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BOJ2468 : ์•ˆ์ „์˜์—ญ (Silver 1) ์šฐ์„  ๋‚˜๋Š” make_safezone์œผ๋กœ safe_zone ๋ฐฐ์—ด์— ์นจ์ˆ˜๋˜๋Š”์ง€ ์•„๋‹Œ์ง€๋ฅผ ์ €์žฅํ•ด์ฃผ์—ˆ๋‹ค. rain_height๋ณด๋‹ค ๋†’์ด๊ฐ€ ๋†’์œผ๋ฉด 1, ๋‚ฎ๊ฑฐ๋‚˜ ๊ฐ™์œผ๋ฉด 0์œผ๋กœ ์˜์—ญ์ด 1๋กœ ๊ฐ€์‹œ์ ์œผ๋กœ ๋ณด์ด๊ฒŒ ๋งŒ๋“ค์–ด์คŒ ๊ทธ๋ฆฌ๊ณ  ๋‚˜์„œ count_safezone ํ•ด์„œ ๋งŒ๋“ค์–ด ๋‘” safezone์˜ ์˜์—ญ ํฌ๊ธฐ๋ฅผ DFS๋ฅผ ํ™œ์šฉํ•ด ์„ธ์–ด์ฃผ์—ˆ๋‹ค. ์ด ๊ณผ์ •์„ rainheight 0๋ถ€ํ„ฐ 100๊นŒ์ง€ ๋ฐ˜๋ณตํ•ด ์ตœ๋Œ“๊ฐ’์„ ์ฐพ์•„์ฃผ๋ฉด ๋! #include #include #include using namespace std; int height[100][100] = {0,}; int safe_zone[100][100] = {0,}; int N = 0; void make_safezone(int rain_height); int count_safezone(..
BOJ3184 : ์–‘ (Silver 1) https://www.acmicpc.net/problem/3184 ์˜ค๋žœ๋งŒ์— ๋Œ์•„์˜จ PS~~~^~^ ์—ฌ๋Ÿฌ๋ถ„ ํ˜น์‹œ ํ•œ ๋ฒˆ์— ๋งž์€ ๊ธฐ๋ถ„์ด ์–ด๋–ค์ง€ ์•„์‹œ๋‚˜์š” ์ผ๋‹จ ์ €๋Š” ์••๋‹ˆ๋‹ค ใ…Žํžˆํžˆใ…ฃํžˆํžˆ ์ง€๊ธˆ ๋‹น์—ฐํžˆ ๋ญํ•˜๋‚˜ ์˜ˆ์™ธ ์žˆ๊ฒ ์ง€ ํ•˜๊ณ  ๋ƒ…๋‹ค ๋Œ๋ ค๋ดค๋Š”๋ฐ ๊ฐ‘์ž๊ธฐ 100% ๋œจ๊ณ  ๋งž์•˜์Šต๋‹ˆ๋‹ค ๋– ์„œ ์†Œ๋ฆฌ์ง€๋ฅผ๋ป”ํ•จ ์ •๋ง ์˜ค๋žœ๋งŒ์— ๋ฐฑ์ค€ ๋‹ค์‹œ ํ’€๊ณ  ์žˆ๋Š”๋ฐ ์–ด์งธ์„œ์ธ์ง€ ํ•œ์ฐธ ๊ณต๋ถ€ํ•  ๋•Œ๋ณด๋‹ค ๋จธ๋ฆฌ๊ฐ€ ๋” ํŒฝํŒฝ ์ž˜ ๋Œ์•„๊ฐ€์œ ,,, ์˜›๋‚ ์—” ์‹ค๋ฒ„ 1 ์ด๋ ‡๊ฒŒ ๋นจ๋ฆฌ ๋ชป ํ’€์—ˆ์—ˆ๋Š”๋ฐ... ๊ทธ๋Ÿผ ์„ค๋ช…์„ ํ•ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹น 1. ์šฐ์„  ๊ธฐํ˜ธ๋ฅผ ์ „๋ถ€ ์ˆซ์ž๋กœ ๋ฐ”๊ฟ” ์ด์ฐจ์› ๋ฐฐ์—ด map์— ์ €์žฅํ•ด์ค€๋‹ค ๋ณด์ž๋งˆ์ž ์™œ์ธ์ง€ ๊ธฐํ˜ธ ๊ทธ๋Œ€๋กœ ๋ƒ…๋‘๋ฉด ๋‚ด๊ฐ€ ๋„ˆ๋ฌด ํ—ท๊ฐˆ๋ฆด ๊ฒƒ ๊ฐ™์•„์„œ ๊ทธ๋ƒฅ ์‹น ๋‹ค ์ˆซ์ž๋กœ ๋ณ€ํ˜•ํ•ด์„œ ์ €์žฅํ•ด์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค ์‚ฌ์‹ค ๋ญ ์‹คํ–‰ ์†๋„์— ์—„์ฒญ ํฐ ์ œ์•ฝ์ด ์žˆ๋Š” ๊ทธ๋Ÿฐ ๋ฌธ์ œ์˜€์œผ๋ฉด ๊ตณ์ด ์•ˆํ•˜๋Š”๊ฒŒ ๋” ..
