ALPS 2 Tutorials:Overview

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 Running and evaluating simulations using ALPS Using the command line (with limited evaluation tools) Using Python Using the provenance-enabled Vistrails workflow system Definition of lattices Definition of models Definition of custom measurements Common parameters Common hardcoded measurements The tools Monte Carlo simulations MC-01 Classical Monte Carlo simulations and autocorrelations MC-02 Calculating magnetic susceptibilities by the classical MC and looper QMC codes MC-03 Calculating magnetization curves by the directed loop QMC code MC-04 Custom measurements in the QMC codes MC-05 Simulating the Bose-Hubbard model using the worm QMC code MC-06 Extended ensemble simulations (Quantum Wang-Landau) MC-07 Phase transition in the Ising model MC-08 Quantum phase transition in a quantum spin model MC-09 Simulating the Bose-Hubbard model using Directed-Worm-Algorithm (DWA) code Comments: Which QMC code should you choose for your problem? Exact diagonalization ED-01 Sparse Diagonalization (Lanczos) ED-02 Spin gaps of 1D quantum systems ED-03 Spectra of 1D quantum systems ED-04 Conformal field theory description of 1D critical spectra ED-05 Phase transition in a frustrated spin chain ED-06 Full Diagonalization Density Matrix Renormalization Group (DMRG) DMRG-01 Density Matrix Renormalization Group Introduction DMRG-02 Calculating gaps DMRG-03 Calculating local observables DMRG-04 Calculating correlations Dynamical Mean Field Theory (DMFT) solvers DMFT-01 An introduction to DMFT DMFT-02 CT-HYB: the CT-HYB QMC solver DMFT-03 CT-INT: the CT-INT QMC solver DMFT-04 Mott Transition DMFT-05 Orbitally Selective Mott Transition DMFT-06 Paramagnetic metal DMFT-07 The Hirsch-Fye solver DMFT-08 Setting a particular lattice Time-Evolving Block Decimation (TEBD) TEBD-01 Quenches in the hardcore boson model TEBD-02 Time Evolution of a domain wall in the XX model

ALPS examples The ALPS examples section provide examples of real simulations, which require more computing resources to run. Dynamical Mean Field Theory (DMFT) solvers Néel transition in single site DMFT Paramagnetic metal and extrapolation errors

ALPS code development tutorials Using the ALPS libraries in your projects. Code-01: A tutorial on writing a simple simulation using the Alea library and ALPS file formats in Python. Code-02: A tutorial on writing a simple simulation using the Alea library and ALPS file formats in C++. Code-03: A tutorial on writing a simple simulation in Vistrails using a Python source module. Code-04: A tutorial on writing a simple simulation package in Vistrails. Code-05: A tutorial on writing a simulation package in Vistrails that uses ALPS modules. Code-06: Writing a Monte Carlo simulation using the ALPS scheduler and libraries The Alea library for Monte Carlo measurements ALPSize tutorial How to 'alpsize' your application program written in C, C++, or Fortran step by step: ALPSize Alpsize-01: A tutorial for using CMake in your projects. Alpsize-02: An example of simplest Wolff cluster update written in C. Alpsize-03: A tutorial for writing a program in C++. Alpsize-04: A tutorial for using C++ Standard Template Library. Alpsize-05: A tutorial for using Boost C++ library. Alpsize-06: A tutorial for using ALPS/parameters library. Alpsize-07: A tutorial for using ALPS/alea library. Alpsize-08: A tutorial for using ALPS/lattice library. Alpsize-09: A tutorial for using ALPS/parapack scheduler. Alpsize-10: A brief introduction how to compile your Fortran application with ALPS/parapack scheduler. Alpsize-11: A tutorial for using ALPS/parapack scheduler from your Fortran application.