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apps/Gram_Schmidt_QR_Decomposition.py

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# "numpy",
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# ]
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# ///
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import marimo
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__generated_with = "0.14.16"
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return
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@app.cell(hide_code=True)
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def _(mo):
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mo.md(
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r"""
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<wbr>
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## **And thanks for being here,**
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---
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"""
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)
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return
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@app.cell
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def _(mo, style_dict_3):
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mo.md(
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r"""
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#### **This was one of my dedicated project I worked upon, for showcasing the real life implementation of what I learnt.**
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#### **This notebook, is a part of bigger project, and you'll see other implementations of better algorithms that we deal today in every engineering field. And, how such orthogonalization techniques are combined with Bidiagonality & QR Decomposition and how these are used in real-life applications.**
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### **And, to be notified about those updates, you can 🌟 this repo.**
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"""
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).style(style_dict_3)
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return
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if __name__ == "__main__":
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app.run()

notebooks/Gram_Schmidt_QR_Decomposition.py

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# "numpy==2.3.2",
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# ]
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# ///
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import marimo
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__generated_with = "0.14.16"
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return
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@app.cell(hide_code=True)
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def _(mo):
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mo.md(
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r"""
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<wbr>
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## **And thanks for being here,**
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---
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"""
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)
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return
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@app.cell
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def _(mo, style_dict_3):
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mo.md(
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r"""
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#### **This was one of my dedicated project I worked upon, for showcasing the real life implementation of what I learnt.**
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#### **This notebook, is a part of bigger project, and you'll see other implementations of better algorithms that we deal today in every engineering field. And, how such orthogonalization techniques are combined with Bidiagonality & QR Decomposition and how these are used in real-life applications.**
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### **And, to be notified about those updates, you can 🌟 this repo.**
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"""
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).style(style_dict_3)
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return
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if __name__ == "__main__":
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app.run()

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