[B! Julia] Nyohoã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

Nyoho id:Nyoho

Juliaã«é–¢ã™ã‚‹Nyohoã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (119)

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Presentation
class: middle, center # ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«è¬›æ¼” ## Julia å…¥é–€ (äºˆç¿’è³‡æ–™) `Satoshi Terasaki @ AtelierArith` --- # ã“ã®è³‡æ–™ã«ã¤ã„ã¦ * ã“ã®è³‡æ–™ã¯ä½•ï¼Ÿ * [æ•°å¦ã¨ç‰©ç†ã«ãŠã‘ã‚‹Juliaã®æ´»ç”¨](https://akio-tomiya.github.io/julia_imi_workshop2023/) ã§ã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«è¬›æ¼”è³‡æ–™ã§ã™ï¼Ž * [piever/Remark.jl](https://github.com/piever/Remark.jl) ã‚’ä½¿ã£ã¦ Markdown åŽŸç¨¿ã‚’ã‚¹ãƒ©ã‚¤ãƒ‰ã¨ã—ã¦è¡¨ç¤ºã•ã›ã¦ã„ã¾ã™. ``` æ›´æ–°æ—¥: 2023-07-10T03:59:38.289 ``` ãŠå‹‰å¼·ä¼šè³‡æ–™ã¯ã“ã¡ã‚‰ `TODO å¾Œã§è¿½è¨˜` --- class: middle, center # Julia ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«
Nyoho 2024/12/05
Juliaå…¥é–€

Julia
ãƒªãƒ³ã‚¯
Juliaã§ã®ç‰å·ã¨ä¸ç‰å·ã„ã‚ã„ã‚
TL;DR isequalã¯==ã¨ã‚‚===ã¨ã‚‚é•ã†ã®ã§æ³¨æ„ islessã¯<ã¨ã‚‚â‰¤ã¨ã‚‚é•ã†ã®ã§æ³¨æ„ ä¸€æ–¹ã§isapproxã¯â‰ˆã¨åŒã˜ã ã£ãŸã‚Šã™ã‚‹ ç‰å·è©•ä¾¡ å®Ÿè¡Œä¾‹ Juliaã«ã¯ç‰å·è©•ä¾¡ã®æ¼”ç®—ã¨ã—ã¦ä»¥ä¸‹ã®3ã¤ã®é–¢æ•°ãŒç”¨æ„ã•ã‚Œã¦ã„ã¾ã™ã€‚ == === isequal ã“ã‚Œã‚‰ã®å·®ç•°ã¯ä»¥ä¸‹ã®ã‚³ãƒ¼ãƒ‰ã‚’å®Ÿè¡Œã—ã¦ç¢ºèªã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ julia> operators = [==, isequal, ===] 3-element Vector{Function}: == (generic function with 178 methods) isequal (generic function with 26 methods) === (built-in function) julia> pairs = [(Inf, Inf), (Inf, Inf32), (+0.0,-0.0), (NaN, NaN
Nyoho 2023/09/10
Julia
ãƒªãƒ³ã‚¯
æ•°å¦ã¨ç‰©ç†ã«ãŠã‘ã‚‹Juliaã®æ´»ç”¨ï½œ2023a015 | ç”£æ¥æ•°å¦ã®å…ˆé€²çš„ãƒ»åŸºç¤Žçš„å…±åŒç ”ç©¶æ‹ ç‚¹ã€€ä¹å·žå¤§å¦IMI
é–‹å‚¬æ–¹æ³•ï¼šä¹å·žå¤§å¦ ä¼Šéƒ½ã‚ãƒ£ãƒ³ãƒ‘ã‚¹ã¨ZoomãƒŸãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã«ã‚ˆã‚‹ãƒã‚¤ãƒ–ãƒªãƒƒãƒ‰é–‹å‚¬ é–‹å‚¬å ´æ‰€ï¼šä¹å·žå¤§å¦ ä¼Šéƒ½ã‚ãƒ£ãƒ³ãƒ‘ã‚¹ ã‚¦ã‚¨ã‚¹ãƒˆ1å·é¤¨ Dæ£Ÿ 4éšŽ IMIã‚ªãƒ¼ãƒ‡ã‚£ãƒˆãƒªã‚¢ãƒ ï¼ˆW1-D-413ï¼‰ ä¸»è¦è¨€èªžï¼šæ—¥æœ¬èªž å…±å‚¬ï¼šä¹å·žå¤§å¦ãƒžã‚¹ãƒ»ãƒ•ã‚©ã‚¢ãƒ»ã‚¤ãƒ³ãƒ€ã‚¹ãƒˆãƒªç ”ç©¶æ‰€ï¼Œå¦è¡“å¤‰é©é ˜åŸŸç ”ç©¶Aã€Œã€Œå¦ç¿’ç‰©ç†å¦ã€ã®å‰µæˆï¼æ©Ÿæ¢°å¦ç¿’ã¨ç‰©ç†å¦ã®èžåˆæ–°é ˜åŸŸã«ã‚ˆã‚‹åŸºç¤Žç‰©ç†å¦ã®å¤‰é©ã€ ç¨®åˆ¥ãƒ»ç¨®ç›®ï¼šä¸€èˆ¬ç ”ç©¶-ç ”ç©¶é›†ä¼šï¼ˆâ…¡ï¼‰ ç ”ç©¶è¨ˆç”»é¡Œç›®ï¼šæ•°å¦ã¨ç‰©ç†ã«ãŠã‘ã‚‹Juliaã®æ´»ç”¨ ç ”ç©¶ä»£è¡¨è€…ï¼šå¯Œè°· æ˜å¤«ï¼ˆå¤§é˜ªå›½éš›å·¥ç§‘å°‚é–€è·å¤§å¦æƒ…å ±å·¥å¦ç§‘ãƒ»åŠ©æ•™ï¼‰ ç ”ç©¶å®Ÿæ–½æœŸé–“ï¼š2023å¹´7æœˆ10æ—¥ï¼ˆæœˆï¼‰ã€œ2023å¹´7æœˆ12æ—¥ï¼ˆæ°´ï¼‰ å…¬é–‹æœŸé–“ï¼š2023å¹´7æœˆ10æ—¥ï¼ˆæœˆï¼‰ã€œ2023å¹´7æœˆ12æ—¥ï¼ˆæ°´ï¼‰ ç ”ç©¶è¨ˆç”»è©³ç´°ï¼šhttps://joint1.imi.kyushu-u.ac.jp/research_chooses/view/2023a015
Nyoho 2023/07/31
Julia

