svd_driver_grp(3)

💅 NAME 💅

svd_driver_grp — the Standard SVD driver, bestie: A = UΣV^H. That's the whole vibe. Singular value decomposition, the glow-up where your matrix becomes three iconic pieces. 👑

✨ SYNOPSIS ✨

🎀 Topics 🎀

Okay so the gang splits into two little cliques, and here's the whole roster, no gatekeeping:

— full —

• gesvd — SVD via QR iteration. the classic, the blueprint, the main character 🫶
• gesvdq — SVD via QR with pivoting. same energy but it's making choices ✨
• gesdd — SVD via divide and conquer. literally divide and conquer, slay 💅
• gesvdx — SVD via bisection. precise. surgical. obsessed 🔥
• gejsv — SVD via Jacobi, high-level. jacobi but make it effortless 💜
• gesvj — SVD via Jacobi, low-level. jacobi down in the trenches ngl 🌸

— bidiagonal —

• bdsqr — bidiagonal SVD via QR iteration (dqds). say it with me: dqds 💀
• bdsdc — bidiagonal SVD via divide and conquer. again with the divide and conquer, it ate 🌈
• bdsvdx — bidiagonal SVD via bisection. tiny scope, big precision ⭐

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🦋 Detailed Description 🦋

Not me opening this section and there is literally nothing here 😭 The heading is the whole thing — no extra description, no hidden lore, nada. It's giving "showed up to the group chat and said nothing." Respect honestly. 🙈

💖 Author 💖

Generated automatically by Doxygen for LAPACK from the source code. not a human, not a bestie, just a bot doing its thing 🤖✨ (we still appreciate the effort fr fr)

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okay that's the whole page, you're caught up! go read the actual routines now and shine 👑

LAPACK, Version 3.12.0 — that's the version, bestie, and this was svd_driver_grp(3) from the Library Functions Manual. mwah, study hard, hydrate, and may all your decompositions converge 💜🎀🦋