Calculus for Cognitive Scientists: Higher Order Models and Their Analysis: 0 (Cognitive Science and Technology) - Image 1

£108.78

Springer Calculus for Cognitive Scientists: Higher Order Models and Their Analysis: 0 (Cognitive Science and Technology)

Name: Calculus for Cognitive Scientists: Higher Order Models and Their Analysis: 0 (Cognitive Science and Technology)
Brand: Springer
Price: 108.78 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£109 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 29 days • 29 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 29 days • 1 price levels

Days at Price

Price Analysis

Most common price: £109 (29 days, 100.0%)

Price range: £109 - £109

Price levels: 1 different prices over 29 days

Description

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. From the Back Cover 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. About the Author Dr. James Peterson is an Associate Professor in Mathematical Sciences and Biological Sciences at Clemson University, USA. His formal training is in mathematics but he has worked as an aerospace engineer and a software engineer also. He enjoys working on very hard problems that require multiple disciplines to make sense out of and he reads, studies and plays in cutting edge areas a lot as part of his interests.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 981135720X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 09 December 2018
Listed Since: 10 December 2018

Barcode

No barcode data available

Springer Calculus for Cognitive Scientists: Higher Order Models and Their Analysis: 0 (Cognitive Science and Technology)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Differential Equations with MATLAB: Exploration, Applications, and Theory (Textbooks in Mathematics)

Differential Equations with MATLAB: Exploration, Applications, and Theory: 15 (Textbooks in Mathematics)

Elementary Differential Equations: Applications, Models, and Computing (Textbooks in Mathematics)

Practical MATLAB Modeling with Simulink: Programming and Simulating Ordinary and Partial Differential Equations

A Course in Ordinary Differential Equations

Elementary Differential Equations (Textbooks in Mathematics)

Ordinary and Partial Differential Equations

Differential Equations: Linear, Nonlinear, Ordinary, Partial

Ordinary Differential Equations And Boundary Value Problems - Volume I: Advanced Ordinary Differential Equations: 7 (Trends in Abstract and Applied Analysis)

Solving ODEs with MATLAB

Ordinary Differential Equations: Introduction and Qualitative Theory, Third Edition (Chapman & Hall/CRC Pure and Applied Mathematics)

Scientific Computing with MATLAB and Octave: 2 (Texts in Computational Science and Engineering, 2)

Ordinary Differential Equations: Example-driven, Including Maple Code (De Gruyter Textbook)

Trends in Differential Equations and Applications: 8 (SEMA SIMAI Springer Series, 8)

Ordinary Differential Equations and Mechanical Systems

Solving Odes with Matlab

Formal and Analytic Solutions of Diff. Equations: FASdiff, Alcalá de Henares, Spain, September 2017, Selected, Revised Contributions: 256 (Springer Proceedings in Mathematics & Statistics, 256)

Textbook on Ordinary Differential Equations: A Theoretical Approach

Methods of Small Parameter in Mathematical Biology (Modeling and Simulation in Science, Engineering and Technology)

Engineering Mathematics with MATLAB

Modelling with Ordinary Differential Equations: A Comprehensive Approach (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Special Functions and Analysis of Differential Equations

Advanced Mathematical Methods in Science and Engineering

Lectures, Problems And Solutions For Ordinary Differential Equations (Second Edition)