2
0
mirror of https://github.com/boostorg/ublas.git synced 2026-02-22 15:52:18 +00:00

Update doc matches name change sparse_ to mapped_

This commit is contained in:
Michael Stevens
2005-03-14 13:29:04 +00:00
parent 308fd81c84
commit 07658594e7
7 changed files with 113 additions and 341 deletions

View File

@@ -1,224 +0,0 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta name="generator" content=
"HTML Tidy for Linux/x86 (vers 1st March 2004), see www.w3.org" />
<meta http-equiv="Content-Type" content=
"text/html; charset=us-ascii" />
<link href="ublas.css" type="text/css" />
<title>DenseVector Concept</title>
</head>
<body>
<h1><img src="c++boost.gif" alt="c++boost.gif" align="middle" />
DenseVector Concept</h1>
<h2>DenseVector</h2>
<h4>Description</h4>
<p>A dense-vector is a, exactly as the name says, a dense vector that is intended to behave well for linear algebra operations</p>
<h4>Refinement of</h4>
<p><a href="expression_concept.htm#vector_expression">Vector Expression</a><a href="#footnote1">[1]</a>.</p>
<h4>Associated types</h4>
<p>
In addition to the types defined int
<a href="expression_concept.htm#vector_expression">Vector Expression</a>
</p>
<table border="0" summary="types">
<tbody>
<tr>
<td>Storage</td>
<td>array_type</td>
<td>The type of underlying storage used to store the elements</td>
</tr>
</tbody>
</table>
<h4>Notation</h4>
<table border="0" summary="notation">
<tbody>
<tr>
<td><code>V</code></td>
<td>A type that is a model of Vector</td>
</tr>
<tr>
<td><code>v</code></td>
<td>Objects of type <code>V</code></td>
</tr>
<tr>
<td><code>n, i</code></td>
<td>Objects of a type convertible to <code>size_type</code></td>
</tr>
<tr>
<td><code>t</code></td>
<td>Object of a type convertible to <code>value_type</code></td>
</tr>
<tr>
<td><code>p</code></td>
<td>Object of a type convertible to <code>bool</code></td>
</tr>
</tbody>
</table>
<h4>Definitions</h4>
<h4>Valid expressions</h4>
<p>In addition to the expressions defined in <a href=
"expression_concept.htm#vector_expression">Vector Expression</a> the
following expressions must be valid.</p>
<table border="1" summary="expressions">
<tbody>
<tr>
<th>Name</th>
<th>Expression</th>
<th>Type requirements</th>
<th>Return type</th>
</tr>
<tr>
<td>Sizing constructor</td>
<td><code>V v (n)</code></td>
<td>&nbsp;</td>
<td><code>V</code></td>
</tr>
<tr>
<td>Element access <a href="#element_access_note">[1]</a></td>
<td><code>v[n]</code></td>
<td><code>n</code> is convertible to <code>size_type</code></td>
<td><code>reference</code> if v is mutable, <code>const_reference</code> otherwise</td>
</tr>
<tr>
<td>Insert</td>
<td><code>v.insert_element (i, t)</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Erase</td>
<td><code>v.erase_element (i)</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Clear</td>
<td><code>v.clear ()</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Resize</td>
<td><code>v.resize (n)</code><br />
<code>v.resize (n, p)</code></td>
<td><code>v</code> is mutable.</td>
<td><code>void</code></td>
</tr>
<tr>
<td>Storage</td>
<td><code>data() const</code></td>
<td></td>
<td><code>const array_type&amp;</code></td>
</tr>
<tr>
<td>Storage</td>
<td><code>data()</code></td>
<td><code>v</code> is mutable</td>
<td><code>array_type&amp;</code></td>
</tr>
</tbody>
</table>
<h4>Expression semantics</h4>
<p>Semantics of an expression is defined only where it differs
from, or is not defined in <a href=
