SG++
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 Copyright Developer Manual On this page, we describe best coding practices for SG++ User Manual Installation and Usage Select your operating system and compiler to get instructions Linux (GCC/Clang/ICC) This page contains instructions for compiling and using SG++ with GCC, Clang or ICC under Linux OSX (GCC/ICC) This page contains instructions for compiling and using SG++ with GCC or ICC under Mac OSX Windows (MinGW) This page contains instructions for compiling and using SG++ with MinGW (64-bit) under Windows Modules To insure extendability and maintainability, SG++ is divided into a number of modules that implement different functionality Module sgpp::base Fundamental functionality required by all other modules Module sgpp::datadriven Data mining and machine learning Module sgpp::optimization SG++ module for optimization of smooth sparse grid interpolants Module sgpp::pde Operations and functionality related to PDEs Module sgpp::quadrature Stochastic and deterministic quadrature algorithms Module sgpp::solver Solvers in the broadest sense: PDE, linear equations, gradient descent, etc Examples This is a collection of examples from all modules C++ Examples This is a list of all C++ examples dataMatrixSerializeDemo.cpp This example shows how to initialize a DataMatrix object, store it to a file and then to restore it back dataVectorSerializeDemo.cpp This example shows how to initialize, serialize, and deserialize a DataVector object detectPlatformConfiguration.cpp This example can be found under base/examples/detectPlatformConfiguration.cpp JSONExample.cpp This example can be found under base/examples/JSONExample.cpp JSONTest.cpp This example can be found under base/examples/JSONTest.cpp platformConfigurationTest.cpp This example can be found under base/examples/platformConfigurationTest.cpp Spatially-Dimension-Adaptive Refinement in C++ quadrature.cpp The following example shows how to integrate in SG++, using both direct integration of a sparse grid function and the use of Monte Carlo integration tutorial.cpp (Start Here) To be able to quickly start with a toolkit, it is often advantageous (not only for the impatient users), to look at some code examples first Classification Example This example shows how classification specific refinement strategies are used CrossValidationExample.cpp This example can be found under datadriven/examples/CrossValidationExample.cpp learnerSGDETest.cpp This example can be found under datadriven/examples/learnerSGDETest.cpp regressionPipeline.cpp This example can be found under datadriven/examples/regressionPipeline.cpp constrainedOptimization.cpp This example can be found under optimization/examples/constrainedOptimization.cpp optimization.cpp On this page, we look at an example application of the sgpp::optimization module Python Examples This is a list of all Python examples predictiveANOVARefinement.py This example can be found under base/examples/predictiveANOVARefinement.py predictiveRefinement.py This example can be found under base/examples/predictiveRefinement.py quadrature.py The following example shows how to integrate in SG++, using both direct integration of a sparse grid function and the use of Monte Carlo integration refinement.py The following example interpolates the (non-symmetric) function $f\colon [0, 1]^2 \to \mathbb{R},\quad f(x_0, x_1) := 16 (x_0 - 1) x_0 (x_1 - 1) x_1$ tutorial.py (Start Here) To be able to quickly start with a toolkit, it is often advantageous (not only for the impatient users), to look at some code examples first learnerExample.py This example can be found under datadriven/examples/learnerExample.py optimization.py On this page, we look at an example application of the sgpp::optimization module Java Examples This is a list of all Java examples tutorial.java (Start Here) To be able to quickly start with a toolkit, it is often advantageous (not only for the impatient users), to look at some code examples first example_learnerSGDE.java This example can be found under datadriven/examples/example_learnerSGDE.java optimization.java On this page, we look at an example application of the sgpp::optimization module MATLAB Examples This is a list of all MATLAB examples tutorial.m (Start Here) To be able to quickly start with a toolkit, it is often advantageous (not only for the impatient users), to look at some code examples first optimization.m On this page, we look at an example application of the sgpp::optimization module Refinement Example Here we demonstrate how to refine a grid Grid unserialization Example In this example we show how to store a grid into a file and how to load it back into a sgpp::base::Grid object