Taylor展開法による常微分方程式の数値計算の性能
全文
(2) ᦨ߽ㆡߒߡࠆߣᕁࠊࠇࠆ⺰ᧄޕᢥߢߪߣ߭ޔ. ߢࠆޕ. ߟߩߣߒߡޔᄤᢥቇߩਃ㗴ࠍᓥ᧪ߩ. ↪ߒߚ⸘▚ᣇᴺߪޔㅢᏱࠃߊࠊࠇࠆ 4. Runge-Kutta ᴺߣ Taylor ዷ㐿ᴺࠍߞߡ⸃߈ ޔᰴ ߩ Runge-Kutta ᴺ [6] ޔ8 Ბ 6 ᰴ ߩ ⸘▚♖ᐲᤨ▚⸘ޔ㑆ࠍ⺞ߴޔTaylor ዷ㐿ᴺߩ. Runge-Kutta ᴺ[2]߅ࠃ߮ Taylor ዷ㐿ᴺ[4]ߢ. ᕈ⢻ࠍ⺞ߴߚޕ. ࠆߡߒ↪ࠍࠄࠇߎޕ᳞ߚ⸘▚⚿ᨐࠍᲧセ. ⸘▚ߔࠆᏱᓸಽᣇ⒟ᑼߣߒߡ߇ߩߊ⸃ޔ㔍ߒ. ᬌ⸛ߒߚޕ. ߣߐࠇࠆࡇ࠲ࠧࠬߩਃ㗴[5]ࠍㆬᛯߒ. 2 ⸘▚ᣇᴺ. ߚߩࠬࠧ࠲ࡇޕਃ㗴ߣߪޔㄝ㐳 3,4,5 ߩ. 2.1 Runge-Kutta ᴺ. ⋥ⷺਃⷺᒻߩ㗂ὐߩ⟎ߦߩࠇߙࠇߘޔኻㄝ㐳. 㧠ᰴߩ Runge-Kutta ᴺ㧔એ㒠 RK ᴺߣ⇛ߔ㧕. ߦᲧߔࠆ⾰㊂ 3,4,5 ߩ⾰ὐࠍ࿑㧝ߩࠃ߁ߦ㕒. ߢߪߤߩ⒟ᐲࠬ࠹࠶ࡊࠍขࠆߴ߈߆ࠍ೨. ᱛ⁁ᘒߢ㈩⟎ߒ⁁ߩߘޔᘒࠍೋᦼ᧦ઙߣߒߡޔ. ߦ್ᢿߔࠆߎߣ߇㔍ߒߩߢ࠹ࠬߩ߆ߟߊޔ. ߎࠇࠄߩ⾰ὐ߇⋧ߩᒁജߦࠃߞߡߩߎޔᓟߤ. ࠶ࡊࠍ↪ᗧߒߘࠇߙࠇ⸘▚ߒ♖ߩߘޔᐲࠍ⏕. ߁ㆇേߔࠆ߆ࠍㅊߔࠆ㗴ߢࠆޕ. ߒߚޕ. ⾰ὐ m3 ޔm 4 㑆ߩ〒㔌ࠍ r34 ߣ߁ࠃ߁ߦቯ. ↪ߒߚࠬ࠹࠶ࡊ 't ߪޔ. ⟵ߔࠆߣޔ. r34. ( x3 x 4 ) ( y 3 y 4 ). r35. ( x3 x5 ) 2 ( y 3 y 5 ) 2. r45. ( x 4 x5 ) 2 ( y 4 y 5 ) 2. 2. 't. 2. (1.1). ߢࠆޕ 8 Ბ 6 ᰴߩ RK ᴺߢ߽ 4 ᰴߩ႐วߣหߓࠬ࠹ ࠶ࡊࠍ↪ߒߚޕ 2.2 Taylor ዷ㐿ᴺ. ߎࠇࠄࠍ↪ߡㆇേᣇ⒟ᑼࠍᦠߊߣޔ. 4( x3 x 4 ) 5( x3 x5 ) r343 r353. Taylor ዷ㐿ᴺߢߪᰴ߹ߢዷ㐿ߒߡ߽ࠃ. 4( y 3 y 4 ). છᗧᰴᢙߩᢙ୯⸘▚ᴺࠍߞߡ߽♖ᐲߩ⸘. x3". . y 3". . x 4". 