Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
線形計画法とカーマーカー法 〜プログラマのための数学勉強会#3〜
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Shintaro Kaneko
May 22, 2015
Programming
75k
3
Share
線形計画法とカーマーカー法 〜プログラマのための数学勉強会#3〜
カーマーカー法はやめて「線形計画法と整数計画法」です。
Shintaro Kaneko
May 22, 2015
More Decks by Shintaro Kaneko
See All by Shintaro Kaneko
How to keep growing SRE team at Eureka
kaneshin
3
9.6k
Go - CLI Tools Design
kaneshin
0
7k
Summer Internship 2018 - The principle of the eureka summer internship 2018
kaneshin
2
130
Summer Internship 2018 - The eureka summer internship 2018
kaneshin
0
130
Summer Internship 2018 - How to develop a product
kaneshin
0
120
How to write Go code
kaneshin
8
8.4k
Go Package Guidelines
kaneshin
1
1.2k
net/http package ~GoConference 2017 Spring~
kaneshin
1
3k
Essentials of Golang
kaneshin
5
14k
Other Decks in Programming
See All in Programming
AI時代のPhpStorm最新事情 #phpcon_odawara
yusuke
0
190
おれのAgentic Coding 2026/03
tsukasagr
1
150
CDK Deployのための ”反響定位”
watany
4
760
ローカルで稼働するAI エージェントを超えて / beyond-local-ai-agents
gawa
3
280
2026_04_15_量子計算をパズルとして解く
hideakitakechi
0
110
L’IA au service des devs : Anatomie d'un assistant de Code Review
toham
0
250
의존성 주입과 모듈화
fornewid
0
140
Vibe하게 만드는 Flutter GenUI App With ADK , 박제창, BWAI Incheon 2026
itsmedreamwalker
0
550
(Re)make Regexp in Ruby: Democratizing internals for the JIT
makenowjust
1
140
Lightning-Fast Method Calls with Ruby 4.1 ZJIT / RubyKaigi 2026
k0kubun
3
370
Xdebug と IDE による デバッグ実行の仕組みを見る / Exploring-How-Debugging-Works-with-Xdebug-and-an-IDE
shin1x1
0
380
HTML-Aware ERB: The Path to Reactive Rendering @ RubyKaigi 2026, Hakodate, Japan
marcoroth
0
130
Featured
See All Featured
BBQ
matthewcrist
89
10k
It's Worth the Effort
3n
188
29k
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
100
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.9k
How to train your dragon (web standard)
notwaldorf
97
6.6k
Measuring & Analyzing Core Web Vitals
bluesmoon
9
810
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
120
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
1.9k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
250
1.3M
Paper Plane
katiecoart
PRO
1
49k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
1.9k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.4k
Transcript
ઢܗܭը๏ͱΧʔϚʔΧʔ๏ ϓϩάϥϚͷͨΊͷֶษڧձ
ઢܗܭը๏ͱΧʔϚʔΧʔ๏
ΧʔϚʔΧʔͷ୭ಘ
ΧʔϚʔΧʔͷ୭ಘ ͑ͬʂʁ
ઢܗܭը๏ͱΧʔϚʔΧʔ๏
ઢܗܭը๏ͱܭը๏
ࣗݾհ Shintaro Kaneko ‣ גࣜձࣾΤϨΧ ‣ pairsͷ։ൃશൠ୲ ‣ ࠷ۙGoݴޠͰ։ൃ͍ͯ͠·͢ ‣
େֶ࣌ ‣ ࠷దԽͷඇઢܗܭը๏Λઐ߈ ‣ github.com/kaneshin/lbfgs ʢݹʣ ‣ ඍํఔ͕͖ࣜͩͬͨ kaneshin kaneshinth shintaro.kaneko
ࣗݾհ Shintaro Kaneko ‣ גࣜձࣾΤϨΧ ‣ pairsͷ։ൃશൠ୲ ‣ ࠷ۙGoݴޠͰ։ൃ͍ͯ͠·͢ ‣
େֶ࣌ ‣ ࠷దԽͷඇઢܗܭը๏Λઐ߈ ‣ github.com/kaneshin/lbfgs ʢݹʣ ‣ ඍํఔ͕͖ࣜͩͬͨ kaneshin kaneshinth shintaro.kaneko ٱ͠ৼΓͷֶʂ
Copyright © 2009-2015 eureka, Inc. All rights reserved.
Copyright © 2009-2015 eureka, Inc. All rights reserved.