"expression_concept.htm#vector_expression">Vector Expression</a> .</p>
<table border="1" summary="semantics">
<tr>
<th>Name</th>
<th>Expression</th>
<th>Precondition</th>
<th>Semantics</th>
<th>Postcondition</th>
</tr>
<tr>
<td>Sizing constructor</td>
<td><code>V v (n)</code></td>
<td><code>n &gt;= 0</code></td>
<td>Allocates a vector of<code>n</code> elements.</td>
<td><code>v.size () == n</code>.</td>
</tr>
<tr>
<td>Element access <a href="#element_access_note">[1]</a></td>
<td><code>v[n]</code></td>
<td><code>0&lt;n&gt;v.size()</code></td>
<td>returns the n-th element in v</td>
<td></td>
</tr>
<tr>
<td>Insert</td>
<td><code>v.insert_element (i, t)</code></td>
<td><code>0 &lt;= i &lt; v.size ()</code> and<br />
<code>v (i)</code> is equal to <code>value_type (0)</code>.</td>
<td>A copy of <code>t</code> is inserted in <code>v</code>.</td>
<td><code>v (i)</code> is a copy of <code>t</code>.</td>
</tr>
<tr>
<td>Erase</td>
<td><code>v.erase_element (i)</code></td>
<td><code>0 &lt;= i &lt; v.size ()</code></td>
<td>Destroys the element <code>v (i)</code> and replaces it with
<code>value_type ()</code>.</td>
<td><code>v (i)</code> is a copy of <code>value_type
()</code>.</td>
</tr>
<tr>
<td>Clear</td>
<td><code>v.clear ()</code></td>
<td>&nbsp;</td>
<td>Equivalent to<br />
<code>for (i = 0; i &lt; v.size (); ++ i)</code><br />
&nbsp; <code>v.erase (i);</code></td>
<td>&nbsp;</td>
</tr>
<tr>
<td>Resize</td>
<td><code>v.resize (n)
<br />v.resize (n, p)</code></td>
<td>&nbsp;</td>
<td>Reallocates the vector so that it can hold <code>n</code>
elements.<br />
Erases or appends elements in order to bring the vector to the prescribed size. Appended elements copies of <code>value_type()</code>.
<br />
When <code>p == false</code> then existing elements are not preserved and elements will not appended as normal. Instead the vector is in the same state as that after an equivalent sizing constructor.</td>
<td><code>v.size () == n</code>.</td>
</tr>
<tr>
<td>Storage</td>
<td><code>v.data()</code></td>
<td><code>v</code> is const</td>
<td>Returns a reference to the underlying storage</td>
<td></td>
</tr>
<tr>
<td>Storage</td>
<td><code>v.data()</code></td>
<td><code>v</code> is mutable</td>
<td>Returns a reference to the underlying storage</td>
<td></td>
</tr>
</table>
<h4>Complexity guarantees</h4>
<p>The run-time complexity of the sizing constructor is linear in
the vector's size.</p>
<p>The run-time complexity of insert_element and erase_element is specific for the
vector.</p>
<p>The run-time complexity of resize is linear in the vector's
size.</p>
<h4>Invariants</h4>
<h4>Models</h4>
<ul>
<li><code>vector&lt;T&gt;</code> , <code>bounded_vector&lt;T, N&gt;</code></li>
<li><code>unit_vector&lt;T&gt;</code> , <code>zero_vector&lt;T&gt;</code> , <code>scalar_vector&lt;T&gt;</code></li>
<li><code>mapped_vector&lt;T&gt;</code> , <code>compressed_vector</code> , <code>coordinate_vector</code></li>
</ul>
<h4>Notes</h4>
<p><a name="footnote1">[1]</a>
As a user you should not care about <tt>DenseVector</tt> being a refinement of the VectorExpression. Being a refinement of the VectorExpression is only important for the template-expression engine but not the user.
<a name="element_access_note">[1]</a>The <code>operator[]</code> is added purely for convenience
and compatibility with the <code>std::vector</code>. In uBLAS however,
generally <code>operator()</code> is used for indexing because this can be
used for both vectors and matrices.
