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Filter 22 vetted Mathematica reviews and ratings
Reviews (1-7 of 7)
December 05, 2019
Great program for symbolic calculus
Mathematica is a great tool for solving mathematical problems. Compared to other alternatives programs, such as Maple or MATLAB, Mathematica is more often used in my work group as the go-to tool for solving symbolic maths problems, such as integration and differentiation, and then simplifying expressions, which can be used to assist and verify handwritten calculations.
- Symbolic differentiation
- Symbolic integration
- Simplifying expressions
- Quick plots
- Not a fault as such, but there are instances of simple problems where Wolfram Alpha can be used more easily instead.
June 20, 2019
Mathematica Cloud - have you used it?
We use Mathematica for quantitative analysis of data, data visualization, pattern recognition and prediction.
- Analytic Calculus and Algebra
- Complex Equation Solving
- Data Analytics
- Reference for definitions and data standards
- Mathematica forum is often cold and unresponsive
- Mathematica online forum is not handled professionally by moderators - lacks warmth
- Mathematica official support is cold and curt
February 07, 2019
Amazing mathematical computation tool
Mathematica is basically used by few of us who are doing some kind of work around machine learning and mathematics. Most of the time we have used this tool to solve some mathematical calculas differentiation problem, apart from that I have also used its API of speech and machine learning. And not everyone was using this, it is restricted to specific departments only.
- Mathematica performs well when it comes to solve the mathematical problem specifically from calculus.
- You can ask mathematica in natural English language and it will understand and will give you answers.
- It has been good while performing analysis on data. It's easy to plot nice graphs/plot with this tool.
- Also, the way it solves the problem and represents the solution is just amazing. You can see step by step solutions.
- It is not easy to use this tool as it has it's own scripting language and learning that is not straight forward.
- On machine learning part of it, I think it should and can improve as there are other tool as well like TensorFlow, Keras which are doing very good.
- It's a very heavy tool to install on community system and will be good if we can integrate this other tool like TensorFlow, python.
November 09, 2018
Mathematica: great for Origami
I use Mathematica as my "Swiss army knife" of analysis, design, and modeling of origami-related structures and mechanisms. It allows me to model origami problems at varying levels of idealization, ranging from simple 2-D polygonal models, to 3-D shapes with thickness, stress/strain relationships, and analytic descriptions of curved folding.
- It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
- Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
- The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
- It is, unfortunately, quite slow compared to, say, C code implementation of numerical routines. (However, getting a routine up and running is still vastly faster in Mathematica, so the tradeoff is worth it.)
- New functionality is sometimes not implemented as fully as it could be: MeshRegions are still fairly limited.
- The underlying core doesn't work equally well across platforms: things that run fine on Mac crash on Windows.
Wolfram Mathematica is a desktop environment for building applications in the Wolfram Language. The Wolfram Language, in turn, is a functional programming utility for solving all sorts of complex problems in a wide variety of fields, from science to business and government.
Ours is a consultancy that uses tools like Mathematica to solve insanely hard problems for our clients, which are mostly large corporations with complex operations. Everyone at our small firm uses Mathematica in one way or another.
While Mathematica can quite literally do anything, the most common use case is as a means to build a mathematical model or representation of some complex system that one wishes to study using data. Along the way the model builder can use the vast array of internal functions (6500 or so at last count) to perform operations as diverse as image processing, statistics, and optimization. The real benefit of Mathematica is in its ability to allow model builders to generate such models very quickly with less code than other languages like Python or R.
Ours is a consultancy that uses tools like Mathematica to solve insanely hard problems for our clients, which are mostly large corporations with complex operations. Everyone at our small firm uses Mathematica in one way or another.
While Mathematica can quite literally do anything, the most common use case is as a means to build a mathematical model or representation of some complex system that one wishes to study using data. Along the way the model builder can use the vast array of internal functions (6500 or so at last count) to perform operations as diverse as image processing, statistics, and optimization. The real benefit of Mathematica is in its ability to allow model builders to generate such models very quickly with less code than other languages like Python or R.
- You can stay in one environment as you progress from idea to prototype to production code to deployment; this hastens the development cycle at every step along the way
- You can take advantage of the thousands (> 6000) functions that perform many math and logic transformations that are common to analysis today
- The notebook interface is a very natural way to program, and allows code to be interwoven with explanatory text.
- Mathematica is one of the most stable software platforms in the world, in existence for 30 years.
- Depending on the size of the application, the cost of licenses can be prohibitive in some cases, especially for Wolfram Private Cloud.
October 12, 2018
One of the best computation engines
Wolfram is used for analytics purpose and some time we use this for audio and image processing as well. And, I myself use this product for solving problems of mathematics which include calculus. This tool is very powerful for analysis and it generates very good looking plots. Solving mathematical problem using this is very interesting.
- Doing the analysis is very good, plotting the data, getting the insight from data using this is easy and output looks pretty good
- Solving mathematical problems, with detailed solutions step by step (mainly calculus problems)
- You can also query this knowledge engine in simple English. It has ability to interpret that and will give you answer accordingly
- Nowadays, it provides API to use, so you can do image processing, video/audio using this
- Needs lot of learning. Wolfram has a very vast language. It take lots of time to understand and learn it
- Input system is not good, that needs improvement.
- Sometimes, writing an equation is very difficult in this tool
August 17, 2018
Best computation knowledge engine with great power
I have used Mathematica for doing heavy computation and for data visualisations. Basically, I have used this tool when I was in my college. It is being used by one department of our college who are doing some kind of research. We have used this to do the heavy operation around matrix and visualising the data. We are using this solve a research problem.
- It is a very powerful tool for data visualisation and computation.
- Solving mathematics mainly calculus is very easy. Visualising the solution step by step is a great thing you can see in this tool.
- It's easy to do heavy computation like finding the inverse of a big matrix, doing matrix multiplications etc.
- One of the best features is that it can also understand natural language. So, you can write a query in simple English and it can interpret that and can find a solution for you.
- The first and the biggest con is that it takes a long time to learn this language. Writing a mathematical equation is not so easy in this tool. And its documentation is very big and sometimes I feel that the documentation is confusing.
- Pricing for this tool is too high. Not everyone can afford to buy this product and the free trial has lots of limitation.
- And I think the last con is that its interpreter is slow.
Mathematica Scorecard Summary
Feature Scorecard Summary
About Mathematica
Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.
Categories: Data Science, Data Discovery and Visualization
Mathematica Technical Details
| Operating Systems: | Unspecified |
|---|---|
| Mobile Application: | No |