math

physics
ãƒªãƒ³ã‚¯
GitHub - AtelierArith/GomalizingFlow.jl: A Julia package for Flow-based sampling algorithm
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Nyoho 2022/10/29
flow-based sampling, QCD

Julia
ãƒªãƒ³ã‚¯
Optimisers.jl å…¥é–€
Nyoho 2022/10/16
æ©Ÿæ¢°å¦ç¿’

Julia
ãƒªãƒ³ã‚¯
Juliaã§ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚’ä½¿ã£ã¦ã‚¿ã‚¤ã‚¿ãƒ‹ãƒƒã‚¯ç”Ÿå˜è€…äºˆæ¸¬ã‚’ã™ã‚‹
ãƒ‡ãƒ¼ã‚¿ã«ã¯ã„ãã¤ã‹æ¬ æå€¤ãŒã‚ã‚‹ã®ã§ã€ãã‚Œã‚’ã©ã†ã™ã‚‹ã‹ã€æ±ºã‚ã¾ã™ã€‚ æ¬ æå€¤ã®æ‰±ã„ã¯ã€æ¬ æå€¤ã®è¡Œã‚’æ¶ˆã™ã¨ã‹ã€ä½•ã‹ä»£æ›¿ã®æƒ…å ±ã§è£œå®Œã™ã‚‹ã¨ã‹ã€ã„ãã¤ã‹æ–¹æ³•ãŒã‚ã‚Šã¾ã™ã€‚ ä»Šå›žã®ãƒ‡ãƒ¼ã‚¿ã ã¨ã€Ageï¼ˆå¹´é½¢ï¼‰ã«177ä»¶ã®æ¬ æå€¤ãŒã‚ã‚Šã¾ã™ã€‚ ã¡ãªã¿ã«äºˆæ¸¬ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã«ã¯Ageï¼ˆå¹´é½¢ï¼‰ã¨Fareï¼ˆæ–™é‡‘ï¼‰ã«æ¬ æå€¤ãŒã‚ã‚Šã¾ã™ã€‚ ä»Šå›žã¯ã€ã„ãã¤ã‹ã®äº‹ä¾‹ã‚’å‚è€ƒã«å¹´é½¢ä¸å¤®å€¤ã§åŸ‹ã‚ã¾ã—ãŸã€‚ ã“ã“ã¾ã§ã®ã‚„ã‚Šæ–¹ã¯ä»¥ä¸‹ã®é€šã‚Š #ãƒ‡ãƒ¼ã‚¿ã®èªã¿è¾¼ã¿ train_raw = CSV.read("train.csv",DataFrame); test_raw = CSV.read("test.csv",DataFrame); #ãƒ‡ãƒ¼ã‚¿ã®é¸æŠž train =select(train_raw,:Survived,:Pclass,:Sex,:Age,:Fare); #æ¬ æå€¤ã®è£œå®Œ #å¹´é½¢ã‚’ä¸å¤®å€¤ã§è£œå®Œ recode!(train[!,:Age
Nyoho 2022/08/23
Julia
ãƒªãƒ³ã‚¯
Juliaã§ã‚¸ãƒƒãƒ—ã®æ³•å‰‡ã‚’ç¢ºèª(2) ãƒ‹ãƒ¥ãƒ¼ã‚¹è¨˜äº‹ã®å ´åˆ
