.NET 11 expands the numerics toolbox with IEEE 754 decimal floating-point types, `BFloat16`, generic complex numbers, and new generic random-number APIs. It also brings performance and correctness improvements to `System.Numerics.Tensors`.
We'll explore how the new types fit into generic math, choose the right precision and range, and see how layout-aware tensor operations improve performance while handling shapes, overlapping memory, and special values consistently. Along the way, we'll cover rounding and practical parsing and formatting improvements.
We'll finish with a brief "and more is coming" look at .NET 12 tensor work, clearly distinguishing what's in .NET 11 from what comes next.
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We'll explore how the new types fit into generic math, choose the right precision and range, and see how layout-aware tensor operations improve performance while handling shapes, overlapping memory, and special values consistently. Along the way, we'll cover rounding and practical parsing and formatting improvements.
We'll finish with a brief "and more is coming" look at .NET 12 tensor work, clearly distinguishing what's in .NET 11 from what comes next.
Connect with .NET:
Blog: https://aka.ms/dotnet/blog
Twitter: https://aka.ms/dotnet/twitter
TikTok: https://aka.ms/dotnet/tiktok
Mastodon: https://aka.ms/dotnet/mastodon
LinkedIn: https://aka.ms/dotnet/linkedin
Facebook: https://aka.ms/dotnet/facebook
Docs: https://learn.microsoft.com/dotnet
Forums: https://aka.ms/dotnet/forums
🙋♀️Q&A: https://aka.ms/dotnet-qa
👨🎓Microsoft Learn: https://aka.ms/learndotnet
#dotnet