3
Your Cart
3
Your Cart

Applied Computational Physics is a graduate-level text stressing three essential elements: advanced programming techniques, numerical analysis, and physics. The goal of the text is to provide students with essential computational skills that they will need in their careers, and to increase the confidence with which they write computer programs designed for their problem domain. The physics problems give them an opportunity to reinforce their programming
skills, while the acquired programming skills augment their ability to solve physics problems. The C++ language is used throughout the text. Physics problems include Hamiltonian systems, chaotic systems, percolation, critical phenomena, few-body and multi-body quantum systems, quantum field theory, simulation of
radiation transport, and data modeling.

X

New item(s) have been added to your cart.

Quantity: 1
Total $14.99

Frequently bought with Grokking Deep Learning


Black Hat Python, 2nd Edition: Python Programming for Hackers and Pentesters Original price was: $29.99.Current price is: $19.99.
View more
View more
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications Original price was: $79.99.Current price is: $19.99.
View more
Foundations of Data Science with Python Original price was: $89.99.Current price is: $29.99.
View more
Learn Quantum Computing with Python and Q#: A hands-on approach Original price was: $49.99.Current price is: $14.99.
View more
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) Original price was: $59.99.Current price is: $19.99.
View more
Math for Programmers: 3D graphics, machine learning, and simulations with Python Original price was: $49.99.Current price is: $19.99.
View more
The Hundred-Page Machine Learning Book Original price was: $49.99.Current price is: $19.99.
View more
Cart