3( x3 x 4 ) 5( x 4 x5 ) r343 r453. r. 3 34. . y 4". 3( y 3 y 4 ) 5( y 4 y 5 ) r343 r453. x5". 3( x3 x5 ) 4( x 4 x5 ) r353 r453. y 5". 3( y 3 y 5 ) 4( y 4 y 5 ) r353 r453. x3. 1ޔx. x4. 2ޔx 4'. x5. 1ޔx. ' 3. ' 5. ߇ ߪߢߎߎޔ20 ᰴߩ Taylor ዷ㐿ᑼࠍߞߚޕ. 5( y 3 y 5 ) r353. ߣߥࠆ ޕೋᦼ୯ߪ t. . 10 4 ,10 5 ,10 6 ,10 7. ࠇࠆߎߣ߇ᄙߩߢ ߪߢ▚⸘ᧄޔ20 ᰴߩ (1.2). . 0ޔy 4. 3ޔy. Taylor ዷ㐿ᑼࠍ↪ߔࠆߎߣߦߒߚޕ. f (t ). a 0 a1t a 2 t 2 㨯㨯㨯a 20 t 20. (2.1). ⸘▚ࠬ࠹࠶ࡊ 't ߪޔTaylor ዷ㐿ᑼߩᦨᓟߩ 㗄߇♖ᐲߩ⸘▚ߢήⷞߢ߈ࠆ߶ߤዊߐߣ ߒߡࡊ࠶࠹ࠬޔߩᄢ߈ߐࠍቯߔࠆߣߩߎޕ ߈ᚑࠅ┙ߟᑼߪ. 0 ߩߣ߈ޔ. 0ޔy 3 0ޔy 5. ▚ߢߪ 20 ᰴ⒟ᐲߩᑼߣ߶߷หߓ⚿ᨐ߇ᓧࠄ. ' 3. 0ޔ. 1ޔy 4' 1ޔy. a 20 ('t ) 20 10 17 a0. ' 5. 0ޔ 0ޔ. 2 −62−. ߣߥࠆߩߎޕᑼ߆ࠄࠬ࠹࠶ࡊ 't ߩ୯ߪ. (2.2).
(3) ߘࠇ߶ߤᄢ߈ߥ♖ᐲᡷༀߪࠄࠇߥ߆ߞߚޕ. a0 20 10 a20. 't. 17. ࿁ߩ㗴ߢߪޔPadé ዷ㐿ࠍࠊߥߢ߽ห⒟. (2.3). . ᐲߩ♖ᐲߢ⸘▚ߢ߈ࠆߩߢޔPadé ዷ㐿ࠍ࿁. ߣᓧࠄࠇࠆ(ޕ2.2)ᑼߪ⋧ኻ⹏ଔᑼߢࠆ߇ޔ. ߩ⸘▚ߢߪࠊߥ߆ߞߚޕ. 㧔2.2㧕ߩಽᲣߩ a 0 ࠍ㧝ߦᄌ߃ߚ߽ߩ߇⛘ኻ୯. 3 ᢙ୯⸘▚⚿ᨐ. ⹏ଔᑼߦߥࠆޕ♖ᐲߢ⸘▚ߒߡࠆߩߢ⸘ޔ. 3.1 Runge-Kutta ᴺ. ▚♖ᐲߩ㒢⇇ࠃࠅዋߒዊߐ୯ 10. 