[๊ฒฝ์˜์ „๋žต] 5. ์‚ฌ์—…ํฌํŠธํด๋ฆฌ์˜ค์กฐ์ •๊ณผ ์‹œ๋„ˆ์ง€ ์ฐฝ์ถœ - ๊ธฐ์—…์ „๋žต 0. ๊ธฐ์—…์ „๋žต๊ณผ ๊ฒฝ์Ÿ์ „๋žต ๊ฒฝ์Ÿ์ „๋žต (Business Strategy) : ์ง€์† ๊ฐ€๋Šฅํ•œ ๊ฒฝ์Ÿ์šฐ์œ„์˜ ์ฐฝ์ถœ How to compete How to create Sustainable Competitive Advantage ๊ธฐ์—…์ „๋žต (Corporate Strategy) : ํ•ต์‹ฌ์—ญ๋Ÿ‰์„ ํŒŒ์•…, ํ™•๋ณดํ•˜์—ฌ ์ด๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์‚ฌ์—…๊ตฌ์กฐ๋ฅผ ์žฌ์กฐ์ •ํ•˜๊ณ  ์‹œ๋„ˆ์ง€๋ฅผ ์ฐฝ์ถœํ•จ Where to Compete? How to create Value through configuration and coordination? ํ•ด์•ผํ•  ์ผ์„ ์ž˜ ์—ฎ์–ด์„œ ์–ด๋–ป๊ฒŒ ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ• ์ง€, ์ฆ‰ how ์‹œ๋„ˆ์ง€? ex) ๋ณต์ˆ˜์˜ ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ๋ณด์œ ํ•œ ๊ธฐ์—…์˜ ๊ด€๋ฆฌ (for ์‹œ๋„ˆ์ง€ ์ฐฝ์ถœ) ๊ธฐ์—…์˜ ์‚ฌ์—… ๋ฒ”์œ„ ๊ฒฐ์ • (๋‹ค๊ฐํ™”, Biz Portfolio ์กฐ์ •, ๊ตฌ์กฐ์กฐ์ •) ๊ธฐ์—…์ „๋žต์—๋Š” 1)..
[๊ฒฝ์˜์ „๋žต] 4. ์ง€์†๊ฐ€๋Šฅํ•œ ๊ฒฝ์Ÿ์šฐ์œ„์ฐฝ์ถœ์„ ์œ„ํ•œ ์ „๋žต - ๊ฒฝ์Ÿ์ „๋žต 0. ๊ฒฝ์Ÿ์ „๋žต์ด๋ž€ ์ „๋žต์˜ ๋‹จ๊ณ„๋Š” ํ™˜๊ฒฝ๋ถ„์„ > ์ „๋žต์ˆ˜๋ฆฝ > ์ „๋žต์‹คํ–‰ > ํ‰๊ฐ€์™€ ํ†ต์ œ ๋กœ ์ด๋ค„์ง„๋‹ค. ์ด ๋•Œ ์ „๋žต์—๋Š” ๊ธฐ์—…์ „๋žต (Corporate Strategy)์™€ ๊ฒฝ์Ÿ์ „๋žต (Competitive Strategy) ๋“ฑ์ด ์žˆ๋‹ค ์ „๋žต์„ ์ˆ˜๋ฆฝํ•  ๋•Œ์—๋Š” ๋‹ค์Œ ์‚ฌํ•ญ๋“ค์„ ๊ณ ๋ คํ•ด์•ผ ํ•œ๋‹ค. 1) Where to compete : ์ „์‚ฌ์ „๋žต๊ณผ ๊ด€๋ จ๋œ issue Industry Products Customers Channel Regions 2) How to compete : ๋ณดํ†ต ์‚ฌ์—… ์ „๋žต๊ณผ ๊ด€๋ จ๋œ issue Value proposition : ๊ณ ๊ฐ๋“ค์—๊ฒŒ ์–ด๋–ค ์ฐจ๋ณ„ํ™”๋œ ๊ณ ๊ฐ ๊ฐ€์น˜๋ฅผ ์–ด๋–ป๊ฒŒ ์ฐฝ์ถœํ•  ๊ฒƒ์ธ๊ฐ€ Business system : value chain ๊ด€๋ จ Core competence : ํ•ต์‹ฌ์—ญ๋Ÿ‰ 3) When to com..
