Question 1

How do I install stdlib for a browser-based project using Webpack?

Accepted Answer

Install individual packages via npm (e.g., `npm install @stdlib/math-base-special-sin`) and import them in your code; the README confirms compatibility with bundlers like Webpack, and you can use ES Module builds from dedicated branches for direct browser use.

Question 2

What's the difference between stdlib and Math.js?

Accepted Answer

stdlib is more comprehensive and modular, with a focus on scientific computing, native performance optimizations, and TypeScript support, while Math.js is simpler, offering expression parsing and basic math operations with an easier learning curve. stdlib is better for advanced numerical work, but Math.js may suffice for straightforward calculations.

Question 3

Can I use stdlib in Deno or Observable notebooks?

Accepted Answer

Yes, stdlib provides pre-built Deno imports from dedicated branches and UMD bundles for CDN usage in Observable, as mentioned in the README's environment builds section, making it versatile across different JavaScript runtimes.

Question 4

Does stdlib include machine learning algorithms?

Accepted Answer

No, stdlib focuses on foundational numerical and statistical functions, such as probability distributions and linear algebra via BLAS, but doesn't provide high-level ML algorithms; you'd need to combine it with other libraries for tasks like neural networks.

Question 5

How to generate reproducible random numbers with stdlib?

Accepted Answer

Use one of the 40+ seedable pseudorandom number generators (PRNGs) like `@stdlib/random/base/mt19937`, which allow setting seeds for deterministic output, as highlighted in the features list for reliable simulations.

Question 6

Is stdlib suitable for real-time applications in the browser?

Accepted Answer

It can be, but performance depends on the use case; native add-ons aren't available in browsers, so JavaScript fallbacks are used, which might be slower for intensive computations compared to server-side Node.js with BLAS integration.

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