Titlebook: Chemical Kinetics with Mathcad and Maple; Viktor Korobov,Valery Ochkov Book 2011 Springer-Verlag/Wien 2011

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書目名稱Chemical Kinetics with Mathcad and Maple影響因子(影響力)




書目名稱Chemical Kinetics with Mathcad and Maple影響因子(影響力)學(xué)科排名




書目名稱Chemical Kinetics with Mathcad and Maple網(wǎng)絡(luò)公開度




書目名稱Chemical Kinetics with Mathcad and Maple網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Chemical Kinetics with Mathcad and Maple被引頻次




書目名稱Chemical Kinetics with Mathcad and Maple被引頻次學(xué)科排名




書目名稱Chemical Kinetics with Mathcad and Maple年度引用




書目名稱Chemical Kinetics with Mathcad and Maple年度引用學(xué)科排名




書目名稱Chemical Kinetics with Mathcad and Maple讀者反饋




書目名稱Chemical Kinetics with Mathcad and Maple讀者反饋學(xué)科排名

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熱情贊揚(yáng)

https://doi.org/10.1007/978-3-662-48735-8 the series of mathematical problems that can be solved with the previously discussed numerical integration methods is quite narrow. That is why, in order to solve the direct problem, we have to rely on more universal approaches. Such approaches are based on using numerical integration of differential equations and systems.

歡樂中國(guó)

Numerical Solution of the Direct Problem in Chemical Kinetics, the series of mathematical problems that can be solved with the previously discussed numerical integration methods is quite narrow. That is why, in order to solve the direct problem, we have to rely on more universal approaches. Such approaches are based on using numerical integration of differential equations and systems.

清澈

Book 2011r predictions for a system over time (for postulated mechanisms).Examples, i.e., oscillating and non-isothermal reactions, help explain the use of mathcad more efficiently. Also included are the results of authors’ own research toward effective computations.

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救護(hù)車

ng and non-isothermal reactions, help explain the use of mathcad more efficiently. Also included are the results of authors’ own research toward effective computations.978-3-7091-1750-7978-3-7091-0531-3

階層

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Inverse Chemical Kinetics Problem,is necessary to calculate the constants so that they fit the experiment. One can see here the main feature of inverse problems: the initial data is obtained experimentally and, thus, contains measurement errors.