ã¯ã˜ã‚ã« ä»¥å‰ã®è¨˜äº‹ã§ã€å°èª¬ãƒ‡ãƒ¼ã‚¿ã‚’ä½¿ã£ã¦ã‚¸ãƒƒãƒ—ã®æ³•å‰‡ã‚’ç¢ºèªã—ã¾ã—ãŸã€‚ã—ã‹ã—ã€ã‚¸ãƒƒãƒ—ã®æ³•å‰‡ã¨ã¯ã‹ãªã‚Šä¹–é›¢ã—ã¦ã„ã‚‹ã“ã¨ãŒã‚ã‹ã‚Šã¾ã—ãŸã€‚ ãã‚ŒãŒã€å°èª¬ã‚’é¡Œæã«ã—ãŸã“ã¨ã«ã‚ˆã‚‹ã‚‚ã®ãªã®ã‹ã©ã†ã‹ã‚’ç¢ºèªã™ã‚‹ãŸã‚ã«ã€ä»–ã®ãƒ‡ãƒ¼ã‚¿ã‚’ä½¿ã†ã¹ãã€å‰å›žã®è¨˜äº‹ã«ãŠã„ã¦ã€Yahooï¼ãƒ‹ãƒ¥ãƒ¼ã‚¹ã®è¨˜äº‹ã‚’ã‚¹ã‚¯ãƒ¬ã‚¤ãƒ”ãƒ³ã‚°ã™ã‚‹æ–¹æ³•ã‚’ç´¹ä»‹ã—ã¾ã—ãŸã€‚ ä»Šå›žã¯ã€ãã®ãƒ‹ãƒ¥ãƒ¼ã‚¹è¨˜äº‹ã‚’ç”¨ã„ã¦ã€ã‚¸ãƒƒãƒ—ã®æ³•å‰‡ï¼ˆZipfâ€™s lawï¼‰ã‚’ç¢ºèªã—ã¾ã™ã€‚ ãƒ‹ãƒ¥ãƒ¼ã‚¹è¨˜äº‹ ä»Šå›žå¯¾è±¡ã¨ã™ã‚‹ã®ã¯ã€Yahooï¼ãƒ‹ãƒ¥ãƒ¼ã‚¹ã®ãƒ‹ãƒ¥ãƒ¼ã‚¹è¨˜äº‹ã§ã™ã€‚ å‰å›žã€Yahooï¼ãƒ‹ãƒ¥ãƒ¼ã‚¹ã‚’ã‚¹ã‚¯ãƒ¬ã‚¤ãƒ”ãƒ³ã‚°ã™ã‚‹æ–¹æ³•ã‚’ç´¹ä»‹ã—ã¾ã—ãŸã€‚ç´¹ä»‹ã—ãŸæ–¹æ³•ã§ã¯ã€ãã®æ™‚ç‚¹ã§æŽ²è¼‰ã•ã‚ŒãŸè¨˜äº‹ã‚’ã‚¹ã‚¯ãƒ¬ã‚¤ãƒ”ãƒ³ã‚°ã™ã‚‹ã ã‘ã§ã™ã€‚ãã‚Œã‚’è¤‡æ•°æ—¥ç¹°ã‚Šè¿”ã—ã¦ã€å¾—ã‚‰ã‚ŒãŸJSONãƒ‡ãƒ¼ã‚¿ã‚’ãƒžãƒ¼ã‚¸ã—ã¦ã€ä¸€ã¤ã®ãƒ‡ãƒ¼ã‚¿ã¨ã—ã¦æ‰±ã„ã¾ã™ã€‚ ä¾‹ãˆã°ã€æ¬¡ã®ã‚ˆã†ãªã‚³ãƒ¼ãƒ‰ã§ãƒžãƒ¼ã‚¸ã™ã‚‹ã¨ã‚ˆã„ã§ã—ã‚‡ã†ã€‚ã‚«ãƒ¬ãƒ³ãƒˆãƒ•ã‚©ãƒ«ãƒ€ã«ã‚ã‚‹æ‹¡å¼µåã€Œtxtã€ã®jso
Nyoho 2022/07/05
Julia
ãƒªãƒ³ã‚¯
Julia vs Numba and Cython: Looking Beyond Microbenchmarks
We compare the performance of Julia and Numba, for a minimal benchmark that enables to see some fundamental difference between Julia and accelerated-Python. Python is a programming language with so many advantages that we donâ€™t even need to list them. It is also commonly acknowledged that its main drawback is code performance. Given this probl em, many ways of speeding-up Python have been proposed
Nyoho 2022/06/27
Julia

