Go to main content

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

Peterson, James K. (James Kent), author.
2016
QA303.2
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Calculus for cognitive scientists [electronic resource] : derivatives, integrals and models / James K. Peterson.
Author
Peterson, James K. (James Kent), author.
ISBN
9789812878748 (electronic book)
9812878742 (electronic book)
9789812878724
DOI
https://doi.org/10.1007/978-981-287-874-8
Published
Singapore : Springer, [2016]
Copyright
©2016
Language
English
Description
1 online resource.
Item Number
10.1007/978-981-287-874-8 doi
Call Number
QA303.2
Dewey Decimal Classification
515
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed February 11, 2016).
Series
Cognitive science and technology.
Available in Other Form
Print version: 9789812878724
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Part I, Introduction. Introductory remarks
Part II, Using one variable. 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
Part III, Using multiple variables. Matrices and vectors ; A cancer model ; First oder multivariable calculus ; Second order multivariable calculus ; Hamilton's rule in evolutionary biology
Part IV, Summing it all up . Final thoughts
Part V, Advise to the beginner. Background reading.

Browse Subjects

Show more subjects...

Statistics

from
to
Export