Copyright © 2009-2015 eureka, Inc. All rights reserved. ‣ pairsϚονϯάΞϧΰϦζϜ͕ඇৗʹॏཁ
‣ ๛ͳϢʔβʔͷσʔλͷ׆༻ ‣ ΤϯδχΞ͕Ϗδωε໘͔ΒΞϧΰϦζϜΛߟ͑Δ ‣ ࣾษڧձͰRษڧʴ౷ܭֶͷษڧձ։࠵ ‣ ϏοάσʔλΛਖ਼͍ࣝ͠Ͱ༻͢Δ ‣ ౷ܭΛؒҧͬͨೝࣝͰ༻͠ͳ͍ʢภͬͨσʔλΛΘͳ͍
ຊ౷ܭͷͰ ͋Γ·ͤΜʂ
ຊͷΰʔϧ
ຊͷΰʔϧ ࠷దԽʢཧܭըʣΛ ͪΐͬͱͰͬͯΒ͏
ຊ͢͜ͱ
ຊ͢͜ͱ ΦϖϨʔγϣϯζɾϦαʔν ࠷దԽʢཧܭըʣ ઢܗܭըͱܭը
ຊΒͳ͍͜ͱ Βͳ͍͜ͱ ϓϩάϥϜͰγϛϡϨʔγϣϯ Γ͔ͨͬͨΜͰ͕͢ ͕࣌ؒݫ͍͠ͷͰׂѪ
ຊ͢͜ͱ ΦϖϨʔγϣϯζɾϦαʔν ࠷దԽʢཧܭըʣ ઢܗܭըͱܭը
ΦϖϨʔγϣϯζɾϦαʔν
ΦϖϨʔγϣϯζɾϦαʔνʢORʣ ‣ OR૬͍Λࢦ͢ ‣ ༷ʑͳܭըʹରͯ͠࠷ޮతʹͳΔΑ͏ҙࢥܾఆ͢Δ ‣ ֶɾ౷ܭతϞσϧɺΞϧΰϦζϜͷར༻ ‣ ʮγϛϡϨʔγϣϯʯͷཱ֬ORཱ͕ऀ ‣
ORͰݱ࣮ͷΛཧϞσϧʹஔ͖͑Δ ‣ ࠷దԽɼͪߦྻɼ֬ͳͲ ‣ ܉ࣄతؔ৺ͱܦࡁతؔ৺͕ڧ͍
ͭ·Γʁ
ྫ͑ɼேͷ௨ۈిं
ேͷ௨ۈిं ‣ ܦ࿏ݕࡧʹʮYahoo!࿏ઢʯ͍ͬͯΔͱࢥ͍·͢ ‣ ཪଆͰʮܦ࿏ޮʯʮίετޮʯͷߟྀ ‣ Ո͔ΒӺ·Ͱʹཁ͢Δ࣌ؒΛܭࢉ ‣ ెาӺͰిंΛͨͳ͍Α͏ʹग़ൃ͢Δܭը ‣
ࢁखઢͷَͷΑ͏ͳμΠϠ ‣ γϛϡϨʔγϣϯ͕Կສճ͞Εͨ݁Ռ
ேͷ௨ۈిं ‣ ܦ࿏ݕࡧʹʮYahoo!࿏ઢʯ͍ͬͯΔͱࢥ͍·͢ ‣ ཪଆͰʮܦ࿏ޮʯʮίετޮʯͷߟྀ ‣ Ո͔ΒӺ·Ͱʹཁ͢Δ࣌ؒΛܭࢉ ‣ ెาӺͰిंΛͨͳ͍Α͏ʹग़ൃ͢Δܭը ‣
ࢁखઢͷَͷΑ͏ͳμΠϠ ‣ γϛϡϨʔγϣϯ͕Կສճ͞Εͨ݁Ռ ͜ΕΒORͷҰछ
ׂͱۙʹOR
ຊ͢͜ͱ ΦϖϨʔγϣϯζɾϦαʔν ࠷దԽʢཧܭըʣ ઢܗܭըͱܭը
࠷దԽ
࠷దԽORͷҰཁૉ
ઢܗܭը ඇઢܗܭը ܭը ήʔϜཧ OR σʔλ ϚΠχϯά : : :
: ۚ༥ֶ ࠷దԽ
࠷దԽͱ ʢoptimization problemʣ ཧܭըͱΑΕΔ ʢMathematical Programming Problemʣ
࠷దԽͱ ༩͑ΒΕͨ݅ͷͱͰ ԿΒ͔ͷؔΛ࠷খԽɾ࠷େԽ͢Δ
࠷దԽͱ ༩͑ΒΕͨ݅ͷͱͰ ԿΒ͔ͷؔΛ࠷খԽɾ࠷େԽ͢Δ
࠷దԽͱ
࠷దԽͱ ੍݅ͷͱͰ
࠷దԽͱ ੍݅ͷͱͰɼతؔͷ
࠷దԽͱ ੍݅ͷͱͰɼతؔͷ ࠷దͱͳΔ
࠷దԽͱ ੍݅ͷͱͰɼతؔͷ ࠷దͱͳΔ࠷దղΛ
࠷దԽͱ ੍݅ͷͱͰɼతؔͷ ࠷దͱͳΔ࠷దղΛ࣮ߦՄೳྖҬ͔Β୳͢
࠷దԽͱ ੍݅ͷͱͰɼతؔͷ ࠷దͱͳΔ࠷దղΛ࣮ߦՄೳྖҬ͔Β୳͢
తؔɾ੍݅ʹΑͬͯ ࠷దԽྨ͞ΕΔ
