. I concur that their customer care staff is rude.
Reply by houdaelectro on October 4, 2011
there is absolutely nothing tht i wouldn't like.
in kasas univercity i learnt with this product.
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may be the high-level language and interactive environment utilized by millions of engineers and scientists worldwide. It helps you to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.
You may use MATLAB in projects including modeling energy consumption to develop smart power grids, developing control algorithms for hypersonic vehicles, analyzing weather data to visualize the track and power of hurricanes, and running countless simulations to pinpoint optimal dosing for antibiotics.
Explore, visualize, and model your data
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Discover more details on MATLAB by exploring these resources.
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Analyze and model data, find optimal solutions, and perform symbolic math computations.
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Design, price, and hedge complex financial instruments
Scale your workflow using multicore desktops, GPUs, clusters, grids, and clouds.
Perform parallel computations on multicore computers, GPUs, and computer clusters
Perform MATLAB and Simulink computations on clusters, clouds, and grids
Share the project you do in MATLAB with other people.
Run MATLAB analytics as an element of web, database, and enterprise applications
GPU Computing with MATLAB Learn how MATLAB users can leverage NVIDIA GPUs to accelerate computationally intensive applications in areas including image processing, signal processing, and computational finance.
MATLAB Programming Techniques Training This course provides hands-on experience utilizing the features within the MATLAB language to post efficient, robust, and well-organized code.
Use MATLAB for Big Data, Machine Learning and Production Analytics Systems.
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a Run the Installer. When inquired about the license, copy the content from the
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Mathworks Matlab R2011a v7.12 Build 635 UPD ISO 5 GB
Mathworks Matlab R2011a v7.12 Build 635 UPD ISO 5 GB
MATLAB is often a highlevel technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you are able to solve technical
Release 2011a includes the latest features in MATLAB and Simulink, two new items, and updates and bug fixes to 81 other products.
English EPUB 288 pages 5.71 MB
Environmental Data Analysis with MatLab is designed for students and researchers accommodating analyze real data sets from the environmental sciences. One just has to consider the international warming debate to comprehend how essential it is in order to derive clear conclusions from often-noisy data drawn at a broad array of sources. This book teaches the basics with the underlying theory of knowledge analysis, after which reinforces that knowledge with carefully chosen, realistic scenarios. MatLab, an advert data processing environment, is utilized in these scenarios; significant submissions are devoted to teaching the actual way it can be effectively utilised in an environmental data analysis setting. The book, though designed in a self-contained way, is supplemented with data sets and MatLab scripts that could be used like a data analysis tutorial.
Essential MATLAB for Engineers and Scientists, Third Edition by Brian Hahn, Dan Valentine
Publisher: ISBN: 0750684178 edition 2007 PDF 449 pages 7, 2 mb
This text presents MATLAB both like a mathematical tool along with a programming language, giving a compressed and easy to learn introduction to its potential and power. Stressing the value of a structured method of problem solving, the link gives a step-by-step means for program design and algorithm development. The fundamentals of MATLAB are illustrated throughout with many different examples coming from a wide choice of familiar scientific and engineering areas, along with from everyday routine.
Timothy A. Davis, MATLAB Primer, Eighth Edition
English 432 pages ISBN-10: 049529568X PDF 5.22 MB
English 4 aac, 22050 Hz, stereo h264, yuv420p, 1200x800, 15.00 fpsr 755.96 Mb
The second edition of Signals and Systems: Analysis Using Transform Methods and MATLAB is extensively updated while retaining the focus on fundamental applications and theory that may be the hallmark in this popular text. The text carries a wealth of exercises, including drill exercises, and much more challenging conceptual problems. The book is to cover a two-semester course sequence from the basics of signals and systems analysis throughout the junior or senior year.
English 3 Hours 4, AVC, 1000 kbps, 1348x720, 15.01 AAC, 64 kbps, 2 Ch 303 Mb