[๊ฒฝ์Ÿ์ „๋žต] 3. ๊ฒฝ์Ÿ์ „๋žต์ˆ˜๋ฆฝ - ๋‚ด๋ถ€ํ™˜๊ฒฝ๊ณผ ํ•ต์‹ฌ์—ญ๋Ÿ‰ 0. ๋‚ด๋ถ€ํ™˜๊ฒฝ์˜ ์ดํ•ด 1. ์ˆ˜์ต์„ฑ ์‚ฐ์—… ํ‰๊ท ๊ณผ ๋น„๊ตํ•˜์—ฌ ๊ฒฝ์Ÿ์ž/์‚ฐ์—… ํ‰๊ท  ๋Œ€๋น„ ์šฐ๋ฆฌ๊ฐ€ ์–ผ๋งˆ๋‚˜ ์ž˜ํ•˜๋Š”์ง€ ๋ถ„์„ ๋‹จ, ์‹ ์ƒ ๊ธฐ์—…์ผ ๊ฒฝ์šฐ Break-even point ๋ณด๊ธฐ [๋ฌธ์ œํ•ด๊ฒฐ๋Šฅ๋ ฅ] MECE principle : ๋ฌธ์ œ๋ฅผ ์ž˜ ์ชผ๊ฐœ์–ด์„œ ๋ณด๊ธฐ (Mutually Exclusive and Collectively Exhaustive) ์›์ธ์ด ์ž‘์€ ๋ถ€๋ถ„์€ ๋ฌด์‹œํ•˜๊ณ  ์ค‘์š”ํ•œ ๋ถ€๋ถ„์— ์ง‘์ค‘ํ•˜๊ธฐ Revenue - cost์—์„œ ์–ด๋–ค ๋ถ€๋ถ„์ด ๋ฌธ์ œ์ธ๊ฐ€ -> ๋” ํฐ ๋ฌธ์ œ๋งŒ ์ง‘์ค‘ํ•ด์„œ ๋ด๋ผ revenue = p*q = p๊ฐ€ ์ ๊ฑฐ๋‚˜ q๊ฐ€ ์ ๊ฑฐ๋‚˜ cost ๊ฐ€ ๋„ˆ๋ฌด ํฌ๊ฑฐ๋‚˜ 1) ํˆฌ์ž์ž๋ณธ ์ˆ˜์ต๋ฅ  : ROIC (Return on Invested Capital) ์ž๋ณธ์„ ํ†ตํ•ด ๋‚˜์˜จ ์ˆ˜์ต ROIC๊ฐ€ ๋†’์•„์•ผ์ง€ ์ˆ˜์ต์„ฑ์ด ๋†’์€ ๊ฒƒ!! ๋‚ฎ๋‹ค๋ฉด ๊ทธ ์ด์œ ๋ฅผ ๋ถ„..
