Difference between revisions of "ALPS 2 Tutorials:Overview"

From ALPS
Jump to: navigation, search
Line 37: Line 37:
 
* [[ALPS_2_Tutorials:MC-07_Phase_Transition |  MC-07 Phase transition in the Ising model ]]
 
* [[ALPS_2_Tutorials:MC-07_Phase_Transition |  MC-07 Phase transition in the Ising model ]]
 
* [[ALPS_2_Tutorials:MC-08_Quantum_Phase_Transition |  MC-08 Quantum phase transition in a quantum spin model ]]
 
* [[ALPS_2_Tutorials:MC-08_Quantum_Phase_Transition |  MC-08 Quantum phase transition in a quantum spin model ]]
* [[ALPS_2_Tutorials:MC-09_Directed_Worm_Algorithm_(Second_Edition) | MC-09 Simulating the Bose-Hubbard model using QMC Directed-Worm-Algorithm (DWA) code ]]
 
 
* [[Comments:_which_code_to_choose_for_your_calculation |  Comments: Which QMC code should you choose for your problem?]]
 
* [[Comments:_which_code_to_choose_for_your_calculation |  Comments: Which QMC code should you choose for your problem?]]
  

Revision as of 20:52, 15 September 2013



The tutorial web pages shall facilitate the usage of the ALPS software to solve physics problems. These tutorials are compatible with the version 2.0 of the ALPS libraries and applications. For the 1.3 tutorials see here .

ALPS tutorials

General introduction to running simulations using ALPS

Monte Carlo simulations

Monte Carlo simulations -- Directed worm algorithm

Exact diagonalization

Density Matrix Renormalization Group (DMRG)

Dynamical Mean Field Theory (DMFT) solvers

Time-Evolving Block Decimation (TEBD)

ALPS examples

The ALPS examples section provide examples of real simulations, which require more computing resources to run.

Dynamical Mean Field Theory (DMFT) solvers

ALPS code development tutorials

ALPSize tutorial

How to 'alpsize' your application program written in C, C++, or Fortran step by step. It easily becomes possible to use ALPS functionalities, such as Parameters and Alea, as well as ALPS scheduler by packaging with CMake and setting the link with the ALPS library.