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数学 大学生・専門学校生・社会人

(2)なぜ解答のような解き方ができるのか分からないので教えて欲しいです 僕は (a,b)=(30,10),,,①の時のZ((a,b)における1次近似式をZと置いてます)と(a,b)=(30.05,10.02),,,②の時のZを求めて, ②-①という戦法で解こうとしましたが... 続きを読む

2. 基礎解析学 (1)] (1) f(x,y) = f(a,b)+2ab(x-a)+3a2b2(y-b)+(-a)2 + (y-b)2C (x,y), ただし C'(x,y) は (a, b) のまわりで定義され, (a,b) で連続でC(a,b) = 0 となる函数 . (2) 約 8400 増加. [f(a,b)+2ab'(x-a)+3a2b2 (y-b) において (a,b)=(30,10), x-a=0.05, y-b=0.02 とすると 2・30・103・0.05 + 3・302.102.0.02 = 3000 + 5400 = 8400 これがf の 変化量の近似値となる.なお, 実際の変化量は8431.3... 程度 . ] (3) 約 2000 減少 [f(a,b)+2ab(x-a)+3a2b2(y-b) において (a,b)=(20,10), x-a=0.01, y-b= -0.02 とすると, 2・20・103・0.01 + 3.202.102(-0.02) =400-2400=-2000. 実際の 変化量は1997.5... 程度. ] [注.「全微分」というものをdz = fr(a,b)dx+fy(a,b) dy あるいはこれと同等な形で定義して いる教科書も多い. これの詳しい意味は教科書である難波誠 『微分積分学』 (裳華房) p.146 を参 1 照してほしい.この定義を用いると次のような解答が可能: (2) dz=2abdx+3a2b2dy におい て (a,b) = (30, 10), dx = 0.05, dy = 0.02 とすると, dz = 2.30.10°.0.05 + 3・302・102.0.02 = 3000 + 5400 = 8400. これがの変化量の近似値となる. (3) dz = 2abdx+3a2b2dy において (a,b) = (20,10), dx = 0.01, dy = -0.02 とすると, dz = 2.20・103・0.01 + 3.202.102(-0.02) = 400 - 2400 = -2000. ]

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TOEIC・英語 大学生・専門学校生・社会人

下線部(1)の文構造が分かりません。特に2行目の文構造が分かりません。強調のdoであることは分かりますが、その後のthat以降が関係詞?かすらも分からないので、誰か教えて下さい!

次の英文は1991年に出版された本からのもので、 研究分野としての「人工知 能」 (Artificial Intelligence) について述べています。 下線部(1)~(3)を日本語に訳 しなさい。 What is Artificial Intelligence (AI)? Just about the only characterization of Al that would meet with universal acceptance is that it involves trying to make machines do tasks which are normally seen as requiring intelligence. There are countless refinements of this characterization: what sort of machines we want to consider; how we decide what tasks require intelligence and so on. One of the most important questions concerns the reasons why we want to make machines do such tasks. AI has always been split between people who want to make machines do tasks that require intelligence because they want more useful machines, and people who want to do it because they see it as a way of exploring how humans do such tasks. We will call the two approaches the engineering approach and the cognitive-science respectively. (2) (1) approach The techniques required for the two approaches are not always very different. For many of the tasks that engineering AI wants solutions to, the only systems we know about that can perform them are humans), so that, at least initially, the obvious way to design solutions is to try to mimic what we know about humans. For many of the tasks that cognitive-science Al wants solutions to, the evidence on how humans do them is too hard to interpret to enable us to construct computational models, so the only approach is to try to design solutions from scratch" and then see how well they fit what we know about humans. The main visible difference between the two approaches is in (3) their criteria for success; an engineer would be delighted to have create something that outperformed a person; a cognitive scientist would regard it as a failure. -1- M7 (492-61

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