Python

performance
ãƒªãƒ³ã‚¯
ã‚¨ãƒ•ã‚§ã‚¯ãƒˆè§£æžã«ã‚ˆã‚‹å‹•çš„è¨€èªžæœ€é©åŒ– Part.1 - Advanced Technology Lab
ã“ã‚“ã«ã¡ã¯ã€‚ATLå®¢å“¡ç ”ç©¶å“¡ã®é–€è„‡ã§ã™ã€‚æ™®æ®µã¯ Julia Computing ã¨ã„ã†ãƒœã‚¹ãƒˆãƒ³ã«ã‚ã‚‹ä¼šç¤¾ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã¨ã—ã¦ ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžJulia ã®ã‚³ãƒ³ãƒ‘ã‚¤ãƒ©ã®é–‹ç™ºã«æºã‚ã£ã¦ã„ã¾ã™ã€‚ ä»Šå›žã®ãƒ–ãƒã‚°è¨˜äº‹ã§ã¯ã€æ¬¡ã®Juliaã®æœ€æ–°ç‰ˆã§ã‚ã‚‹v1.8ã‹ã‚‰è¿½åŠ ã•ã‚Œã‚‹æ–°ã—ã„ã‚³ãƒ³ãƒ‘ã‚¤ãƒ©æ©Ÿèƒ½ ã‚¨ãƒ•ã‚§ã‚¯ãƒˆè§£æž ã«ã¤ã„ã¦ã”ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ã‚¨ãƒ•ã‚§ã‚¯ãƒˆè§£æžã¨ã¯ã€ãƒ¡ãƒ¢ãƒªã¸ã®æ›¸ãè¾¼ã¿ãªã©ãƒ—ãƒã‚°ãƒ©ãƒ ãŒæŒã¤ ã‚¨ãƒ•ã‚§ã‚¯ãƒˆ(computational effects) ã‚’è§£æžã™ã‚‹æŠ€è¡“ã®ã“ã¨ã§ã€ ä¸€èˆ¬çš„ã«ã¯ã‚¨ãƒ•ã‚§ã‚¯ãƒˆã‚’è§£æžã™ã‚‹ã“ã¨ã§ãƒªã‚½ãƒ¼ã‚¹ã®å®‰å…¨ãªç®¡ç†ãªã©ã‚’è¡Œã†ãŸã‚ã®ç™ºå±•çš„ãªã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã‚¿ã‚¤ãƒ ãƒã‚§ãƒƒã‚¯ã‚’è¡Œã„ã¾ã™ã€‚ ãã†ã—ãŸã‚¨ãƒ•ã‚§ã‚¯ãƒˆã‚·ã‚¹ãƒ†ãƒ ãŠã‚ˆã³é™çš„è§£æžã¯ã„ãã¤ã‹ã®é™çš„åž‹ä»˜ã‘ã®è¨€èªžã§ã¯æ—¢ã«å®Ÿç”¨åŒ–ã•ã‚Œã¦ã„ã¦ã€ ä¾‹ãˆã° Haskell ã§ã¯ã‚¨ãƒ•ã‚§ã‚¯ãƒˆã‚·ã‚¹ãƒ†ãƒ ãŒãƒ©ã‚¤ãƒ–ãƒ©ãƒªãƒ¬ãƒ™ãƒ«ã§å®Ÿè£…ã•ã‚Œã¦ã„ãŸã‚Šã€ Koka
Nyoho 2022/06/27
Julia
ãƒªãƒ³ã‚¯
Ruby ã‚’ Julia ã«å¤‰æ›ã—ã¦å®Ÿè¡Œã™ã‚‹ã¨é€Ÿããªã‚‹ (å ´åˆãŒã‚ã‚‹) - Speee DEVELOPER BLOG
é–‹ç™ºéƒ¨ R&D ãƒ¦ãƒ‹ãƒƒãƒˆã®æ‘ç”°ã§ã™ã€‚OSSã®é–‹ç™ºã‚’ã—ã¦ãŠã‚Šã¾ã™ã€‚æœ¬è¨˜äº‹ã§ã¯ã€Ruby ã§æ›¸ã‹ã‚ŒãŸãƒžãƒ³ãƒ‡ãƒ«ãƒ–ãƒé›†åˆã‚’è¨ˆç®—ã™ã‚‹ãƒ¡ã‚½ãƒƒãƒ‰ã‚’å®Ÿè¡Œæ™‚ã« Julia ã«å¤‰æ›ã—ã¦å®Ÿè¡Œã™ã‚‹ã¨ã‚ã£ã¡ã‚ƒé€Ÿããªã‚‹ (å ´åˆãŒã‚ã‚‹)ã€ã¨ã„ã†è©±ã‚’ã—ã¾ã™ã€‚ ã¯ã˜ã‚ã« Ruby 3.1 ã§ã¯ YJIT ãŒãƒžãƒ¼ã‚¸ã•ã‚Œã€Rails ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãŒé€Ÿããªã‚Šã¾ã—ãŸã€‚ä»Šå¾Œã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚¢ãƒƒãƒ—ãŒã¨ã¦ã‚‚æ¥½ã—ã¿ã§ã™ãã€‚ãŸã ã—ã€Ruby ã®ãƒ‡ãƒ¼ã‚¿å‡¦ç†å¯¾å¿œã‚’é€²ã‚ã¦ã„ã‚‹èº«ã¨ã—ã¦ã¯ã€ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚„æ•°å€¤è¨ˆç®—ãŒã‚ˆã‚Šé«˜é€Ÿã«ãªã£ã¦æ¬²ã—ã„ã¨æ€ã£ã¦ã„ã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚„æ•°å€¤è¨ˆç®—ã‚’é«˜é€ŸåŒ–ã™ã‚‹è©¦ã¿ã¨ã—ã¦ã€Python ã§ã¯ NUMBA ã¨ã„ã†ãƒ©ã‚¤ãƒ–ãƒ©ãƒªãŒé–‹ç™ºã•ã‚Œã¦ã„ã¾ã™ã€‚NUMBA ã¯ã€ãƒ¡ã‚½ãƒƒãƒ‰å˜ä½ã§ãƒã‚¤ãƒˆã‚³ãƒ¼ãƒ‰ã‚’ LLVM ã‚’ç”¨ã„ã¦ãƒã‚¤ãƒ†ã‚£ãƒ–ã‚³ãƒ¼ãƒ‰ã«ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã™ã‚‹ã“ã¨ã§ãƒ¡ã‚½ãƒƒãƒ‰å®Ÿè¡Œã‚’é«˜é€ŸåŒ–ã—ã¾ã™ã€‚ãŸã ãƒ¡ã‚½ãƒƒãƒ‰ã‚’ãƒã‚¤ãƒ†ã‚£ãƒ–ã‚³ãƒ¼ãƒ‰ã«å¤‰æ›ã™ã‚‹ã®ã§ã¯ãªãã€å®Ÿè¡Œæ™‚ã«ãƒ¡
Nyoho 2022/05/19
ruby

Julia
ãƒªãƒ³ã‚¯
nonrigorous_numerics
Juliaã§é–“é•ãˆã‚‹æ•°å€¤è¨ˆç®—Â¶ã“ã®æ–‡ç« ã¯ç‘æ³¢å¤§å¦å¤§å¦é™¢ã‚·ã‚¹ãƒ†ãƒ æƒ…å ±å·¥å¦ç ”ç©¶ç§‘ãƒªã‚¹ã‚¯å·¥å¦å°‚æ”»ã®ç´€è¦ã€Œãƒªã‚¹ã‚¯å·¥å¦ç ”ç©¶ã€Vol. 16, pp.27-30ã«æŽ²è¼‰ã•ã‚ŒãŸå†…å®¹ã‚’Juliaã‚’ç”¨ã„ãŸè¨ˆç®—ä¾‹ã‚’åŠ ãˆã¦åŠ ç†ä¿®æ£ã—ãŸã‚‚ã®ã§ã™ã€‚ ã¯ã˜ã‚ã«Â¶ã€Œæ•°å€¤è¨ˆç®—ãƒ»æ•°å€¤è§£æžã€ã¨ã„ã†è¨€è‘‰ã€æ—¥é ƒã‚ˆãè€³ã«ã™ã‚‹ã¨æ€ã„ã¾ã™ãŒã€ã€Œæ•°å€¤è¨ˆç®—ãƒ»æ•°å€¤è§£æžã€ã¨ã¯ä½•ã§ã—ã‚‡ã†ã‹ã€‚æœ¬ç¨¿ã¯ã€ã¾ãšã“ã®äºŒã¤ã®è¨€è‘‰ã‚’æ˜Žç¢ºã«åŒºåˆ¥ã™ã‚‹äº‹ã‹ã‚‰å§‹ã‚ã¾ã™ã€‚ä»Šæ—¥ã€ç†è€…ãŒçŸ¥ã‚‹é™ã‚Šã€ã€Œæ•°å€¤è§£æžã€ã¯åŒã˜è¨€è‘‰ã§äºŒã¤ã®ä½¿ã„æ–¹ã‚’ã•ã‚Œã¾ã™ã€‚ä¸€ã¤ã¯ã€ã€Œæ•°å€¤è§£æžã€ã¨ã¯æ•°å€¤ã‚’ç”¨ã„ã¦ä»£æ•°çš„æ“ä½œã«ã‚ˆã£ã¦è§£ãã“ã¨ãŒã§ããªã„æ•°å¦ã®å•é¡Œã‚’è§£æ±ºã™ã‚‹æ‰‹æ³•ã¨ã™ã‚‹ä½¿ã„æ–¹ã€æ•°å€¤è¨ˆç®—ãƒ»æ•°å€¤å®Ÿé¨“ãƒ»æ•°å€¤ã‚·ãƒŸãƒ¥ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ãªã©ã¨åŒç¾©ã®ã‚ˆã†ã«ä½¿ç”¨ã•ã‚Œã¾ã™ã€‚ã‚‚ã†ä¸€ã¤ã¯ã€ã€Œæ•°å€¤è§£æžã€ã¨ã¯å¿œç”¨æ•°å¦ã®ä¸€åˆ†é‡Žã§ã€ä¸Šè¨˜ã®æ•°å¦å•é¡Œã‚’ã€æ•°å€¤ã‚’ç”¨ã„ã¦è¿‘ä¼¼çš„ã«è§£ãæ‰‹æ³•ã«é–¢ã™ã‚‹æ•°å¦çš„ãªæ¦‚å¿µã‚’ç ”ç©¶ã™ã‚‹åˆ†é‡Žã¨ã™ã‚‹ä½¿ã„æ–¹ã€‚ç†è€…ã¯å¾Œè€…ã®
Nyoho 2022/01/30
math