</body>
</html>

View File

@@ -86,7 +86,7 @@ Access Column/Row Iterator</a></li>
</li>
<li><a href="vector_sparse.htm">Sparse Vector</a>
<ul>
<li><a href="vector_sparse.htm#sparse_vector">Sparse
<li><a href="vector_sparse.htm#mapped_vector">Sparse
Vector</a></li>
<li><a href="vector_sparse.htm#compressed_vector">Compressed
Vector</a></li>
@@ -152,7 +152,7 @@ Adaptor</a></li>
</li>
<li><a href="matrix_sparse.htm">Sparse Matrix</a>
<ul>
<li><a href="matrix_sparse.htm#sparse_matrix">Sparse
<li><a href="matrix_sparse.htm#mapped_matrix">Sparse
Matrix</a></li>
<li><a href="matrix_sparse.htm#compressed_matrix">Compressed
Matrix</a></li>

View File

@@ -11,14 +11,12 @@
</head>
<body>
<h1><img src="c++boost.gif" alt="c++boost.gif" align="middle" />
Sparse Matrix</h1>
<h2><a name="sparse_matrix" id="sparse_matrix"></a> Sparse
Matrix</h2>
Sparse Matricies</h1>
<h2><a name="mapped_matrix" id="mapped_matrix"></a>Mapped Matrix</h2>
<h4>Description</h4>
<!---->
<p>The templated class <code>sparse_matrix&lt;T, F, A&gt;</code> is
the base container adaptor for sparse matrices. For a <em>(m x
n</em>)-dimensional sparse matrix and <em>0 &lt;= i &lt; m</em>,
<p>The templated class <code>mapped_matrix&lt;T, F, A&gt;</code> is
the base container adaptor for sparse matricies using element maps.
For a <em>(m xn</em>)-dimensional sparse matrix and <em>0 &lt;= i &lt; m</em>,
<em>0 &lt;= j &lt; n</em> the non-zero elements
<em>m</em><sub><em>i, j</em></sub> are mapped via <em>(i x n +
j)</em> for row major orientation or via <em>(i + j x m)</em> for
@@ -46,7 +44,7 @@ orientation.</p>
int main () {
using namespace boost::numeric::ublas;
sparse_matrix&lt;double&gt; m (3, 3, 3 * 3);
mapped_matrix&lt;double&gt; m (3, 3, 3 * 3);
for (unsigned i = 0; i &lt; m.size1 (); ++ i)
for (unsigned j = 0; j &lt; m.size2 (); ++ j)
m (i, j) = 3 * i + j;
@@ -65,19 +63,19 @@ int main () {
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the sparse matrix.</td>
<td>The type of object stored in the mapped matrix.</td>
<td></td>
</tr>
<tr>
<td><code>F</code></td>
<td>Functor describing the storage organization. <a href=
"#sparse_matrix_1">[1]</a></td>
"#mapped_matrix_1">[1]</a></td>
<td><code>row_major</code></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a href=
"#sparse_matrix_2">[2]</a></td>
"#mapped_matrix_2">[2]</a></td>
<td><code>map_std&lt;std::size_t, T&gt;</code></td>
</tr>
</tbody>
@@ -88,7 +86,7 @@ int main () {
<p>None, except for those imposed by the requirements of <a href=
"container.htm#matrix">Matrix</a> .</p>
<h4>Public base classes</h4>
<p><code>matrix_expression&lt;sparse_matrix&lt;T, F, A&gt;
<p><code>matrix_expression&lt;mapped_matrix&lt;T, F, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
@@ -98,30 +96,30 @@ int main () {
<th>Description</th>
</tr>
<tr>
<td><code>sparse_matrix ()</code></td>
<td>Allocates a <code>sparse_matrix</code> that holds at most zero
<td><code>mapped_matrix ()</code></td>
<td>Allocates a <code>mapped_matrix</code> that holds at most zero
rows of zero elements.</td>
</tr>
<tr>
<td><code>sparse_matrix (size_type size1, size_type2, size_type non_zeros = 0)</code></td>
<td>Allocates a <code>sparse_matrix</code> that holds at most
<td><code>mapped_matrix (size_type size1, size_type2, size_type non_zeros = 0)</code></td>
<td>Allocates a <code>mapped_matrix</code> that holds at most
<code>size1</code> rows of <code>size2</code> elements.</td>
</tr>
<tr>
<td><code>sparse_matrix (const sparse_matrix &amp;m)</code></td>
<td><code>mapped_matrix (const mapped_matrix &amp;m)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_matrix (size_type non_zeros, const
mapped_matrix (size_type non_zeros, const
matrix_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size1, size_type size2, bool preserve = true)</code></td>
<td>Reallocates a <code>sparse_matrix</code> to hold at most
<td>Reallocates a <code>mapped_matrix</code> to hold at most
<code>size1</code> rows of <code>size2</code> elements. The
existing elements of the <code>sparse_matrix</code> are preseved
existing elements of the <code>mapped_matrix</code> are preseved
when specified.</td>
</tr>
<tr>
@@ -145,72 +143,72 @@ j)</code></td>
<code>i</code>-th row.</td>
</tr>
<tr>
<td><code>sparse_matrix &amp;operator = (const sparse_matrix
<td><code>mapped_matrix &amp;operator = (const mapped_matrix
&amp;m)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>sparse_matrix &amp;assign_temporary (sparse_matrix
<td><code>mapped_matrix &amp;assign_temporary (mapped_matrix
&amp;m)</code></td>
<td>Assigns a temporary. May change the sparse matrix
<td>Assigns a temporary. May change the mapped matrix
<code>m</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_matrix &amp;operator = (const matrix_expression&lt;AE&gt;
mapped_matrix &amp;operator = (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_matrix &amp;assign (const matrix_expression&lt;AE&gt;
mapped_matrix &amp;assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a matrix expression to the sparse matrix. Left and
<td>Assigns a matrix expression to the mapped matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_matrix &amp;operator += (const matrix_expression&lt;AE&gt;
mapped_matrix &amp;operator += (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the matrix expression to
the sparse matrix.</td>
the mapped matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_matrix &amp;plus_assign (const matrix_expression&lt;AE&gt;