17. ࠍߞߚޕ. Taylor ዷ㐿ߩ⸘▚ߢߪ(2.1)ߩዷ㐿ᑼࠍ A . RK ᴺߢߩ⸃ᨆߪ 4 ᰴޔ8 Ბ 6 ᰴߣ߽ߦࠬ࠹ ࠶ࡊࠍᄢ߈ᣇ߆ࠄ㗅ߦ߅ߎߥߞߚޕ. ቯൻ[3]ߒޔ㜞♖ᐲൻࠍ⸘ࠆߚߦ Padé ዷ㐿ࠍ. ࠬ࠹࠶ࡊࠍᄢ߈ߊขߞߚ႐ว▚⸘ޔㅜਛߢ. ߞߡ⸘▚ߔࠆߎߣ߇ߢ߈ࠆޕ. ⾰ὐ m 4 ޔm5 ߩᐳᮡ୯߇ᕆỗߦჇടߒ⛯ߌࠆߣ. Padé ዷ㐿ߣߪޔTaylor ዷ㐿ᑼࠍޔℂ㑐ᢙ. ߁ਇ⥄ὼߥ⚿ᨐࠍ␜ߒߚ߽ߣߞ߽ޕᄢ߈ࠬ. ߦᄌᒻߒߚ߽ߩߢࠆޕ. ࠹࠶ࡊ 't. p 0 p1 x 㨯㨯㨯 p M x M 1 q1 x 㨯㨯㨯 q L x L. a 0 a1 x 㨯㨯㨯. 㑆t. (2.4). 10 4 ߩ႐วߩ 4 ᰴߩ RK ᴺߢᤨ. (0䌾10) ߩ⸘▚ߒߚ⚿ᨐࠍࠣࡈߢߔ. ߣ࿑ 2 ߩࠃ߁ߦߥࠆޕ. (2.4)ᑼߩਔㄝߦฝㄝߩಽᲣࠍដߌ ޔM L ᰴ ߩଥᢙ߹ߢ৻⥌ߔࠆࠃ߁ߦޔℂ㑐ᢙߩଥᢙࠍ. 㪊 㪉㪅㪌. ቯߔࠆߎߣߦࠃߞߡ Padé ዷ㐿ᑼ߇ᓧࠄࠇࠆޕ. 㪉 㪈㪅㪌. ߎߩߣ߈ߩ᧦ઙߪޔᰴߩࠃ߁ߦߐࠇࠆޕ m. al ¦ al k q k k 1. pl (l. l ߇ L ࠍ߃ࠆߥࠄޔm. 㪈 㪇㪅㪌. 0,㨯㨯㨯, M ) (2.5) 㪄㪊. ߚߛߒޔm ߪޔl ߇ L એਅߥࠄ߫ޔm. 0(l. 㪄㪈. l ߣߒޔ. 㪇 㪄㪇㪅㪌 㪇. 㪈. 㪉. 㪊. 㪄㪈㪅㪌. 䌴䋽㪈㪇 㪄㪋. L ߣߔࠆ(ޕ2.5)ߣห. ࿑㧞㧚⾰ὐߩㆇേ ࿑㧞߇␜ߔࠃ߁ߦ⾰ޔὐ m 4 ޔm5 ߇ធㄭߒߚᤨ. ߦߪޔᰴߩ㑐ଥᑼ߇ᓧࠄࠇࠆޕ l. 㪄㪉. 㪄㪈. ߓ㑐ଥᑼߢࠆ߇ ޔl ߇ M ࠍ߃ߡࠆ႐ว. al ¦ al k q k. 㫄㪊 㫄㪋 㫄㪌 㫄㪊㐿ᆎὐ 㫄㪋㐿ᆎὐ 㫄㪌㐿ᆎὐ 㫄㪊⚳ੌὐ 㫄㪋⚳ੌὐ 㫄㪌⚳ੌὐ. 