Discussion Overview
The discussion centers on the comparative capabilities of Mathematica and other mathematical software packages, particularly in solving integrals. Participants share their experiences and opinions regarding the effectiveness of Mathematica relative to alternatives like Maple, as well as other systems such as Matlab, Python libraries, and SageMath.
Discussion Character
Main Points Raised
- One participant questions whether Mathematica is less capable of solving integrals than Maple, suggesting a potential switch to Maple if it is indeed inferior.
- Another participant argues that when Mathematica cannot solve an integral, it typically indicates that no closed form solution exists.
- A participant expresses concern that Mathematica fails to solve many integrals, implying that some should be solvable, but acknowledges that this may not be Mathematica's fault if the integrals are inherently unsolvable.
- One contributor states that Mathematica excels at computing difficult integrals numerically, especially those with infinite boundaries or diverging integrands.
- A participant compares their experiences with Mathematica and Maple, noting that Mathematica had a significant edge in the past, though they are unsure if that has changed over time.
- An independent benchmark is referenced, indicating Mathematica's failure rate on integrals is lower than that of Maple, Maxima, and Sympy.
- A participant shares their familiarity with both Mathematica and Maple, stating that while they prefer Maple for certain tasks, they believe Mathematica is superior in solving integrals and ordinary differential equations (ODEs).
Areas of Agreement / Disagreement
Participants express differing views on the capabilities of Mathematica compared to Maple and other software. Some believe Mathematica is more complete and effective, while others question its ability to solve certain integrals, leading to an unresolved debate on the relative strengths of these tools.
Contextual Notes
Some participants' claims are based on personal experiences that may vary over time and context, and there is mention of a benchmark that could influence perceptions of performance. The discussion reflects a range of experiences with different software packages, highlighting the subjective nature of software effectiveness in mathematical tasks.