Julia
ãƒªãƒ³ã‚¯
NA basic (Numerical Analysis Basic) (2019)
æ™‚é™ã€æ•™å®¤ ç«æ›œæ—¥ 2é™ã€ã‚µã‚¤ãƒãƒ¼ãƒ¡ãƒ‡ã‚£ã‚¢ã‚»ãƒ³ã‚¿ãƒ¼è±Šä¸æ•™è‚²ç ”ç©¶æ£Ÿ ç¬¬5æ•™å®¤ æŽˆæ¥ã§ä½¿ã† JuliaBox ã®ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã«ã¤ã„ã¦ å—è¬›å¦ç”ŸãŒæŽˆæ¥æœŸé–“ä¸ä½¿ãˆã‚‹ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã‚’ç”¨æ„ã—ã¦ã‚ã‚Šã¾ã™ï¼Ž æŽˆæ¥æ™‚ã«é…å¸ƒã—ã¦ã„ã‚‹ã®ã§ï¼Œå‡ºå¸ã—ãŸã¨ãã«å—ã‘å–ã£ã¦ãã ã•ã„ï¼Ž å‚è€ƒ web, linkå…ˆç‰ The Julia Language ç§‘å¦æŠ€è¡“è¨ˆç®—å°‚ç”¨è¨€èªž â€œJuliaâ€ ã®æœ¬å®¶ web. ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ã‚„ã€Pkg ã®æƒ…å ±ã«ã¤ã„ã¦ã¯ã“ã“ã‚’ã¾ãšé ¼ã‚‹ã“ã¨ã«ãªã‚‹ã ã‚ã†ï¼Ž julia ã«ã¤ã„ã¦ æœ¬æ•™å®˜ãŒå°‘ã—ãšã¤è¨˜è¿°ã‚’è¿½åŠ ã—ã¦ã„ã‚‹ã€julia ã®è§£èª¬ web. ã¨ã‚Šã‚ãˆãšã€Œè¶…å…¥é–€ã€ã‚’èªã‚“ã§ãŠãã¨è‰¯ã„ã ã‚ã†ï¼Ž juliabox ç„¡æ–™ã§ web browser ã‹ã‚‰ä½¿ãˆã‚‹ julia ç’°å¢ƒã ï¼Ž æŽˆæ¥ã«ã¯ã´ã£ãŸã‚Šï¼Ž2å›žç›®ã®æŽˆæ¥ã¾ã§ã«(ã§ãã‚Œã°åˆå›žã¾ã§ã«)ãƒã‚°ã‚¤ãƒ³ã§ãã‚‹ã‚ˆã†ã«ã—ã¦ãŠã“ã†ï¼Ž å‚è€ƒ æ›¸ç± Unix ã«é–¢ã™ã‚‹ï¼Œè‡ª
Nyoho 2021/10/03
Juliaã§æ•°å€¤è¨ˆç®—ã®è¬›ç¾©ã‚’ã•ã‚Œã¦ã„ã‚‹ã€‚å¾®åˆ†æ–¹ç¨‹å¼ã®æ•°å€¤è§£æ³•ã‚„NNãªã©ã€‚

Julia

math
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Deep Learning with Julia
Nyoho 2021/09/22
tutorial

