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Differential Equations and Their Applications : An Introduction to Applied Mathematics

Introduction to Perturbation Methods

Finite Elements II : Galerkin Approximation, Elliptic and Mixed PDEs

Stochastic Modelling of Reaction–Diffusion Processes

The Fluid Dynamics of Cell Motility

An Introduction to Optimal Control Theory : The Dynamic Programming Approach

Theoretical Numerical Analysis : A Functional Analysis Framework

Introduction to Uncertainty Quantification

The Fluid Dynamics of Cell Motility

Introduction to Uncertainty Quantification

The Mathematical Theory of Finite Element Methods

Ordinary Differential Equations: Basics and Beyond

An Introduction to Mathematical Epidemiology

Data Assimilation : A Mathematical Introduction

Finite Elements III : First-Order and Time-Dependent PDEs

Stochastic Processes and Applications : Diffusion Processes, the Fokker-Planck and Langevin Equations

Finite Elements I : Approximation and Interpolation

Markov Chains : Gibbs Fields, Monte Carlo Simulation and Queues

Numerical Methods for Elliptic and Parabolic Partial Differential Equations : With contributions by Andreas Rupp

Quantitative Methods for Investigating Infectious Disease Outbreaks

Markov Chains : Gibbs Fields, Monte Carlo Simulation and Queues

Finite Elements II : Galerkin Approximation, Elliptic and Mixed PDEs

Finite Elements I : Approximation and Interpolation

Numerical Methods for Elliptic and Parabolic Partial Differential Equations : With contributions by Andreas Rupp

Quantitative Methods for Investigating Infectious Disease Outbreaks

Introduction to the Foundations of Applied Mathematics

Calculus of Variations : An Introduction to the One-Dimensional Theory with Examples and Exercises

Numerical Approximation of Partial Differential Equations

Self-Exciting Fluid Dynamos

Introduction to Magnetohydrodynamics

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