㪊㪅㪌. M 1,㨯㨯㨯, M L) (2.6). k 1. ὐࠍႺߦ⾰ߩࠇߙࠇߘޔὐߩㆇേ߇ਇ⥄ὼߦᄌ ൻߒߡࠆߩߎޕਃ㗴ߦ߅ߡ߽㊀ᔃޔㆇ. (2.6)ߩㅪ┙৻ᰴᣇ⒟ᑼࠍ⸃߈ޔℂᑼߩಽᲣߩ. േ㊂ޔㆇേࠛࡀ࡞ࠡߪሽߐࠇ৻ޔቯ୯ߩߪ. ଥ ᢙ ( q1 , q 2 ,㨯㨯㨯, q L ) ࠍ ቯ ߒ ߩ ߘ ޔଥ ᢙ ࠍ. ߕߢࠆ߇⾰ޔὐ m 4 ޔm5 ߩᢙ୯߇ਇ⥄ὼߦᄌ. (2.5) ᑼ ઍ ߒ ߡ ޔಽ ሶ ߩ ଥ ᢙ. ൻߒᆎߚὐ t. ( p 0 , p1 , p 2 ,㨯㨯㨯, p M ) ࠍ᳞ࠆߎߣ߇ߢ߈ࠆޕ. ࠆߪߕߩㆇേࠛࡀ࡞ࠡߩ୯߇ޔt. Padé ዷ㐿ߪߦ⥸৻ޔหߓᰴᢙߩ Taylor ዷ㐿. ߢ E=-12.817 ߆ࠄ E=-13.181 ߦᄌൻߒߎߎޔ. ᑼࠃࠅ㜞♖ᐲߢޔ᧤ߩ⦟ᑼࠍਈ߃ࠆߎߣ߇. ߹ߢ E=-13.181 ߢ৻ቯߢߚࠇߡߚ߽ߩ߇. ᄙߩߢޔᏱᓸಽᣇ⒟ᑼߩ⸃ߩ Taylor ዷ㐿ᑼ. ߎߩᤨὐࠍႺߦ E=77763 ߦߥࠆߣ߁ਇ⥄ὼ. ࠍ Padé ዷ㐿ߔࠆߎߣߪޔᏱᓸಽᣇ⒟ᑼࠍ㜞♖. ߥ୯ߦᄢ߈ߊᄌൻߒߡߚࠄ߆ߣߎޕታᢙ. ᐲߢቯ⊛ߦ⸘▚ߢ߈ࠆߣᦼᓙߢ߈ࠆޕ. ୯⸘▚ߦᄬᢌߒߡࠆߣ್ᢿߒ' ޔt. ᧄ⸘▚ࠍޔPadé ዷ㐿ࠍߞߡ⸘▚ߔࠆߣ⸘. ߩᢙ୯⸘▚ߪߎߎߢᛂߜಾߞߚߦ߁ࠃߩߎޕᄢ. ▚ᤨ㑆ߪ⚂㧞ߦߥࠆ♖▚⸘ޕᐲߪ⦟ߊߥࠆ߇. ߈ߊࠛࡀ࡞ࠡ߇ᄌൻߒߚߦ߽߆߆ࠊࠄߕޔ㊀. 3 −63−. 8.6 ઃㄭߦ߅ߡ৻ޔቯߢ 1.88 ઃㄭ. 10 4 ߢ.
(4) 10 7 ߩ႐วߩ⚿ᨐߢࠆޕ40 ᰴߩ Taylor. ᔃ߿ㆇേ㊂ߪ߶߷৻ቯߩ୯ࠍߞߡߚޕ. 't. ห ᭽ ߦ 㧤 Ბ 㧢 ᰴ ߩ RK ᴺ ߦ ߅ ߡ ߽ ޔ. ዷ㐿ᑼࠍޔ㧠♖ᐲ㧔10 ㅴᢙߢ⚂ 35 ᩴ㧕. 't. ߩ ႐ ว ߢ ߪ t. 4. 1.88 ઃ ㄭ ߢ E=-12.817 ߆ࠄ E=-12.783 ߦᄌൻߒޔt 15.8. ߢ⸘▚ߒߚ߽ߩࠍ⌀ߩ୯ߣߒߡߞߡࠆޕ. ઃㄭ߹ߢ E=-12.783 ߢ߶߷৻ቯߦߚࠇߡ. ᴺޔTaylor ዷ㐿ᴺߣ߽ߦ⌀୯ߣߩലᩴᢙ߇ 5. ߚ߽ߩ߇ᤨߩߎޔὐߢ E=100073 ߹ߢჇടߒޔ. ᩴએࠍߞߡࠆ߇ߘߩᓟ t ߇ 10 Ⴧടߔࠆ. ࠄ߆ߦ⸘▚ߦᄬᢌߒߡߚ߆ߣߎߩࠄࠇߎޕ. ߏߣߦലᩴᢙ߇㧝ߟᷫࠆߣߞߚ⚿ᨐ߇. ࠄ RK ᴺߢࡇ࠲ࠧࠬߩਃ㗴ࠍ⸘▚ߔࠆ. ࠄࠇ ޔt. ႐วࡊ࠶࠹ࠬޔࠍᄢ߈ߊߒߚ႐วޔᱜ⏕ߥ୯. Taylor ዷ㐿ᴺߤߜࠄߩ႐วߢ⸘▚ߒߚ⚿ᨐ߽. ࠍᓧࠆߎߣ߇࿎㔍ߢࠆߎߣ߇ࠊ߆ࠆࠃߩߎޕ. ⌀୯ߣߪ߆ߥࠅ⺋Ꮕ߇ࠆޕRK ᴺߦࠃࠆ⚿ᨐ. ߁ߥ႐วߢ߽㊀ᔃޔㆇേ㊂ߪ߶߷৻ቯߦߞߡ. ߣ Taylor ዷ㐿ᴺߦࠃࠆ⚿ᨐࠍᲧߴߡߺࠆߣ. ߚޕ. RK ᴺߦࠃߞߡ⸘▚ߒߚ⚿ᨐߩ߶߁߇⌀୯ߣ. ࿑㧞߆ࠄ߽ࠊ߆ࠆࠃ߁ߦ߇ࠡ࡞ࡀࠛޔᄢ߈. ߩ⺋Ꮕ߇ᄢ߈ߎߣ߇ࠊ߆ࠆޕ. 10. ߊᄌൻߔࠆߩߪޔ㧞ߟߩ‛㧔ᄤ㧕߇ធㄭߔ ࠆᤨߢࠆޕ t. 5. ߎߩ⚿ᨐࠍࠆ㒢ࠅߢߪ, t. 80 ߩᤨὐߢߪߘߩ⺋Ꮕߪ RK ᴺޔ. ⸘▚ᤨ㑆ߪ㧞ߩࠃ߁ߦߥߞߚޕRK ᴺߩ႐ วࡊ࠶࠹ࠬޔࠍ 10. 6. 40 ߹ߢߪ RK. 7. ߣ㕖Ᏹߦዊߐߊߣߞߡ. 10 ,10 ߩߣ߈߽ࠛࡀ࡞ࠡ߇ሽߐ. ࠆߚ▚⸘ޔ࿁ᢙ߇ᄙߊߥࠅ⸘▚ᤨ㑆߽㕖Ᏹ. ࠇߕࠄ߆ߦ⸘▚߇⎕✋ߒߡࠆߣ⠨߃ࠄࠇ. ߦᄙߊߥࠆޕRK ᴺߢ߽ࠬ࠹࠶ࡊࠍนᄌߦߢ. ࠆᢙ୯߇ࠄࠇߦ⊛⚳ᦨޔ㧠ᰴߩ RK ᴺߢߪ. ߈ࠆࠃ߁ߦᚑߔࠇ߽߫߁ዋߒᤨ㑆⍴❗ࠍⴕ. 't. 10 ߩ႐วߢ߽ t 7. 41 ઃㄭ߆ࠄࠛࡀ࡞ࠡ. ߁ߎߣ߇ߢ߈ࠆߣᕁࠊࠇࠆޕ. ߇ᄢ߈ߊᄌൻߒߡᱜ⏕ߦ⸘▚ࠍ⚳ੌߔࠆߎ. Taylor ዷ㐿ᴺߢߪޔ㧝࿁ߩࠬ࠹࠶ࡊࠍㅴ. ߣ߇ߢ߈ߥ߆ߞߚޕ㧤Ბ㧢ᰴߩ RK ᴺߦ߅ߡ. ࠆߩߦ⸘▚ᰴᢙ߇㜞ߎߣ߽ࠅᤨߩࠅߥ߆ޔ. ߪ' ޔt. 10 7 ߩࠬ࠹࠶ࡊߢࠇ߫ t. 80 ߹. 㑆ࠍᔅⷐߣߔࠆ▚⸘ޕᰴᢙ߇㜞ߚ࠶࠹ࠬޔ. ߢޔ㊀ᔃޔㆇേ㊂৻߷߶ࠍࠡ࡞ࡀࠛޔቯߦ. ࡊࠍᄢ߈ߊขࠇࠆߚ⸘▚࿁ᢙ߇ዋߥߊߥ. ߞߚ߹߹⸘▚ࠍቢੌߔࠆߎߣ߇ߢ߈ߚޕ. ࠅోޔߣߒߡ⸘▚ᤨ㑆ߩ⍴❗ߦߥࠆ႐ว߇ᄙ. 3.2 Taylor ዷ㐿ᴺ. ߽ߢ▚⸘ߩߎޕᄢߦ⸘▚ᤨ㑆ࠍ⍴❗ߔࠆ. 20 ᰴߩ Taylor ዷ㐿ᴺࠍ↪ߡ⸘▚ߒߚ႐ว. ߎߣ߇ߢ߈ߚޕ. ߪ㗴ߥߊ t. 80 ߹ߢ⸘▚ࠍቢੌߔࠆߎߣ߇. RK ᴺߢߪߩࡊ࠶࠹ࠬ▚⸘ޔ⟎ߩ⸘▚୯ߪ. ߢ߈ߚޔࠡ࡞ࡀࠛޕㆇേ㊂ޔ㊀ᔃߪ㧤Ბ㧢ᰴ. ኈᤃߦࠊ߆ࠆ߇ࡊ࠶࠹ࠬޔㅜਛߩὐߩ㑐ᢙ୯ߪ. ߩ RK ᴺࠃࠅዋߒߛߌ♖ᐲࠃ⚿ᨐࠍᓧࠆߎ. ቢᴺࠍ↪ߒߥߌࠇ߫ߥࠄߥ߇ޔTaylor. ߣ߇ߢ߈ߚ(߈ߣߩߎޕ2.3)ᑼߦࠃߞߡዉ߆ࠇߚ. ዷ㐿ᴺߪዷ㐿ᑼ߇ᓧࠄࠇࠆߩߢߩߘޔᑼߦ⸘▚. ࠬ࠹࠶ࡊߩᦨᄢ୯ߪ 't. ߒߚ⟎ߩᐳᮡࠍઍߔࠆߎߣߦࠃߞߡኈ. ߪ 't. 0.35528 ᦨޔዊ୯. 7. 6.7728 u 10 ߢߞߚޕ. ᤃߦ⸘▚ߢ߈ࠆޕ. 3.3 ♖ᐲߩ⏕ߣᲧセ. 㧞㧚⸘▚ᤨ㑆. ߘࠇߙࠇᣇᴺߢߩᢙ୯⸘▚ߩ⚿ᨐࠍ 10 Ფߩ. ⸘▚ᣇᴺ. t ߦߟߡઃ㍳㧝ߩ㧝ߦ␜ߒߚࠍ▚⸘ޕᱜᏱ. Rnge-Kutta㧔8 Ბ 6 ᰴ㧕 1347.5. ߦ⚳ੌߢ߈ߥ߆ߞߚ RK ᴺߩ⚿ᨐߪ㒰ᄖߒߡ. Taylor. ࠆߚ ߩޔRunge ߩ㗄⋡ߪ 8 Ბ 6 ᰴߩ. −64− 4. ታⴕᤨ㑆㧔⑽㧕. 3.078. ߎߩᢙ୯⸘▚ࠍⴕߞߚⅣႺߪ OS ߣߒߡ.
(5) Windows XPޔCPU ߣߒߡ Pentium4 3.0GHz. ዷ㐿ᴺࠍ↪ߚ߶߁ߪนᄌ㐳ߢࠆߚᐔ. ߢ ࠆ ߡ ߒ ߣ ࠗ ࡄ ࡦ ࠦ ޕVisual. ߥᲧセߣߪ߃ߥ߇ࠍࠇߎޔ⠨ᘦߒߡ߽ޔ. Studio .NET2003 ߩ C++⸒⺆[1]ࠍ↪ߒߚޕ. Taylor ዷ㐿ᴺ߇߆ߥࠅㅦߊ⸘▚ߢ߈ࠆߣᕁࠊ. ㅢ⸒⺆ࡦ࠲ࠗࡓ㧔CLR㧕ࠍࠊߥࡀ. ࠇࠆޕ. ࠹ࠖࡉࠦ࠼ࠍߔࠃ߁ߦߒߡࠦࡦࡄࠗ࡞ߒ. RK ᴺߦ߅ߡ 4 ᰴߢߪ⸘▚ࠍᱜᏱߦታⴕ. ߚ߽ߩࠍ↪ߒߚޕ. ᧪ߥ߇ޔ8 Ბ 6 ᰴߢࠃ߁߿ߊታⴕ᧪ߚߎߣ. 4 ߅ࠊࠅߦ. ߆ࠄߡ߽ޔᰴᢙߩ㜞⸘▚ᴺ߇⸘▚♖ᐲ߇᰼ ߥࠅࡊ࠶࠹ࠬޔ߽ᄢ߈ߊขࠇࠆޕᰴᢙࠍߍ. 㪌㪇. ࠆߎߣ߇ኈᤃߥ Taylor ዷ㐿ᴺߪޔᏱᓸಽᣇ⒟ 㪋㪇. ᑼࠍ⸃ߊߢ↪ߢࠆߣ߃ࠆޕ ⸘▚⚿ᨐࠍࠆߣࠛࡀ࡞ࠡ߇ሽߐࠇࠆ. 㪊㪇. ߩߢ߇ࠡ࡞ࡀࠛޔሽߐࠇࠆߣ߁ 㪉㪇. 㪈㪇. 㪇 㪄㪈㪇. 㪄㪌. 㪇 㪄㪈㪇. 㪌. 㪈㪇. Sympletic ᴺ[3]ࠍ↪ߒߥ߆ߞߚߪࠇߎޕᓟ. 