Julia

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Simulation of a swimming dogfish shark
Nyoho 2021/08/14
Julia
ãƒªãƒ³ã‚¯
Juliaãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ModelingToolkit.jlã§ã‚¿ãƒ³ã‚¯ãƒ¢ãƒ‡ãƒ«ã‚’ä½œæˆã™ã‚‹ - ã‚·ã‚¹ãƒ†ãƒ ã¨ãƒ¢ãƒ‡ãƒªãƒ³ã‚°
ä¹…ã—ã¶ã‚Šã®æŠ•ç¨¿ã§ã™ã€‚ ä»Šå›žã¯éžå› æžœãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã®ãŸã‚ã®Juliaãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ModelingToolkit.jlã‚’ä½¿ç”¨ã—ã¦ã‚¿ãƒ³ã‚¯ãƒ¢ãƒ‡ãƒ«ã‚’ä½œæˆã—ã¦ã¿ã¾ã™ã€‚ ModelingToolkit.jlã«ã¤ã„ã¦ ModelingToolkitã¯Juliaãƒã‚¤ãƒ†ã‚£ãƒ–ã®ãƒ¢ãƒ‡ãƒªãƒ³ã‚°ãƒ„ãƒ¼ãƒ«ã§ã€æ–¹ç¨‹å¼ãƒ™ãƒ¼ã‚¹ã§ãƒ¢ãƒ‡ãƒ«ã‚’è¨˜è¿°ã§ãã¾ã™ã€‚æ–¹ç¨‹å¼ãƒ™ãƒ¼ã‚¹ã®ãŸã‚å…¥åŠ›ã¨å‡ºåŠ›ã‚’åŒºåˆ¥ã—ãªã„éžå› æžœçš„ãªãƒ¢ãƒ‡ãƒªãƒ³ã‚°ãŒå¯èƒ½ã§ã™ã€‚ãã®ä»–ã®éžå› æžœãƒ¢ãƒ‡ãƒªãƒ³ã‚°ãƒ„ãƒ¼ãƒ«ã¯modelicaã‚„åŒã˜ãJuliaãƒ™ãƒ¼ã‚¹ã®modia.jlãŒæœ‰åã§ã™ãŒã€ModelingToolkitã¨ãã‚Œã‚‰ã®ç›¸é•ç‚¹ã¯ä»¥ä¸‹ã®è¨˜äº‹ã«è©³ã—ãæ›¸ã‹ã‚Œã¦ã„ã¾ã™ã€‚ https://www.stochasticlifestyle.com/modelingtoolkit-modelica-and-modia-the-composable-modeling-future-in-julia/ ã¾ãŸã€Mo
Nyoho 2021/07/24
Julia

math
ãƒªãƒ³ã‚¯
ã‚«ãƒ«ãƒžãƒ³ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã«ã¤ã„ã¦ - Qiita
ã¯ã˜ã‚ã« åƒè‘‰å¤§å¦/Nospareã®ç±³å€‰ã§ã™ï¼Žä»Šå›žã¯ã‚«ãƒ«ãƒžãƒ³ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã«ã¤ã„ã¦è§£èª¬ã—ã¦ã„ããŸã„ã¨æ€ã„ã¾ã™ï¼Ž ã‚«ãƒ«ãƒžãƒ³ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã§ä½•ãŒå‡ºæ¥ã‚‹ã®ï¼Ÿ ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã¨ã‚ã‚‹ã‚ˆã†ã«ï¼Œã‚«ãƒ«ãƒžãƒ³ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ãŒå‡ºæ¥ã‚‹åŸºæœ¬çš„ãªã“ã¨ã¯ç·šå½¢ã‚¬ã‚¦ã‚¹çŠ¶æ…‹ç©ºé–“ãƒ¢ãƒ‡ãƒ«ã®ãƒ•ã‚£ãƒ«ã‚¿ãƒªãƒ³ã‚°å¯†åº¦ã‚’é€æ¬¡çš„ã«æ±‚ã‚ã‚‹ã“ã¨ã§ã™ï¼Žã“ã“ã§ï¼’ã¤ã®ã‚ãƒ¼ãƒ¯ãƒ¼ãƒ‰ï¼Œã€Œç·šå½¢ã‚¬ã‚¦ã‚¹çŠ¶æ…‹ç©ºé–“ãƒ¢ãƒ‡ãƒ«ã€ã¨ã€Œãƒ•ã‚£ãƒ«ã‚¿ãƒªãƒ³ã‚°å¯†åº¦ã€ã¨ã„ã†å˜èªžãŒå‡ºã¦ãã¾ã—ãŸã®ã§ï¼Œã¾ãšã¯ãã‚Œã‚‰ã«ã¤ã„ã¦è§£èª¬ã—ã¾ã™ï¼Ž ç·šå½¢ã‚¬ã‚¦ã‚¹çŠ¶æ…‹ç©ºé–“ãƒ¢ãƒ‡ãƒ«ã¨ã¯ çŠ¶æ…‹ç©ºé–“ãƒ¢ãƒ‡ãƒ«ã¨ã¯2ã¤ã®ç¢ºçŽ‡éŽç¨‹ã‹ã‚‰ãªã‚Šã¾ã™ï¼Ž1ã¤ã¯æ½œåœ¨å¤‰æ•°ãƒ»çŠ¶æ…‹å¤‰æ•°ãƒ»éš ã‚Œå¤‰æ•°ã¨ã„ã‚ã‚Œã‚‹ã‚‚ã®ã§ï¼Œã“ã‚Œã¯ç›´æŽ¥è¦³æ¸¬ã§ããªã„ãŒãƒžãƒ«ã‚³ãƒ•é€£éŽ–ã«å¾“ã†å¤‰æ•°ã ã¨ãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã•ã‚Œã¾ã™ï¼Žä¾‹ãˆã°æ™¯æ°—ã®è‰¯ã—ãƒ»æ‚ªã—ç‰ï¼Œæ¦‚å¿µã¨ã—ã¦å˜åœ¨ã™ã‚‹ã‘ã‚Œã©ç›´æŽ¥ã¯è¦³æ¸¬ã§ããªã„ã‚‚ã®ã‚’æƒ³åƒã—ã¦ãã ã•ã„ï¼Ž2ã¤ã‚ã¯è¦³æ¸¬å€¤ã§ï¼Œã“ã‚Œã¯ç›´æŽ¥è¦³æ¸¬ã§ãã‚‹ã‚‚ã®ï¼Œã¤ã¾ã‚Šãƒ‡ãƒ¼ã‚¿ã§ã™ï¼ŽãŸã ã—å¤‰æ•°ã«ä¾å˜ã—ã¦è¦³æ¸¬ã•ã‚Œã‚‹
Nyoho 2021/07/16
Julia
ãƒªãƒ³ã‚¯
GitHub - akio-tomiya/LatticeQCD.jl: A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
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Nyoho 2021/07/01
lattice QCDç”¨ã®Juliaãƒ‘ãƒƒã‚±ãƒ¼ã‚¸