[๊ฒฝ์˜์ „๋žต] 2. ๊ฒฝ์Ÿ์ „๋žต์ˆ˜๋ฆฝ - ์™ธ๋ถ€ํ™˜๊ฒฝ๋ถ„์„ 0. ์™ธ๋ถ€ํ™˜๊ฒฝ์ด๋ž€ ์™ธ๋ถ€ ํ™˜๊ฒฝ = PEST + Industry ๋™ํƒœ์  ๋ถ„์„ : ์‹œ๊ฐ„์˜ ํ๋ฆ„์— ๋”ฐ๋ฅธ ๋ณ€ํ™” (Dynamic state) ์ •ํƒœ์  ๋ถ„์„ : ํ•œ ์‹œ์ ์— ๋Š์–ด์„œ ๋ถ„์„ ex. ๊ทœ๋ชจ์˜ ๊ฒฝ์ œ -> ์ •ํƒœ์  ๋ถ„์„ Learning curve -> ๋™ํƒœ์  ๋ถ„์„ KSF : ์ด ์‚ฐ์—…์—์„œ ์„ฑ๊ณตํ•˜๊ธฐ ์œ„ํ•œ ์š”์†Œ (์ด ํšŒ์‚ฌ๊ฐ€ ์„ฑ๊ณตํ•˜๊ธฐ ์œ„ํ•œ ์š”์†Œ๊ฐ€ ์•„๋‹˜) ์ž์„ธํ•œ ์„ค๋ช…์€ ์•„๋ž˜์—์„œ ํ•ด๋ด…์‹œ๋‹ค 1. Macro-Environment : ๊ฑฐ์‹œํ™˜๊ฒฝ ๋ถ„์„ (=PEST) ์•„๋ฌด๋ฆฌ ์‚ฐ์—…(micro ๋ถ„์„)์ด ์ข‹์•„๋„, ์™ธ๋ถ€ ํ™˜๊ฒฝ์ด ์ข‹์•„์•ผ ํ•จ. P : ๋ฒ•, ์ •์น˜, ๊ทœ์ œ ํ™˜๊ฒฝ (Regulation, Legal, Political) E : ๊ฑฐ์‹œ๊ฒฝ์ œ์  ํ™˜๊ฒฝ (ex. ๋ฉ”๊ฐ€๋“œ๋ Œ๋“œ - ์ด๋จธ์ง• ๋งˆ์ผ“์˜ ๋ถ€์ƒ, ๊ณ ์œ ๊ฐ€) S : ์‚ฌํšŒ๋ฌธํ™”์  ํ™˜๊ฒฝ (ex. SNS, ๊ฐœ๋ฐฉ..
[๊ฒฝ์˜์ „๋žต] 1. ์ „๋žต ํ”„๋ ˆ์ž„์›Œํฌ ๋ฐ ๋น„์ „ 0. ์ „๋žต์ด๋ž€? ์ „๋žต์˜ ์ •์˜ = How to achieve , ๋ชฉํ‘œ๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ์ด๋ฃจ๊ธฐ ์œ„ํ•œ ๋ฐฉ์‹ = ์„ ํƒ๊ณผ ํฌ๊ธฐ ์‹œ๊ฐ„, ๋ˆ, ๋ฆฌ์†Œ์Šค๋Š” ์œ ํ•œํ•จ Aspiration : ์—ด์ •, ์—ด๋ง, ๋ชฉํ‘œ --> ์ด๊ฑธ ๊ธฐ๋ฐ˜์œผ๋กœ ์ „๋žต ์ˆ˜๋ฆฝ ๊ธฐ์—…์˜ ๋น„์ „ ๋ฐ ๋ชฉํ‘œ, ์™ธ๋ถ€ ํ™˜๊ฒฝ ๋ฐ ๋‚ด๋ถ€์—ญ๋Ÿ‰์˜ ์ ํ•ฉ์„ฑ์„ ์ถ”๊ตฌํ•˜์—ฌ '์ œํ•œ๋œ ์ž์›'์œผ๋กœ ์ง€์† ๊ฐ€๋Šฅํ•œ ๊ฒฝ์Ÿ์šฐ์œ„๋ฅผ ์ฐฝ์ถœํ•˜๊ธฐ์œ„ํ•œ ์˜์‚ฌ๊ฒฐ์ • ์ด ๋•Œ ์ž์›๋ฐฐ๋ถ„์˜ ์šฐ์„  ์ˆœ์œ„ ๊ฒฐ์ •์€ "์„ ํƒ๊ณผ ์ง‘์ค‘"!!! ์ „๋žต์˜ ๊ฐ ๊ตฌ์„ฑ ์š”์†Œ๊ฐ„์˜ ์ผ๊ด€์„ฑ ๋ฐ ์ ํ•ฉ์„ฑ์ด ์ค‘์š”ํ•จ ์ „๋žต ํ”ผ๋ผ๋ฏธ๋“œ ๋น„์ฆˆ๋‹ˆ์Šค์˜ ํ†ต์ œ ํญ (์‹œ๊ฐ„) : ๊ธฐ์—…์ „๋žต(๊ธบ) ----------- ์‹คํ–‰ ๋‹จ์œ„๋ณ„ ์ „๋žต (์งง์Œ) ์ž์›์˜ ๊ทœ๋ชจ : ๊ธฐ์—…์ „๋žต (ํผ) ------------- ์‹คํ–‰ ๋‹จ์œ„๋ณ„ ์ „๋žต (์ž‘์Œ) ์กฐ์ง ๊ด€๋ฆฌ ํญ : ๊ธฐ์—…์ „๋žต (๋„“์Œ) --------------..
