**Computational Physics**

by Morten Hjorth-Jensen

**Publisher**: University of Oslo 2007**Number of pages**: 444

**Description**:

This set of lecture notes serves the scope of presenting to you and train you in an algorithmic approach to problems in the sciences, represented here by the unity of three disciplines, physics, mathematics and informatics. This trinity outlines the emerging field of computational physics. Time is ripe for revising the old tale that if mathematics is the queen of sciences then physics is king. Informatics ought definitely to belong among the princely.

Download or read it online for free here:

**Download link**

(3.7MB, PDF)

## Similar books

**Modern Computational Methods in Solids**

by

**Adrian Feiguin**-

**University of Wyoming**

The purpose of this course is to introduce students to a series of paradigmatic physical problems in condensed matter, using the computer to solve them. The course will feel like a natural extension of introductory condensed matter.

(

**7283**views)

**Computational Physics: Problem Solving with Computers**

by

**Rubin H Landau, Manuel J Paez, Cristian Bordeianu**-

**Wiley-VCH**

This text surveys many of the topics of modern computational physics from a computational science point of view. Its emphasis on learning by doing (assisted by many model programs), as with 2nd Edition, but with new materials as well as with Python.

(

**3569**views)

**Computational Nanoscience: Do It Yourself!**

by

**Johannes Grotendorst, Stefan Bluegel, Dominik Marx**-

**NIC**

This volume focuses on the application of electronic structure calculations and dynamical simulation techniques covering aspects of solid state physics, surface and nanoscience, chemical reactions and dynamics, magnetism and electron transport, etc.

(

**14258**views)

**Computational Physics with Python**

by

**Mark Newman**-

**University of Michigan**

The Python programming language is an excellent choice for learning, teaching, or doing computational physics. This page contains a selection of resources the author developed for teachers and students interested in computational physics and Python.

(

**8659**views)