I'm a MATLAB user, but I'm not sure if Mathematica could be better for some applications (symbolic, applications needing variables having a large number of decimals etc).
Mathematia is better for some application like symbolic. For data analysis matlab is the best option. Most research groups choose matlab for numerical solutions/simulations and mathematica for analytical solutions.
Mathematia is better for some application like symbolic. For data analysis matlab is the best option. Most research groups choose matlab for numerical solutions/simulations and mathematica for analytical solutions.
i am a matlab user, and i will say whatever u wanna do in mathematica u can do in matlab, but again yes, this is my opinion, if you do know how to use matlab.
and again i don't think symbolic could be a problem in matlab, since you can define any as u like, but again i said all of this based on my experiences in matlab, which is possible more or lower then you all in here. So i will say i do respect with your opinions.
So, pedro, in general i will say matlab will be better in many ways than mathematica
:)
This is a difficult question to get your hands around as there are strong advocates on both sides . It is like PCs and Mac- never the twain shall meet! Nonetheless there are several recent additions to Mathematica that I particularly like . First, the incorporation of data paclets that allow you to access data directly into Mathematica ( such as CityData, WeatherData, ChemicalData, GenomeData, etc) which is an offshoot from WolframAlpha. Another feature is the free Computable Document Format (CDF). This allows one to share an interactive Mathematica session with colleagues that do not have Mathematica- great for teaching, great for research, great for sharing results with management. The method for handling units is very slick in my view. Some thoughts....
,,i am a matlab user, and i will say whatever u wanna do in mathematica u can do in matlab" - This shows that you cannot even imagine complicated problems. * Mma is good at dealing numeical and symbolic problems together, and also at presenting the results for lectures, papers etc.
What is missing from statistics in Mma? Although I am defending Mma, I am really curious. I have some but not too much experience in the application of statistics, and for me it is more than enough what can be found here.
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