mapped_matrix &amp;plus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a matrix expression to the sparse matrix. Left and right
<td>Adds a matrix expression to the mapped matrix. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_matrix &amp;operator -= (const matrix_expression&lt;AE&gt;
mapped_matrix &amp;operator -= (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the matrix expression
from the sparse matrix.</td>
from the mapped matrix.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_matrix &amp;minus_assign (const matrix_expression&lt;AE&gt;
mapped_matrix &amp;minus_assign (const matrix_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a matrix expression from the sparse matrix. Left and
<td>Subtracts a matrix expression from the mapped matrix. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
sparse_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the sparse matrix
mapped_matrix &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the mapped matrix
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
sparse_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the sparse matrix
mapped_matrix &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the mapped matrix
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (sparse_matrix &amp;m)</code></td>
<td>Swaps the contents of the sparse matrices.</td>
<td><code>void swap (mapped_matrix &amp;m)</code></td>
<td>Swaps the contents of the mapped matrices.</td>
</tr>
<tr>
<td><code>true_refrence insert_element (size_type i, size_type j, const_reference
@@ -225,95 +223,95 @@ element of the <code>i</code>-th row. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the sparse matrix.</td>
<td>Clears the mapped matrix.</td>
</tr>
<tr>
<td><code>const_iterator1 begin1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the
beginning of the <code>sparse_matrix</code>.</td>
beginning of the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator1 end1 () const</code></td>
<td>Returns a <code>const_iterator1</code> pointing to the end of
the <code>sparse_matrix</code>.</td>
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 begin1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the beginning of
the <code>sparse_matrix</code>.</td>
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator1 end1 ()</code></td>
<td>Returns a <code>iterator1</code> pointing to the end of the
<code>sparse_matrix</code>.</td>
<code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 begin2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the
beginning of the <code>sparse_matrix</code>.</td>
beginning of the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_iterator2 end2 () const</code></td>
<td>Returns a <code>const_iterator2</code> pointing to the end of
the <code>sparse_matrix</code>.</td>
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 begin2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the beginning of
the <code>sparse_matrix</code>.</td>
the <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>iterator2 end2 ()</code></td>
<td>Returns a <code>iterator2</code> pointing to the end of the
<code>sparse_matrix</code>.</td>
<code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rbegin1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
beginning of the reversed <code>sparse_matrix</code>.</td>
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator1 rend1 () const</code></td>
<td>Returns a <code>const_reverse_iterator1</code> pointing to the
end of the reversed <code>sparse_matrix</code>.</td>
end of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rbegin1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the
beginning of the reversed <code>sparse_matrix</code>.</td>
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator1 rend1 ()</code></td>
<td>Returns a <code>reverse_iterator1</code> pointing to the end of
the reversed <code>sparse_matrix</code>.</td>
the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rbegin2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
beginning of the reversed <code>sparse_matrix</code>.</td>
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator2 rend2 () const</code></td>
<td>Returns a <code>const_reverse_iterator2</code> pointing to the
end of the reversed <code>sparse_matrix</code>.</td>
end of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rbegin2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the
beginning of the reversed <code>sparse_matrix</code>.</td>
beginning of the reversed <code>mapped_matrix</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator2 rend2 ()</code></td>
<td>Returns a <code>reverse_iterator2</code> pointing to the end of
the reversed <code>sparse_matrix</code>.</td>
the reversed <code>mapped_matrix</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="sparse_matrix_1" id="sparse_matrix_1">[1]</a> Supported
<p><a name="mapped_matrix_1" id="mapped_matrix_1">[1]</a> Supported
parameters for the storage organization are <code>row_major</code>
and <code>column_major</code>.</p>
<p><a name="sparse_matrix_2" id="sparse_matrix_2">[1]</a> Supported
<p><a name="mapped_matrix_2" id="mapped_matrix_2">[2]</a> Supported
parameters for the adapted array are
<code>map_array&lt;std::size_t, T&gt;</code> and
<code>map_std&lt;std::size_t, T&gt;</code>. The latter is

View File

@@ -93,7 +93,7 @@ vector is zero other then a single specified element.