㫄㪊 㫄㪊㐿ᆎὐ 㫄㪊⚳ੌὐ 㫄㪋 㫄㪋㐿ᆎὐ 㪈㪌 㫄㪋⚳ੌὐ 㫄㪌 㫄㪌㐿ᆎὐ 㫄㪌⚳ੌὐ. ߩ⺖㗴ߣߒߚޕ. ෳ⠨ᢥ₂. 㪄㪉㪇. ࿑㧟㧚ਃߩᦨ⚳ㆇേ㧔㨠㧩60㨪80㧕 RK ᴺޔTaylor ዷ㐿ᴺߤߜࠄߩᣇᴺߢ⸘▚ߒ ߡ߽ᦨ⚳⊛ߦ⚂㧟ᩴߩ♖ᐲߩ⚿ᨐߒ߆ᓧࠄࠇ ߆ߞߚ੍ޕᗐࠃࠅࠅߥ߆ޔᄢ߈ߥ⺋Ꮕ߇ߢࠆ⚿ ᨐߣߥߞߚ⾰߽ࠄߜߤޕὐ m3 ߇ xy ᐔ㕙ߩ ╙ 1 ⽎㒢ᣇะ߳ߪߓ߈ߛߐࠇ ޔm 4 ޔm5 ߇⋧ ߦ࿁ォߒ߁ኻࠍࠅ ╙ޔ3 ⽎㒢ᣇะ߳㆙ߑ ߆ߞߡߊߣ߁ࡇ࠲ࠧࠬߩਃ㗴ߩᦨ ⚳ㆇേ㧔࿑㧟㧕ߦ㆐ߒߡࠆߩߢࡊ࠶࠹ࠬޔ ࠍ 't. 10 7 ߦߣߞߚ 8 Ბ 6 ᰴߩ RK ᴺ࠹ࠬޔ. ࠶ࡊࠍ(2.2)ᑼߩ♖ᐲߢߣߞߚ 20 ᰴߩ Taylor ዷ㐿ᴺߢߩ⸘▚⚿ᨐߪ৻ᔕᱜߒߣ⠨߃ࠄࠇ ࠆޕ ࡇ࠲ࠧࠬߩਃ㗴ࠍ Taylor ዷ㐿ᴺߢ⸃ ߊߎߣߢ Taylor ዷ㐿ᴺߦࠃࠆᏱᓸಽᣇ⒟ᑼߩ ᢙ୯⸘▚ߩᕈ⢻ࠍ⺞ߴߚ⚿ᨐޔRK ᴺࠍ↪ߚ ႐วࠃࠅ߽ዋߒߢࠆ߇⸘▚♖ᐲ߇ࠃߊࡠࡊޔ ࠣࡓߢߩ⸘▚ㅦᐲߪ㕖Ᏹߦㅦߣ߃ࠆޕ RK ᴺߩ⸘▚ߩࠬ࠹࠶ࡊߪ࿕ቯ㐳ߢޔTaylor. −65− 5. [1] Ellis M.A. and Stroustrup B 㧦 The Annotated C++ Reference Manual, Addison-Wesley, 1990 [2] Gisela Engeln-Müllges Frank Uhlig 㧦 Numerical Algorithms with Fortran, Springer(1996) [3] Hairer E., Wanner G., Solving Ordinary Differential Equations II, Springer-Verlag, 1991 [4] ᐔጊ ᒄ , ዊች⡛มޔ⮮ഃᄥ㇢ޔ Taylor ⚖ᢙᴺߦࠃࠆᏱᓸಽᣇ⒟ᑼߩ ⸃ᴺ,ᣣᧄᔕ↪ᢙℂቇળޔVol 12. No.1, pp.1-8,(2002) [5] 㐳ᴛ Ꮏޔጊ Ẵሶ㧦ࡄ࠰ࠦࡦߢ ࠆᄤߩേ߈ޔੱᦠ㙚(1992) [6] ጊᧄ ື㇢㧦ᢙ୯⸃ᨆ㐷ࡦࠛࠗࠨޔ ࠬ␠(1959).
