\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 4.11 - Linear and Quadratic Programming Solver
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NonnegativeQuadraticProgram Concept Reference

Definition

A model of NonnegativeQuadraticProgram describes a convex quadratic program of the form.

\( \newcommand{\qprel}{\gtreqless} \newcommand{\qpx}{\mathbf{x}} \newcommand{\qpl}{\mathbf{l}} \newcommand{\qpu}{\mathbf{u}} \newcommand{\qpc}{\mathbf{c}} \newcommand{\qpb}{\mathbf{b}} \newcommand{\qpy}{\mathbf{y}} \newcommand{\qpw}{\mathbf{w}} \newcommand{\qplambda}{\mathbf{\lambda}} \)

\begin{eqnarray*} \mbox{(QP)}& \mbox{minimize} & \qpx^{T}D\qpx+\qpc^{T}\qpx+c_0 \\ &\mbox{subject to} & A\qpx\qprel \qpb, \\ & & \qpx \geq 0 \end{eqnarray*}

in \( n\) real variables \( \qpx=(x_0,\ldots,x_{n-1})\). Here,

  • \( A\) is an \( m\times n\) matrix (the constraint matrix),
  • \( \qpb\) is an \( m\)-dimensional vector (the right-hand side),
  • \( \qprel\) is an \( m\)-dimensional vector of relations from \( \{\leq, =, \geq\}\),

  • \( D\) is a symmetric positive-semidefinite \( n\times n\) matrix (the quadratic objective function),

  • \( \qpc\) is an \( n\)-dimensional vector (the linear objective function), and
  • \( c_0\) is a constant.

The description is given by appropriate random-access iterators over the program data, see below. The program therefore comes in dense representation which includes zero entries.

Has Models:

CGAL::Quadratic_program<NT>

CGAL::Quadratic_program_from_mps<NT>

CGAL::Nonnegative_quadratic_program_from_iterators<A_it, B_it, R_it, FL_it, L_it, FU_it, U_it, D_it, C_it>

The value types of all iterator types (nested iterator types, respectively, for A_iterator and D_iterator) must be convertible to some common IntegralDomain ET.

See Also
QuadraticProgram
LinearProgram
NonnegativeLinearProgram

Types

typedef unspecified_type A_iterator
 A random access iterator type to go columnwise over the constraint matrix \( A\). More...
 
typedef unspecified_type B_iterator
 A random access iterator type to go over the entries of the right-hand side \( \qpb\).
 
typedef unspecified_type R_iterator
 A random access iterator type to go over the relations \( \qprel\). More...
 
typedef unspecified_type D_iterator
 A random access iterator type to go rowwise over the matrix \( 2D\). More...
 
typedef unspecified_type C_iterator
 A random access iterator type to go over the entries of the linear objective function vector \( c\).
 

Operations

int get_n () const
 returns the number \( n\) of variables (number of columns of \( A\)) in qp.
 
int get_m () const
 returns the number \( m\) of constraints (number of rows of \( A\)) in qp.
 
A_iterator get_a () const
 returns an iterator over the columns of \( A\). More...
 
B_iterator get_b () const
 returns an iterator over the entries of \( \qpb\). More...
 
R_iterator get_r () const
 returns an iterator over the entries of \( \qprel\). More...
 
D_iterator get_d () const
 returns an iterator over the rows of \( 2D\). More...
 
C_iterator get_c () const
 returns an iterator over the entries of \( \qpc\). More...
 
std::iterator_traits
< C_iterator >::value_type 
get_c0 () const
 returns the constant term \( c_0\) of the objective function.
 

Member Typedef Documentation

A random access iterator type to go columnwise over the constraint matrix \( A\).

The value type is a random access iterator type for an individual column that goes over the entries in that column.

A random access iterator type to go rowwise over the matrix \( 2D\).

The value type is a random access iterator type for an individual row that goes over the entries in that row, up to (and including) the entry on the main diagonal.

A random access iterator type to go over the relations \( \qprel\).

The value type of R_iterator is CGAL::Comparison_result.

Member Function Documentation

A_iterator NonnegativeQuadraticProgram::get_a ( ) const

returns an iterator over the columns of \( A\).

The corresponding past-the-end iterator is get_a()+get_n(). For \( j=0,\ldots,n-1\), *(get_a()+j) is a random access iterator for column \( j\).

B_iterator NonnegativeQuadraticProgram::get_b ( ) const

returns an iterator over the entries of \( \qpb\).

The corresponding past-the-end iterator is get_b()+get_m().

C_iterator NonnegativeQuadraticProgram::get_c ( ) const

returns an iterator over the entries of \( \qpc\).

The corresponding past-the-end iterator is get_c()+get_n().

D_iterator NonnegativeQuadraticProgram::get_d ( ) const

returns an iterator over the rows of \( 2D\).

The corresponding past-the-end iterator is get_d()+get_n(). For \( i=0,\ldots,n-1\), *(get_d()+i) is a random access iterator for the entries in row \( i\) below or on the diagonal. The valid range of this iterator is guaranteed to have length \( i+1\) but not more. Values to the right of the diagonal are deduced from the symmetry requirement on \( D\).

R_iterator NonnegativeQuadraticProgram::get_r ( ) const

returns an iterator over the entries of \( \qprel\).

The corresponding past-the-end iterator is get_r()+get_m(). The value CGAL::SMALLER stands for \( \leq\), CGAL::EQUAL stands for \( =\), and CGAL::LARGER stands for \( \geq\).