<br/><code>index</code> should be less than <code>size</code>.</td>
</tr>
<tr>
<td><code>sparse_vector&lt;T [, S]&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td><code>mapped_vector&lt;T [, S]&gt;<br />&nbsp;&nbsp; v(size);</code></td>
<td>a sparse vector of values of type <code>T</code> of variable
size. The sparse storage type <code>S</code> can be <code>std::map&lt;size_t,
T&gt;</code> or <code>map_array&lt;size_t, T&gt;</code>.</td>
@@ -242,7 +242,7 @@ variable size. Only the given triangular matrix is stored using
the order <code>F</code>.</td>
</tr>
<tr>
<td><code>sparse_matrix&lt;T, [F, S]&gt;<br />&nbsp;&nbsp; m(size1, size2 [,
<td><code>mapped_matrix&lt;T, [F, S]&gt;<br />&nbsp;&nbsp; m(size1, size2 [,
non_zeros]);</code></td>
<td>a sparse matrix of values of type <code>T</code> of variable
size. The sparse storage type <code>S</code> can be either <code>std::map&lt;size_t,
@@ -369,14 +369,14 @@ array.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>sparse_vector&lt;T,<br />
<td><code>mapped_vector&lt;T,<br />
&nbsp;std::map&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;v (size, non_zeros)</code></td>
<td>a sparse vector, storage is provided by a standard
map.</td>
</tr>
<tr>
<td><code>sparse_vector&lt;T,<br />
<td><code>mapped_vector&lt;T,<br />
&nbsp;map_array&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;v (size, non_zeros)</code></td>
<td>a sparse vector, storage is provided by a map
@@ -494,7 +494,7 @@ major.<br />
The storage layout usually is BLAS compliant.</td>
</tr>
<tr>
<td><code>sparse_matrix&lt;T,<br />
<td><code>mapped_matrix&lt;T,<br />
&nbsp;row_major,<br />
&nbsp;std::map&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
@@ -502,7 +502,7 @@ The storage layout usually is BLAS compliant.</td>
is provided by a standard map.</td>
</tr>
<tr>
<td><code>sparse_matrix&lt;T,<br />
<td><code>mapped_matrix&lt;T,<br />
&nbsp;column_major,<br />
&nbsp;std::map&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
@@ -510,7 +510,7 @@ is provided by a standard map.</td>
storage is provided by a standard map.</td>
</tr>
<tr>
<td><code>sparse_matrix&lt;T,<br />
<td><code>mapped_matrix&lt;T,<br />
&nbsp;row_major,<br />
&nbsp;map_array&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>
@@ -518,7 +518,7 @@ storage is provided by a standard map.</td>
is provided by a map array.</td>
</tr>
<tr>
<td><code>sparse_matrix&lt;T,<br />
<td><code>mapped_matrix&lt;T,<br />
&nbsp;column_major,<br />
&nbsp;map_array&lt;std::size_t, T&gt; &gt;<br />
&nbsp;&nbsp;m (size1, size2, non_zeros)</code></td>

View File

@@ -12,12 +12,10 @@
<body>
<h1><img src="c++boost.gif" alt="c++boost.gif" align="middle" />
Sparse Vector</h1>
<h2><a name="sparse_vector" id="sparse_vector"></a> Sparse
Vector</h2>
<h2><a name="mapped_vector" id="mapped_vector"></a>Mapped Vector</h2>
<h4>Description</h4>
<!---->
<p>The templated class <code>sparse_vector&lt;T, A&gt;</code> is
the base container adaptor for sparse vectors. For a
<p>The templated class <code>mapped_vector&lt;T, A&gt;</code> is
the base container adaptor for sparse vectors using element maps. For a
<em>n</em>-dimensional sparse vector and <em>0 &lt;= i &lt; n</em>
the non-zero elements <em>v</em><sub><em>i</em></sub> are mapped to
consecutive elements of the associative container, i.e. for
@@ -34,7 +32,7 @@ i</em><sub><em>2</em></sub>.</p>
int main () {
using namespace boost::numeric::ublas;
sparse_vector&lt;double&gt; v (3, 3);
mapped_vector&lt;double&gt; v (3, 3);
for (unsigned i = 0; i &lt; v.size (); ++ i)
v (i) = i;
std::cout &lt;&lt; v &lt;&lt; std::endl;
@@ -52,13 +50,13 @@ int main () {
</tr>
<tr>
<td><code>T</code></td>
<td>The type of object stored in the sparse vector.</td>
<td>The type of object stored in the mapped vector.</td>
