Books

Computational Physics: From Equations to Simulation

by Alexander Godunov

Forthcoming from World Scientific (2027)

Contents:

Part I: Computational Physics in Practice

  1. The Nature of Computational Physics
  2. The Computational Environment: Tools and Infrastructure
  3. Computational Workflow: From Physics Problem to Simulation
  4. Numerical Errors and Uncertainty in Computation

Part II: Numerical Methods in Computational Physics

  1. Interpolation
  2. Numerical Differentiation
  3. Numerical Integration
  4. Linear Systems and Eigenvalue Problems
  5. Initial Value Problems for Ordinary Differential Equations
  6. Boundary Value Problems for Ordinary Differential Equations
  7. Solving Nonlinear Equations

Part III: Simulation and Advanced Computational Methods

  1. Monte Carlo Methods
  2. Optimization and Data Fitting
  3. Molecular Dynamics Simulation
  4. Parallel Computing: An Orientation to HPC
  5. AI and Machine Learning in Physics

Pragmatic Mathematics for Scientists and Engineers

Pragmatic Mathematics for Scientists and Engineers

by Alexander Godunov and John A. Adam

World Scientific ISBN: 978-9811291333 (2024) ISBN: 978-9811291333 (hardcover)

Contents:

  1. Infinite Series
  2. Complex Numbers
  3. Vectors
  4. Matrices
  5. Partial Differentiation
  6. Line Integrals and Multiple Integrals
  7. Fourier Series and Transforms
  8. First-Order Ordinary Differential Equations
  9. Second-Order Linear Differential Equations
  10. The Green's Function Method
  11. Calculus of Variations
  12. Functions of Complex Variables

Introductory Computational Physics

Introductory Computational Physics

by Andi Klein and Alexander Godunov

Cambridge University Press: ISBN 978-0521828628 (2006) ISBN: 978-0521828628 (hardcover)

Contents:

  1. Introduction
  2. Basics
  3. Short introduction to Linux
  4. Interpolation I
  5. Interpolation II
  6. Taking derivatives
  7. Numerical integration
  8. Solution of nonlinear equations
  9. Differential equations
  10. Matrices
  11. Random processes and Monte Carlo simulation