svd_top(3)

💅 svd_top — the manual page for the manual page (it's a topic hub, bestie)

Okay so before we even start: this is one of those Library Functions Manual pages, and it's the landing page for everything Singular Value Decomposition in LAPACK. It's not a function, it's a vibe. It's the group chat where all the SVD routines hang out. 🎀

✨ NAME ✨

svd_top — Singular Value Decomposition (SVD)

Like, that's it. That's the whole name section. Short king. 👑

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🌸 SYNOPSIS 🌸

💫 Topics 💫

Here's the whole squad — every topic this page points you at, no cap:

• Standard SVD driver, A = UΣV^H — the main-character driver for the classic decomposition, A = UΣV^H, preserved exactly as written, don't come for me 🫶
• Generalized SVD driver — the driver for the generalized version, for when regular SVD just isn't the moment
• SVD computational routines — the actual number-crunching routines behind the standard SVD
• Generalized SVD computational routines — same energy, but for the generalized SVD
• bidiag QR iteration routines — the bidiagonalization + QR iteration routines, lowkey the engine room
• bidiag D&C routines — the bidiagonalization + divide-and-conquer routines, the other engine room

That's six topics, all of them, counted twice to be sure. Slay. ✨

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🦋 Detailed Description 🦋

Literally empty. The original page gives us nothing here — no description, no parameters, no return values. It's giving mysterious. It's giving "the real documentation is in the linked topics". So go click through the topics above, bestie, that's where the actual tea is. 🍵

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🌈 Author 🌈

Generated automatically by Doxygen for LAPACK from the source code.

Not me being auto-generated by Doxygen for LAPACK from the source code 😭 no human wrote this, the machine did, and honestly? It ate. 💅

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👑 Sign-off 👑

So this little page came to you courtesy of LAPACK, version 3.12.0, and it was a Library Functions Manual page from the very first line. Take care of her, she's iconic. 🎀💖✨