(6) ઃ㍳㧝㧚㨠ߦኻߔࠆਃኻߩᐳᮡ⸘▚⚿ᨐ . 0.0. 10.0. 20.0. 30.0. 40.0. 50.0. 60.0. 70.0. 80.0. t. x3. y3. x4. y4. x5. y5. Runge 1.00000. 3.00000. -2.00000 -1.00000 1.00000. -1.00000. Taylor 1.00000. 3.00000. -2.00000 -1.00000 1.00000. -1.00000. ⌀୯. 1.00000. 3.00000. -2.00000 -1.00000 1.00000. -1.00000. Runge 0.77848. 0.14139. -2.02509 0.09722. 1.15299. -0.16261. Taylor 0.77848. 0.14139. -2.02509 0.09722. 1.15299. -0.16261. ⌀୯. 0.77848. 0.14139. -2.02509 0.09722. 1.15299. -0.16261. Runge 3.00429. 0.51193. -1.38863 -0.47048 -0.69167 0.06923. Taylor 3.00429. 0.51193. -1.38863 -0.47048 -0.69167 0.06923. ⌀୯. 3.00429. 0.51193. -1.38863 -0.47048 -0.69167 0.06923. Runge 0.85634. 2.28709. -0.88798 -0.86596 0.18858. -0.67949. Taylor 0.85634. 2.28709. -0.88798 -0.86596 0.18858. -0.67949. ⌀୯. 2.28709. -0.88798 -0.86596 0.18858. -0.67949. Runge -0.62201 1.85831. 0.17355. -2.36842 0.23437. 0.77974. Taylor -0.62200 1.85831. 0.17354. -2.36841 0.23437. 0.77974. ⌀୯. 0.17354. -2.36841 0.23437. 0.77974. Runge -2.70102 -3.79575 1.50436. 0.96132. 0.41712. 1.50840. Taylor -2.70145 -3.79717 1.50588. 0.96083. 0.41616. 1.50964. ⌀୯. 0.96081. 0.41613. 1.50968. 0.85634. -0.62200 1.85831. -2.70146 -3.79722 1.50594. Runge 0.77353. 2.01724. 0.26684. -0.76305 -0.67759 -0.59990. Taylor 0.74483. 1.94267. 0.26436. -0.73282 -0.65838 -0.57935. ⌀୯. 0.74381. 1.93995. 0.26401. -0.73163 -0.65749 -0.57867. Runge 7.48949. 21.4635. -2.43528 -7.14237 -2.54547 -7.16423. Taylor 7.10026. 20.6254. -1.89601 -6.94495 -2.74334 -6.94495. ⌀୯. 6.93346. 20.2618. -2.00301 -6.87246 -2.55767 -6.65911. Runge 13.5850. 39.1561. -4.01787 -13.1847 -4.93671 -12.9460. Taylor 12.7897. 37.4056. -3.86475 -12.5161 -4.58199 -12.5161. ⌀୯. 36.6423. -3.55587 -12.3548 -4.62377 -12.1016. 12.4474. −66− 6.
(7)
関連したドキュメント
An easy-to-use procedure is presented for improving the ε-constraint method for computing the efficient frontier of the portfolio selection problem endowed with additional cardinality
This article demonstrates a systematic derivation of stochastic Taylor methods for solving stochastic delay differential equations (SDDEs) with a constant time lag, r > 0..
This review is devoted to the optimal with respect to accuracy algorithms of the calculation of singular integrals with fixed singu- larity, Cauchy and Hilbert kernels, polysingular
This review is devoted to the optimal with respect to accuracy algorithms of the calculation of singular integrals with fixed singu- larity, Cauchy and Hilbert kernels, polysingular
This review is devoted to the optimal with respect to accuracy algorithms of the calculation of singular integrals with fixed singu- larity, Cauchy and Hilbert kernels, polysingular
The commutative case is treated in chapter I, where we recall the notions of a privileged exponent of a polynomial or a power series with respect to a convenient ordering,
In order to be able to apply the Cartan–K¨ ahler theorem to prove existence of solutions in the real-analytic category, one needs a stronger result than Proposition 2.3; one needs
We provide an efficient formula for the colored Jones function of the simplest hyperbolic non-2-bridge knot, and using this formula, we provide numerical evidence for the