<td></td>
</tr>
<tr>
<td><code>A</code></td>
<td>The type of the adapted array. <a href=
"#sparse_vector_1">[1]</a></td>
"#mapped_vector_1">[1]</a></td>
<td><code>map_std&lt;std::size_t, T&gt;</code></td>
</tr>
</tbody>
@@ -69,7 +67,7 @@ int main () {
<p>None, except for those imposed by the requirements of <a href=
"container.htm#vector">Vector</a> .</p>
<h4>Public base classes</h4>
<p><code>vector_expression&lt;sparse_vector&lt;T, A&gt;
<p><code>vector_expression&lt;mapped_vector&lt;T, A&gt;
&gt;</code></p>
<h4>Members</h4>
<table border="1" summary="members">
@@ -79,36 +77,36 @@ int main () {
<th>Description</th>
</tr>
<tr>
<td><code>sparse_vector ()</code></td>
<td>Allocates a <code>sparse_vector</code> that holds zero
<td><code>mapped_vector ()</code></td>
<td>Allocates a <code>mapped_vector</code> that holds zero
elements.</td>
</tr>
<tr>
<td><code>sparse_vector (size_type size, size_type
<td><code>mapped_vector (size_type size, size_type
non_zeros = 0)</code></td>
<td>Allocates a <code>sparse_vector</code> that holds at most
<td>Allocates a <code>mapped_vector</code> that holds at most
<code>size</code> elements.</td>
</tr>
<tr>
<td><code>sparse_vector (const sparse_vector &amp;v)</code></td>
<td><code>mapped_vector (const mapped_vector &amp;v)</code></td>
<td>The copy constructor.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_vector (size_type non_zeros, const
mapped_vector (size_type non_zeros, const
vector_expression&lt;AE&gt; &amp;ae)</code></td>
<td>The extended copy constructor.</td>
</tr>
<tr>
<td><code>void resize (size_type size, bool
preserve = true)</code></td>
<td>Reallocates a <code>sparse_vector</code> to hold at most
<td>Reallocates a <code>mapped_vector</code> to hold at most
<code>size</code> elements. The existing elements of the
<code>sparse_vector</code> are preseved when specified.</td>
<code>mapped_vector</code> are preseved when specified.</td>
</tr>
<tr>
<td><code>size_type size () const</code></td>
<td>Returns the size of the <code>sparse_vector</code>.</td>
<td>Returns the size of the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_reference operator () (size_type i)
@@ -129,72 +127,72 @@ const</code></td>
<td>Returns a reference of the <code>i</code>-th element.</td>
</tr>
<tr>
<td><code>sparse_vector &amp;operator = (const sparse_vector
<td><code>mapped_vector &amp;operator = (const mapped_vector
&amp;v)</code></td>
<td>The assignment operator.</td>
</tr>
<tr>
<td><code>sparse_vector &amp;assign_temporary (sparse_vector
<td><code>mapped_vector &amp;assign_temporary (mapped_vector
&amp;v)</code></td>
<td>Assigns a temporary. May change the sparse vector
<td>Assigns a temporary. May change the mapped vector
<code>v</code> .</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_vector &amp;operator = (const vector_expression&lt;AE&gt;
mapped_vector &amp;operator = (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>The extended assignment operator.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_vector &amp;assign (const vector_expression&lt;AE&gt;
mapped_vector &amp;assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Assigns a vector expression to the sparse vector. Left and
<td>Assigns a vector expression to the mapped vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_vector &amp;operator += (const vector_expression&lt;AE&gt;
mapped_vector &amp;operator += (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Adds the vector expression to
the sparse vector.</td>
the mapped vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_vector &amp;plus_assign (const vector_expression&lt;AE&gt;
mapped_vector &amp;plus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Adds a vector expression to the sparse vector. Left and right