࠷దԽͷྨʢ෦తʣ ‣ ઢܗܭը ‣ తؔɾ੍݅ͷू߹͕̍࣍ࣜͷΈ ‣ ඇઢܗܭը ‣ తؔɾ੍݅ʹඇઢܗ͕ࣜଘࡏ͢Δ ‣
ܭըʢࠞ߹ɾ७ʣ ‣ ੍݅ͷҰ෦·ͨશͯͷมͷͱΔ͕ ‣ ̎࣍ܭը ‣ త͕ؔ̎࣍ࣜɼ੍݅ͷू߹͕̍࣍ࣜ etc…
ઢܗܭը ඇઢܗܭը ܭը ήʔϜཧ OR ࠷దԽ σʔλ ϚΠχϯά : :
: : ۚ༥ֶ
ઢܗܭը ඇઢܗܭը ܭը ήʔϜཧ OR ࠷దԽ σʔλ ϚΠχϯά : :
: : ۚ༥ֶ
ຊ͢͜ͱ ΦϖϨʔγϣϯζɾϦαʔν ࠷దԽʢཧܭըʣ ઢܗܭըͱܭը
ઢܗܭը
ઢܗܭը తؔɾ੍݅ͷू߹͕̍࣍ࣜͷΈ
ྫɿੜ࢈ܭը
̎มͷੜ࢈ܭը ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ
̎มͷੜ࢈ܭը ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ ‣ ར༻ՄೳྔɿM1 ≦ 27t,
M2 ≦ 45t, M3 ≦15t
̎มͷੜ࢈ܭը ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ ‣ ར༻ՄೳྔɿM1 ≦ 27t,
M2 ≦ 45t, M3 ≦15t ‣ P1ͷੜ࢈ ‣ M1Λ2t, M2Λ8t, M3Λ3t ‣ ར५2ສʂ
̎มͷੜ࢈ܭը ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ ‣ ར༻ՄೳྔɿM1 ≦ 27t,
M2 ≦ 45t, M3 ≦15t ‣ P1ͷੜ࢈ ‣ M1Λ2t, M2Λ8t, M3Λ3t ‣ ར५2ສʂ ‣ P2ͷੜ࢈ ‣ M1Λ6t, M2Λ6t, M3Λ1t ‣ ར५5ສʂ
̎มͷੜ࢈ܭը ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ ‣ ར༻ՄೳྔɿM1 ≦ 27t,
M2 ≦ 45t, M3 ≦15t ‣ P1ͷੜ࢈ ‣ M1Λ2t, M2Λ8t, M3Λ3t ‣ ར५2ສʂ ‣ P2ͷੜ࢈ ‣ M1Λ6t, M2Λ6t, M3Λ1t ‣ ར५5ສʂ ར५Λ࠷େԽ͍ͨ͠
̎มͷੜ࢈ܭը ݪྉʘ P1 P2 ར༻Մೳྔ M1 2 6 27 M2
8 6 45 M3 3 1 15 ར५ 2 5
̎มͷੜ࢈ܭը ݪྉʘ P1 P2 ར༻Մೳྔ M1 2 6 27 M2
8 6 45 M3 3 1 15 ར५ 2 5
̎มͷੜ࢈ܭը P1, P2ͷੜ࢈ྔΛมྔ (x1, x2) ͱ͢Δͱ Λ࠷େԽͤ͞Δ࠷దԽͱͳΔ
̎มͷੜ࢈ܭը ݪྉʘ P1 P2 ར༻Մೳྔ M1 2 6 27 M2
8 6 45 M3 3 1 15 ར५ 2 5
̎มͷੜ࢈ܭը ੍݅ར༻Մೳͳݪྉͷྔͱඇෛ
