Epigraph Documentation

Epigraph is a modern C++ interface to formulate and solve linear, quadratic and second order cone problems. It makes use of Eigen types and operator overloading for straightforward problem formulation.

Features

• Flexible and intuitive way to formulate LPs, QPs and SOCPs
• Dynamic parameters that can be changed without re-formulating the problem
• Automatically clean up the problem and remove unused variables
• Print the problem formulation and solver data for inspection

Dependencies

• Eigen 3.3.7

Supported Solvers

The solvers are included as submodules for convenience. Note that some solvers have more restrictive licenses which automatically override the Epigraph license when activated. Pass the listed argument to cmake during configuration to enable the solvers.

QP

• OSQP -DENABLE_OSQP=TRUE. Apache-2.0 License.

SOCP

• ECOS -DENABLE_ECOS=TRUE. GPLv3 License.

Usage

Download

git clone --recurse-submodules https://github.com/EmbersArc/Epigraph

CMake

To use Epigraph with a cmake project, simply enable the desired solvers, include the subdirectory and link the library.

set(ENABLE_OSQP TRUE)
set(ENABLE_ECOS TRUE)
add_subdirectory(Epigraph)
target_link_libraries(my_library epigraph)

Documentation

While the example below is likely enough to get you started, the full documentation can be found here.

Example

#include "epigraph.hpp"
 
#include <iostream>
 
// This example solves the portfolio optimization problem in QP form
 
using namespace cvx;
 
int main()
{
    size_t n = 5; // Assets
    size_t m = 2; // Factors
 
    // Set up problem data.
    double gamma = 0.5;          // risk aversion parameter
    Eigen::VectorXd mu(n);       // vector of expected returns
    Eigen::MatrixXd F(n, m);     // factor-loading matrix
    Eigen::VectorXd D(n);        // diagonal of idiosyncratic risk
    Eigen::MatrixXd Sigma(n, n); // asset return covariance
 
    mu.setRandom();
    F.setRandom();
    D.setRandom();
 
    mu = mu.cwiseAbs();
    F = F.cwiseAbs();
    D = D.cwiseAbs();
    Sigma = F * F.transpose();
    Sigma.diagonal() += D;
 
    // Formulate QP.
    OptimizationProblem qp;
 
    // Declare variables with...
    // addVariable(name) for scalars,
    // addVariable(name, rows) for vectors and
    // addVariable(name, rows, cols) for matrices.
    VectorX x = op.addVariable("x", n);
 
    // Available constraint types are equalTo(), lessThan(), greaterThan() and box()
    qp.addConstraint(greaterThan(x, 0.));
    qp.addConstraint(equalTo(x.sum(), 1.));
 
    // Make mu dynamic in the cost function so we can change it later
    qp.addCostTerm(x.transpose() * par(gamma * Sigma) * x - dynpar(mu).dot(x));
 
    // Print the problem formulation for inspection
    std::cout << qp << "\n";
 
    // Create and initialize the solver instance.
    osqp::OSQPSolver solver(qp);
 
    // Print the canonical problem formulation for inspection
    std::cout << solver << "\n";
 
    // Solve problem and show solver output
    const bool verbose = true;
    solver.solve(verbose);
 
    std::cout << "Solver message:  " << solver.getResultString() << "\n";
    std::cout << "Solver exitcode: " << solver.getExitCode() << "\n";
 
    // Call eval() to get the variable values
    std::cout << "Solution:\n" << eval(x) << "\n";
 
    // Update data
    mu.setRandom();
    mu = mu.cwiseAbs();
 
    // Solve again
    // OSQP will warm start automatically
    solver.solve(verbose);
 
    std::cout << "Solution after changing the cost function:\n" << eval(x) << "\n";
}

See the [tests](tests) for more examples, including the same problem in SOCP form.

Problem Formulation

The following terms may be passed to the constraint functions:

Function	Allowed expressions
equalTo()	Affine == Affine
lessThan()	Affine <= Affine or Norm2 + Affine <= Affine (SOCP)
greaterThan()	Affine >= Affine or Affine >= Norm2 + Affine (SOCP)
box()	Affine <= Affine <= Affine
addCostTerm()	Affine (SOCP) or QuadForm + Affine (QP)

With the following expressions:

Expression	Form
Affine	p1 * x1 + p2 * x2 + ... + c
Norm2	(Affine1^2 + Affine2^2 + ...)^(1/2)
QuadForm	x' * P * x where P is Hermitian