<td>Adds a vector expression to the mapped vector. Left and right
hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_vector &amp;operator -= (const vector_expression&lt;AE&gt;
mapped_vector &amp;operator -= (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>A computed assignment operator. Subtracts the vector expression
from the sparse vector.</td>
from the mapped vector.</td>
</tr>
<tr>
<td><code>template&lt;class AE&gt;<br />
sparse_vector &amp;minus_assign (const vector_expression&lt;AE&gt;
mapped_vector &amp;minus_assign (const vector_expression&lt;AE&gt;
&amp;ae)</code></td>
<td>Subtracts a vector expression from the sparse vector. Left and
<td>Subtracts a vector expression from the mapped vector. Left and
right hand side of the assignment should be independent.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
sparse_vector &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the sparse vector
mapped_vector &amp;operator *= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Multiplies the mapped vector
with a scalar.</td>
</tr>
<tr>
<td><code>template&lt;class AT&gt;<br />
sparse_vector &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the sparse vector
mapped_vector &amp;operator /= (const AT &amp;at)</code></td>
<td>A computed assignment operator. Divides the mapped vector
through a scalar.</td>
</tr>
<tr>
<td><code>void swap (sparse_vector &amp;v)</code></td>
<td>Swaps the contents of the sparse vectors.</td>
<td><code>void swap (mapped_vector &amp;v)</code></td>
<td>Swaps the contents of the mapped vectors.</td>
</tr>
<tr>
<td><code>true_reference insert_element (size_type i, const_reference t)</code></td>
@@ -207,52 +205,52 @@ element. Duplicates elements are not allowed.</td>
</tr>
<tr>
<td><code>void clear ()</code></td>
<td>Clears the sparse vector.</td>
<td>Clears the mapped vector.</td>
</tr>
<tr>
<td><code>const_iterator begin () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the beginning
of the <code>sparse_vector</code>.</td>
of the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_iterator end () const</code></td>
<td>Returns a <code>const_iterator</code> pointing to the end of
the <code>sparse_vector</code>.</td>
the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>iterator begin ()</code></td>
<td>Returns a <code>iterator</code> pointing to the beginning of
the <code>sparse_vector</code>.</td>
the <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>iterator end ()</code></td>
<td>Returns a <code>iterator</code> pointing to the end of the
<code>sparse_vector</code>.</td>
<code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rbegin () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
beginning of the reversed <code>sparse_vector</code>.</td>
beginning of the reversed <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>const_reverse_iterator rend () const</code></td>
<td>Returns a <code>const_reverse_iterator</code> pointing to the
end of the reversed <code>sparse_vector</code>.</td>
end of the reversed <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rbegin ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the
beginning of the reversed <code>sparse_vector</code>.</td>
beginning of the reversed <code>mapped_vector</code>.</td>
</tr>
<tr>
<td><code>reverse_iterator rend ()</code></td>
<td>Returns a <code>reverse_iterator</code> pointing to the end of
the reversed <code>sparse_vector</code>.</td>
the reversed <code>mapped_vector</code>.</td>
</tr>
</tbody>
</table>
<h4>Notes</h4>
<p><a name="sparse_vector_1" id="sparse_vector_1">[1]</a> Supported
<p><a name="mapped_vector_1" id="mapped_vector_1">[1]</a> Supported
parameters for the adapted array are
<code>map_array&lt;std::size_t, T&gt;</code> and
<code>map_std&lt;std::size_t, T&gt;</code>. The latter is