Introduction to Qualitative Methods for Differential Equations - Image 1

£61.99

Chapman and Hall/CRC Introduction to Qualitative Methods for Differential Equations

Name: Introduction to Qualitative Methods for Differential Equations
Brand: Chapman and Hall/CRC
Price: 61.99 GBP
Availability: InStock

Applied Mathematics

This is the most expensive it has ever been. Walk away.

£62 today · previous high £62 · all-time low £59

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 86 days • 86 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 86 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £59 (83 days, 96.5%)

Price range: £59 - £62

Price levels: 2 different prices over 86 days

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032727586
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 01 February 2027
Listed Since: 19 October 2024

Barcode

No barcode data available

Chapman and Hall/CRC Introduction to Qualitative Methods for Differential Equations

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Product Specifications

Barcode

Similar Products You Might Like

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

Introduction to Machine Learning Algorithms: Basic Principles and Mathematics

Logistic Regression: Bridging Theory and Practice

Mathematical Analysis with Topological Examples: A Narrative Approach for Undergraduates

High Dimensional Data Analysis: An Interpoint Distance Approach

A Visual Approach to Introductory Functional Analysis

Measure Theory and Integration

Introduction to Inverse Problems for Differential Equations

Bayesian Meta-Analysis: A Practical Introduction

Geometric Orbifold Cohomology

Perspective as Geometry and Design

Mathematical Foundation of the Boundary Integro-Differential Equation Method

Regularity Techniques for Elliptic PDEs and the Fractional Laplacian

Cornerstones in Quantitative Empirical Methods: Volume 1: Foundations

An R Companion to Linear Statistical Models

Introduction to High Performance Computing for Scientists and Engineers, Second Edition (Chapman & Hall/CRC Computational Science)

WP Stand Alone Differential Equations: An Introduction to Modern Methods and Applications

The Art of Data Science: A Practitioner's Guide

Applied Mathematics Toolkit: Modeling, Data, and Algorithms for Scientists and Engineers

An Introduction to Large Language Models

A Course in Large-Sample and High-Dimensional Theory (Chapman & Hall/CRC Texts in Statistical Science)

Robotics: From Theory to Practice (xx xx)

Risk Analysis in Engineering and Economics

Monty the Null Hippopotamus: Exploring Statistical Foundations Through Simulation