Peterson, James K.
Calculus for Cognitive Scientists
Part I. Introduction
1. Introductory Remarks
James K. Peterson
Part II. Using One Variable
2. Viability Selection
James K. Peterson
3. Limits and Basic Smoothness
James K. Peterson
4. Continuity and Derivatives
James K. Peterson
5. Sin, Cos and All That
James K. Peterson
6. Antiderivatives
James K. Peterson
7. Substitutions
James K. Peterson
8. Riemann Integration
James K. Peterson
9. The Logarithm and Its Inverse
James K. Peterson
10. Exponential and Logarithm Function Properties
James K. Peterson
11. Simple Rate Equations
James K. Peterson
12. Simple Protein Models
James K. Peterson
13. Logistics Models
James K. Peterson
14. Function Approximation
James K. Peterson
15. Extreme Values
James K. Peterson
16. Numerical Methods Order One ODEs
James K. Peterson
17. Advanced Protein Models
James K. Peterson
Part III. Using Multiple Variables
18. Matrices and Vectors
James K. Peterson
19. A Cancer Model
James K. Peterson
20. First Order Multivariable Calculus
James K. Peterson
21. Second Order Multivariable Calculus
James K. Peterson
22. Hamilton’s Rule in Evolutionary Biology
James K. Peterson
Part IV. Summing It All Up
23. Final Thoughts
James K. Peterson
Part V. Advise to the Beginner
24. Background Reading
James K. Peterson
Keywords: Engineering, Computational Intelligence, Mathematical Models of Cognitive Processes and Neural Networks, Theoretical, Mathematical and Computational Physics, Artificial Intelligence (incl. Robotics), Computer Imaging, Vision, Pattern Recognition and Graphics
- Author(s)
- Peterson, James K.
- Publisher
- Springer
- Publication year
- 2016
- Language
- en
- Edition
- 1st ed. 2016
- Series
- Cognitive Science and Technology
- Page amount
- 31 pages
- Category
- Technology, Energy, Traffic
- Format
- Ebook
- eISBN (PDF)
- 9789812878748
- Printed ISBN
- 978-981-287-872-4