Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
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
76k
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
9.8k
Go - CLI Tools Design
kaneshin
0
7.1k
Summer Internship 2018 - The principle of the eureka summer internship 2018
kaneshin
2
140
Summer Internship 2018 - The eureka summer internship 2018
kaneshin
0
150
Summer Internship 2018 - How to develop a product
kaneshin
0
130
How to write Go code
kaneshin
8
8.6k
Go Package Guidelines
kaneshin
1
1.2k
net/http package ~GoConference 2017 Spring~
kaneshin
1
3.1k
Essentials of Golang
kaneshin
5
14k
Other Decks in Programming
See All in Programming
From 6 People Classroom Meetup to 100 People Regional Conference / FOSS4G Hiroshima 2026
furukawayasuto
0
200
What We Talk About When We Talk About XP
m_seki
2
630
AHC070解法紹介
eijirou
0
120
FreeBSDでZabbixを動かす.pdf
kenkino
0
280
AI × TiDD / 2026.09.05 Redmine 大阪
tokudiro
1
170
WebMCP Challenge に星空観察アプリで参加した話
okajun35
0
170
Go × SIMDで高速化するベクトル検索 ~ルーフラインモデルでSIMDが効く境界を探れ! ~
po3rin
1
1k
AgentCore CLI で進化した AWS での AI エージェントの作り方 : 必要な機能を必要な時に
icoxfog417
PRO
3
340
Claude Codeを組織的に動かして月400PRを実現した話
happy_ryo
0
280
WebRTC映像をAirPlayに対応させる挑戦.pdf
monolithic_adam
0
260
AGENTS.md Is Not Enough:Build Skills, Don't Download Them
lx_t
0
120
LoopHub - ローカルで動く GitHub で、AI と共同開発
jugyo
1
550
Featured
See All Featured
Have SEOs Ruined the Internet? - User Awareness of SEO in 2025
akashhashmi
0
500
GraphQLとの向き合い方2022年版
quramy
50
15k
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
330
Scaling GitHub
holman
464
140k
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
1
6.2k
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
520
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.7k
Paper Plane
katiecoart
PRO
4
53k
The Hidden Cost of Media on the Web [PixelPalooza 2025]
tammyeverts
2
500
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
2
2.1k
A better future with KSS
kneath
240
18k
Optimizing for Happiness
mojombo
378
71k
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