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Calculus for cognitive scientists[electronic resource] :derivatives, integrals and models /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	515
書名/作者:	Calculus for cognitive scientists : derivatives, integrals and models // by James K. Peterson.
作者:	Peterson, James K.
出版者:	Singapore : : Springer Singapore :, 2016.
面頁冊數:	xxxi, 507 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Calculus.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Mathematical Models of Cognitive Processes and Neural Networks.
標題:	Theoretical, Mathematical and Computational Physics.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Computer Imaging, Vision, Pattern Recognition and Graphics.
ISBN:	9789812878748
ISBN:	9789812878724
內容註:	Introductory Remarks -- Viability Selection -- Limits and Basic Smoothness -- Continuity and Derivatives -- Sin, Cos and All That -- Antiderivatives -- Substitutions -- Riemann Integration -- The Logarithm and Its Inverse -- Exponential and Logarithm Function Properties -- Simple Rate Equations -- Simple Protein Models -- Logistics Models -- Function Approximation -- Extreme Values -- Numerical Methods Order One ODEs -- Advanced Protein Models -- Matrices and Vectors -- A Cancer Model -- First Order Multivariable Calculus -- Second Order Multivariable Calculus -- Hamilton's Rule In Evolutionary Biology -- Final Thoughts -- Background Reading.
摘要、提要註:	This book provides a self-study program on how mathematics, computer science and science can be usefully and seamlessly intertwined. Learning to use ideas from mathematics and computation is essential for understanding approaches to cognitive and biological science. As such the book covers calculus on one variable and two variables and works through a number of interesting first-order ODE models. It clearly uses MatLab in computational exercises where the models cannot be solved by hand, and also helps readers to understand that approximations cause errors - a fact that must always be kept in mind.
電子資源:	http://dx.doi.org/10.1007/978-981-287-874-8

Calculus for cognitive scientists[electronic resource] :derivatives, integrals and models /
Peterson, James K.

Calculus for cognitive scientistsderivatives, integrals and models /[electronic resource] :by James K. Peterson. - Singapore :Springer Singapore :2016. - xxxi, 507 p. :ill., digital ;24 cm. - Cognitive science and technology,2195-3988. - Cognitive science and technology..

Introductory Remarks -- Viability Selection -- Limits and Basic Smoothness -- Continuity and Derivatives -- Sin, Cos and All That -- Antiderivatives -- Substitutions -- Riemann Integration -- The Logarithm and Its Inverse -- Exponential and Logarithm Function Properties -- Simple Rate Equations -- Simple Protein Models -- Logistics Models -- Function Approximation -- Extreme Values -- Numerical Methods Order One ODEs -- Advanced Protein Models -- Matrices and Vectors -- A Cancer Model -- First Order Multivariable Calculus -- Second Order Multivariable Calculus -- Hamilton's Rule In Evolutionary Biology -- Final Thoughts -- Background Reading.

This book provides a self-study program on how mathematics, computer science and science can be usefully and seamlessly intertwined. Learning to use ideas from mathematics and computation is essential for understanding approaches to cognitive and biological science. As such the book covers calculus on one variable and two variables and works through a number of interesting first-order ODE models. It clearly uses MatLab in computational exercises where the models cannot be solved by hand, and also helps readers to understand that approximations cause errors - a fact that must always be kept in mind.

ISBN: 9789812878748

Standard No.: 10.1007/978-981-287-874-8doiSubjects--Topical Terms:

171867
Calculus.

LC Class. No.: QA303.2

Dewey Class. No.: 515

Calculus for cognitive scientists[electronic resource] :derivatives, integrals and models /
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520 $a This book provides a self-study program on how mathematics, computer science and science can be usefully and seamlessly intertwined. Learning to use ideas from mathematics and computation is essential for understanding approaches to cognitive and biological science. As such the book covers calculus on one variable and two variables and works through a number of interesting first-order ODE models. It clearly uses MatLab in computational exercises where the models cannot be solved by hand, and also helps readers to understand that approximations cause errors - a fact that must always be kept in mind.
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