Julia

physics
ãƒªãƒ³ã‚¯
GitHub - JuliaLinearAlgebra/Octavian.jl: Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
Nyoho 2021/06/12
Julia
ãƒªãƒ³ã‚¯
Juliaã§ç²¾åº¦ä¿è¨¼ä»˜ãæ•°å€¤è¨ˆç®—
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Nyoho 2021/05/05
math

Julia
ãƒªãƒ³ã‚¯
é€æ¬¡ãƒ¢ãƒ³ãƒ†ã‚«ãƒ«ãƒã€çŠ¶æ…‹ç©ºé–“ãƒ¢ãƒ‡ãƒ«ã€ç²’åãƒ•ã‚£ãƒ«ã‚¿ãƒ¼
ä»Šå›žã‚‚ã¾ãŸã€é€æ¬¡ãƒ¢ãƒ³ãƒ†ã‚«ãƒ«ãƒã€çŠ¶æ…‹ç©ºé–“ãƒ¢ãƒ‡ãƒ«ã€ãã—ã¦ç²’åãƒ•ã‚£ãƒ«ã‚¿ã«ã¤ã„ã¦ãã‚Œãžã‚Œã‚„ã‚„è©³ã—ãè§£èª¬ã—ã¦ã„ã“ã†ã‹ã¨æ€ã†ã€‚ç†è«–çš„ãªåˆ†æžã¯å°‚é–€å®¶å‘ã‘éŽãŽã‚‹ã®ã§å‰²æ„›ã€‚ ã¾ã™ã¯é€æ¬¡ãƒ¢ãƒ³ãƒ†ã‚«ãƒ«ãƒæ³•ã‹ã‚‰ã€‚$(E,\mathcal{E})$ã‚’é©å½“ãªå¯æ¸¬ç©ºé–“ã¨ã—ã¦ã€$(E^{n},\mathcal{E}^{n}):=(\prod_{p=0}^{n}E^{p},\mathcal{E}^{\otimes n})$ã€€ä¸Šã§å®šç¾©ã•ã‚Œã‚‹ã‚¿ãƒ¼ã‚²ãƒƒãƒˆã¨ãªã‚‹ï¼ˆã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã‚’ã—ãŸã„ï¼‰å¯†åº¦é–¢æ•°ã€€$\left\{ \pi_{n}(x_{0:n})\right\} $ã€€ãŒã‚ã‚‹ã¨ã™ã‚‹ã€‚ä»®å®šã¨ã—ã¦ã€$\left\{ \pi_{n}(x_{0:n})\right\} $ã€€ã®ç©åˆ†åŒ–å®šæ•°ã¯åˆ†ã‹ã‚‰ãªã„ã¨ã™ã‚‹ã€‚ã¤ã¾ã‚Šã€\begin{align} \pi_{n}(x_{0:n}) & =\frac{\gamma_{n}(x_{0:n})}{Z_{n}}
Nyoho 2021/03/29
Julia

statistics
ãƒªãƒ³ã‚¯
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