[๊ฒฝ์˜์ •๋ณด์‹œ์Šคํ…œ] 3. Marketing Research Marketing Research Formal Communication link with the environment for providing accurate and useful information for planning, problem solving, and control which leads to better decision making. specifying, collecting, analyzing, interpreting information์„ ์ˆ˜๋ฐ˜ํ•จ! Primary Data : Expensive Secondary Data : not always suitable research process ๋ฌธ์ œ์ธ์‹์„ ํ•œ๋‹ค ์ด์ „์— ์ฐพ์€ ๊ฒƒ์„ ๊ฒ€ํ† ํ•œ๋‹ค solution์„ ์„ค๊ณ„ํ•˜๊ณ  variables๋ฅผ ์„ ํƒํ•œ๋‹ค ๋ฐ์ดํ„ฐ๋ฅผ..
[๊ฒฝ์˜์ •๋ณด์‹œ์Šคํ…œ] 2. Regression Regression Regression X์™€ Y ์‚ฌ์ด์˜ relationship์„ ๋ถ„์„ํ•˜๋Š” statistical model X = ํ•˜๋‚˜ ์ด์ƒ์˜ independent/explanatory variables Y = dependent, target, explanatory variables, ์ฆ‰ ์šฐ๋ฆฌ๊ฐ€ ์˜ˆ์ธกํ•˜๊ณ  ์‹ถ์€ ๊ฒƒ x๊ฐ’์˜ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ Y๊ฐ’์„ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•ด, ๋” ๋‚˜์•„๊ฐ€ X์™€ Y ๊ฐ„์˜ relationship์„ explanationํ•˜๊ธฐ ์œ„ํ•ด! ๋ฐ์ดํ„ฐ์…‹์„ ํ•™์Šตํ•˜์—ฌ ์•„์ง๋ชจ๋ฅด๋Š” parameter a, b๊ฐ’์„ ๊ตฌํ•ด๋‚ธ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด Height = a + b(Age) ๋ผ๊ณ  ํ•ด๋ณด์ž. Age๊ฐ€ ์ปค์งˆ ์ˆ˜๋ก Height๋„ ์–ด๋Š์ •๋„ ๋น„๋ก€ํ•ด์„œ ์ปค์งˆ ๊ฒƒ์ด๋‹ค. ์‹ค์ œ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ๋ถ„๋ฉด ์œ„์— ํ‘œ์‹œํ•ด๋ณด๋ฉด ๊ทธ๋ž˜ํ”„์˜ ๊ธฐ์šธ๊ธฐ๊ฐ€ ์–‘์ˆ˜์ธ ํ˜•ํƒœ์˜ ๊ทธ๋ž˜..
[๊ฒฝ์˜์ •๋ณด์‹œ์Šคํ…œ] 1. Artificial Intelligence * Exemplary System์€ ์‹œํ—˜๋ฒ”์œ„์— ํฌํ•จ๋˜์ง€ ์•Š์œผ๋‹ˆ ์ƒ๋žตํ•œ๋‹ค Deductive : ์—ฐ์—ญ๋ฒ• (Idea -> Observations -> Conclusion) -> Rule-Based Inductive : ๊ท€๋‚ฉ๋ฒ• -> Case-Based (Observations -> Analysis -> Theory) Artificial Intelligence (AI) A huge set of tools for making computers behave intelligently Expert system : ์‚ฌ๋žŒ์ด ์•„๋Š” ๊ฒƒ์„ ๊ธฐ๊ณ„์—๊ฒŒ ๊ทธ๋Œ€๋กœ ์ฃผ์ž…์‹œ์ผœ ์˜์‚ฌ๋‚˜ ๋ณ€ํ˜ธ์‚ฌ์ฒ˜๋Ÿผ ์ถ”๋ก ํ•˜๋Š” ๊ธฐ๊ณ„๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋‹ค๋Š” ์ƒ๊ฐ์—์„œ ๋‚˜์˜จ ๊ฒƒ์œผ๋กœ Rule based์ธ AI ์ข…๋ฅ˜ ์ค‘ ํ•˜๋‚˜. ํ•˜์ง€๋งŒ ์ด๊ฒƒ์€ ์ธ๊ฐ„์˜ ๋Šฅ๋ ฅ๊ณผ ๋น„๊ตํ–ˆ์„ ๋•Œ ํ•œ์ฐธ ๋ถ€์กฑํ•จ..