# Julia is slower than MATLAB at diagonalizing matrices

**URL:** <https://discourse.julialang.org/t/julia-is-slower-than-matlab-at-diagonalizing-matrices/78174>\
**Category:** New to Julia\
**Tags:** question, matlab, linearalgebra, matrices, eigenvalues\
**Created:** [March 20, 2022, 7:45pm UTC](https://discourse.julialang.org/t/julia-is-slower-than-matlab-at-diagonalizing-matrices/78174 "2022-03-20T19:45:57Z")\
**Posts on this page:** 2\
**Page:** 3

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**Author:** ![ronubi](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ronubi/32/4085_2.png) [@ronubi](https://discourse.julialang.org/u/ronubi)\
**Post date:** [March 30, 2022, 3:59pm UTC](https://discourse.julialang.org/t/julia-is-slower-than-matlab-at-diagonalizing-matrices/78174/41 "2022-03-30T15:59:40Z")

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I didn’t see anyone suggest using `StaticArrays.jl` for the initial array allocations. This [package](https://github.com/JuliaArrays/StaticArrays.jl) claims some impressive speedups, including 25x for “Matrix symmetric eigendecomposition.”

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**Author:** ![jling](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jling/32/212909_2.png) [@jling](https://discourse.julialang.org/u/jling)\
**Post date:** [March 30, 2022, 4:04pm UTC](https://discourse.julialang.org/t/julia-is-slower-than-matlab-at-diagonalizing-matrices/78174/42 "2022-03-30T16:04:05Z")

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not applicable to big matrix

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