# \#extended-precision

**URL:** https://discourse.julialang.org/tag/extended-precision/853.md

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## [Linear Optimization with Quadratic Constraints: Efficient, arbitrary precision solver](https://discourse.julialang.org/t/linear-optimization-with-quadratic-constraints-efficient-arbitrary-precision-solver/82105)

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**Author:** [@DanDoe](https://discourse.julialang.org/u/DanDoe)\
**Replies:** 14\
**Last updated:** [June 6, 2022, 8:39am UTC](https://discourse.julialang.org/t/linear-optimization-with-quadratic-constraints-efficient-arbitrary-precision-solver/82105 "2022-06-06T08:39:17Z")

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I want to solve a linear optimization problem with quadratic constraints of the form \\max\_{\\boldsymbol x} y \\text{ such that } f\_i(y \\boldsymbol x) \\leq 0 \\: \\forall \\: i = 1, \\dots, C and the f\_i are quadratic in the…

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## [Truncated SVD of extended precision matrix](https://discourse.julialang.org/t/truncated-svd-of-extended-precision-matrix/78989)

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**Author:** [@Samuel3008](https://discourse.julialang.org/u/Samuel3008)\
**Replies:** 6\
**Last updated:** [April 30, 2022, 10:03am UTC](https://discourse.julialang.org/t/truncated-svd-of-extended-precision-matrix/78989 "2022-04-30T10:03:21Z")

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Hi, is anybody aware of a way to compute the truncated SVD of an extended precision (128 bit floats in my case) matrix? For the floats, I’d like to use either MultiFloats.jl (seems faster in my testing, so this would be…

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## [\[ANN\] ExtremeFloats.jl: Floats with extended range of exponents](https://discourse.julialang.org/t/ann-extremefloats-jl-floats-with-extended-range-of-exponents/78164)

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**Author:** [@a5sk6n](https://discourse.julialang.org/u/a5sk6n)\
**Replies:** 1\
**Last updated:** [March 20, 2022, 4:20pm UTC](https://discourse.julialang.org/t/ann-extremefloats-jl-floats-with-extended-range-of-exponents/78164 "2022-03-20T16:20:37Z")

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ExtremeFloats.jl is a new package that allows you to perform floating point operations with a very large range of exponents. Float64 offers 11 bits for the exponent, ExtremeFloat gives you 64 bits. This is especially use…

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## [MPLAPACK (multiprecision blas+lapack)](https://discourse.julialang.org/t/mplapack-multiprecision-blas-lapack/70514)

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**Author:** [@JeffreySarnoff](https://discourse.julialang.org/u/JeffreySarnoff)\
**Replies:** 8\
**Last updated:** [October 28, 2021, 8:32pm UTC](https://discourse.julialang.org/t/mplapack-multiprecision-blas-lapack/70514 "2021-10-28T20:32:20Z")

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MPLAPACK works with any of these multiprecision libs: GMP, MPFR+MPC, libquadmath, and David Bailey’s DD/QD library. Here is the user guide and the repository, All BLAS routines are available using multiple precision ar…