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Titlebook: Calculus for Cognitive Scientists; Higher Order Models James K. Peterson Book 2016 Springer Science+Business Media Singapore 2016 Antideri

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發(fā)表于 2025-3-21 16:22:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Calculus for Cognitive Scientists
副標(biāo)題Higher Order Models
編輯James K. Peterson
視頻videohttp://file.papertrans.cn/221/220868/220868.mp4
概述Well-designed self-study program on linear and nonlinear models based on both ordinary and partial differential equations.Comprehensively discusses the computational tools used to find solutions.Inclu
叢書名稱Cognitive Science and Technology
圖書封面Titlebook: Calculus for Cognitive Scientists; Higher Order Models  James K. Peterson Book 2016 Springer Science+Business Media Singapore 2016 Antideri
描述.This book offers a self-study program on how mathematics, computer science and science can be profitably and seamlessly intertwined. This book focuses on two variable ODE models, both linear and nonlinear, and highlights theoretical and computational tools using MATLAB to explain their solutions. It also shows how to solve cable models using separation of variables and the Fourier Series..
出版日期Book 2016
關(guān)鍵詞Antiderivatives; Cancer Model; First Order Multivariable; First Order ODEs; Function Approximation; Insul
版次1
doihttps://doi.org/10.1007/978-981-287-877-9
isbn_softcover978-981-13-5720-6
isbn_ebook978-981-287-877-9Series ISSN 2195-3988 Series E-ISSN 2195-3996
issn_series 2195-3988
copyrightSpringer Science+Business Media Singapore 2016
The information of publication is updating

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A Cancer Modelpproximated with a very careful error analysis. The key variables here are the rate of CIN and the size of the cell population. A simple algebraic relationship between these two variables is developed which predicts which pathway is dominant.
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Pierre Baldi,Yves Chauvin,Van Mittal-Henkletools for visualization. The vector cross product and its use in the tangent plane approximation is derived. The idea of the gradient and Hessian are reviewed along with error estimates for tangent plane approximations in terms of the Hessian. Finally, tests for the existance of extreme values for a
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