̎มͷੜ࢈ܭը ੍݅ར༻Մೳͳݪྉͷྔͱඇෛ
̎มͷੜ࢈ܭը ઢܗܭըͱͯ͠ఆࣜԽ
̎มͷੜ࢈ܭը ઢܗܭըͱͯ͠ఆࣜԽ ͜ͷͷ࠷దղΛٻΊ͍ͨ
ͱ͜ΖͰ
࿈ଓ͔ʁ
ܭը
ܭը ੍݅ͷҰ෦·ͨશͯͷมͷͱΔ͕
ྫɿੜ࢈ܭըʢʣ
̎มͷੜ࢈ܭըʢʣ ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ ‣ ར༻ՄೳྔɿM1 ≦ 27t,
M2 ≦ 45t, M3 ≦15t ‣ P1ͷੜ࢈ ‣ M1Λ2t, M2Λ8t, M3Λ3t ‣ ར५2ສʂ ‣ P2ͷੜ࢈ ‣ M1Λ6t, M2Λ6t, M3Λ1t ‣ ར५5ສʂ ར५Λ࠷େԽ͍ͨ͠
̎มͷੜ࢈ܭըʢʣ ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ ‣ ར༻ՄೳྔɿM1 ≦ 27t,
M2 ≦ 45t, M3 ≦15t ‣ P1ͷੜ࢈ɹݸͰΫϨ ‣ M1Λ2t, M2Λ8t, M3Λ3t ‣ ར५2ສʂ ‣ P2ͷੜ࢈ɹݸͰΫϨ ‣ M1Λ6t, M2Λ6t, M3Λ1t ‣ ར५5ສʂ ར५Λ࠷େԽ͍ͨ͠
̎มͷੜ࢈ܭըʢʣ ‣ M1, M2, M3ͷݪྉΛ༻͍ͯɼP1, P2Λੜ࢈͍ͯ͠Δ ‣ ར༻ՄೳྔɿM1 ≦ 27t,
M2 ≦ 45t, M3 ≦15t ‣ P1ͷੜ࢈ɹݸͰΫϨ ‣ M1Λ2t, M2Λ8t, M3Λ3t ‣ ར५2ສʂ ‣ P2ͷੜ࢈ɹݸͰΫϨ ‣ M1Λ6t, M2Λ6t, M3Λ1t ‣ ར५5ສʂ ར५Λ࠷େԽ͍ͨ͠
̎มͷੜ࢈ܭըʢʣ ઢܗܭըͱͯ͠ఆࣜԽ
̎มͷੜ࢈ܭըʢʣ ઢܗܭըͱͯ͠ఆࣜԽ ͰΫϨ ͰΫϨ
̎มͷੜ࢈ܭըʢʣ ܭըͱͯ͠ఆࣜԽ
̎มͷੜ࢈ܭըʢʣ ܭըͱͯ͠ఆࣜԽ ͜ͷͷ࠷దղΛٻΊ͍ͨ
άϥϑͰΈΔղ๏ ԼهΛάϥϑͰදݱ͢Δ
None
None
ઢܗܭըͷ߹
ઢܗܭըͷ߹
ઢܗܭըͷ߹
ઢܗܭըͷ߹ ࠷దղ
ܭըͷ߹
ܭըͷ߹ ࠷దղ?
ܭըͷ߹ ࠷దղ!
ઢܗܭըͱܭըͷҧ͍ ‣ ઢܗܭըͷ࠷దղ ‣ ୯ମ๏ͱ͍͏ɺลΛḷ͍ͬͯ͘ํ๏͕࣮༻త ‣ ଟ߲ࣜ࣌ؒͰղ͚ͳ͍ͱ͖͕͋Δ ‣ ๏ͱ͍͏ղ๏ଘࡏ͢Δ ‣
࣮ߦྖҬͷ෦͔ΒղΛ୳ࡧ͢Δ ‣ ܭըͷ࠷దղ ‣ ઢܗܭըͰಘΒΕͨ࠷దղʹ͍ۙͷ͕࠷దղʹͳΒͳ͍ ߹͕͋Δ ๏ ϫγ͕ҭͯͨ
·ͱΊ
·ͱΊ ࠷దԽ ͳΜͱͳ͘ཧղͯ͠Β͑ͨͰ͠ΐ͏͔ʁ
·ͱΊ - ࠷ޙʹ ‣ ͜ͷ·ͩ·ͩϓϩάϥϜͷࢿ࢈͕গͳ͍ ‣ ཧϞσϧʹམͱͨ͢Ίʹֶͷ͕ࣝͳ͍ͱ͍͠ ‣ ઐతͳاۀ͕ಠ͍ͯ͠Δײ͕͋Δ ‣
ͦΕͧΕͷܭըߟ͑Δ͜ͱ͕ҧ͏ ‣ ݚڀ͍ͨ͠߹ΛߜΔ͖
·ͱΊ ͜ΕҎ্ͷ࠷దԽͷ γϛϡϨʔγϣϯͳͲ ୭͔͕ͬͯ͘ΕΔͱ৴͍ͯ͡·͢ʂ
Thank you :)
͓·͚ - ๏ʢΧʔϚʔΧʔ๏ʣ