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Diffstat (limited to 'libstdc++-v3/doc/html/manual/policy_data_structures.html')
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1 files changed, 6 insertions, 6 deletions
diff --git a/libstdc++-v3/doc/html/manual/policy_data_structures.html b/libstdc++-v3/doc/html/manual/policy_data_structures.html index f98fd4d6b26..6a5fa65527a 100644 --- a/libstdc++-v3/doc/html/manual/policy_data_structures.html +++ b/libstdc++-v3/doc/html/manual/policy_data_structures.html @@ -248,7 +248,7 @@ these invariants, one must supply some policy that is aware of these changes. Without this, it would be better to use a linked list (in itself very efficient for these purposes). - </p></li></ol></div><div class="figure"><a id="idp17613872"></a><p class="title"><strong>Figure 22.1. Node Invariants</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_node_invariants.png" align="middle" alt="Node Invariants" /></div></div></div><br class="figure-break" /></div><div class="section"><div class="titlepage"><div><div><h5 class="title"><a id="motivation.associative.underlying"></a>Underlying Data Structures</h5></div></div></div><p> + </p></li></ol></div><div class="figure"><a id="idp17613296"></a><p class="title"><strong>Figure 22.1. Node Invariants</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_node_invariants.png" align="middle" alt="Node Invariants" /></div></div></div><br class="figure-break" /></div><div class="section"><div class="titlepage"><div><div><h5 class="title"><a id="motivation.associative.underlying"></a>Underlying Data Structures</h5></div></div></div><p> The standard C++ library contains associative containers based on red-black trees and collision-chaining hash tables. These are very useful, but they are not ideal for all types of @@ -256,7 +256,7 @@ </p><p> The figure below shows the different underlying data structures currently supported in this library. - </p><div class="figure"><a id="idp17620592"></a><p class="title"><strong>Figure 22.2. Underlying Associative Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_different_underlying_dss_1.png" align="middle" alt="Underlying Associative Data Structures" /></div></div></div><br class="figure-break" /><p> + </p><div class="figure"><a id="idp17619952"></a><p class="title"><strong>Figure 22.2. Underlying Associative Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_different_underlying_dss_1.png" align="middle" alt="Underlying Associative Data Structures" /></div></div></div><br class="figure-break" /><p> A shows a collision-chaining hash-table, B shows a probing hash-table, C shows a red-black tree, D shows a splay tree, E shows a tree based on an ordered vector(implicit in the order of the @@ -375,7 +375,7 @@ no guarantee that the elements traversed will coincide with the <span class="emphasis"><em>logical</em></span> elements between 1 and 5, as in label B. - </p><div class="figure"><a id="idp17652288"></a><p class="title"><strong>Figure 22.3. Range Iteration in Different Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_point_iterators_range_ops_1.png" align="middle" alt="Node Invariants" /></div></div></div><br class="figure-break" /><p> + </p><div class="figure"><a id="idp17651648"></a><p class="title"><strong>Figure 22.3. Range Iteration in Different Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_point_iterators_range_ops_1.png" align="middle" alt="Node Invariants" /></div></div></div><br class="figure-break" /><p> In our opinion, this problem is not caused just because red-black trees are order preserving while collision-chaining hash tables are (generally) not - it @@ -426,7 +426,7 @@ list, as in the graphic below, label B. Here the iterators are as light as can be, but the hash-table's operations are more complicated. - </p><div class="figure"><a id="idp17667200"></a><p class="title"><strong>Figure 22.4. Point Iteration in Hash Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_point_iterators_range_ops_2.png" align="middle" alt="Point Iteration in Hash Data Structures" /></div></div></div><br class="figure-break" /><p> + </p><div class="figure"><a id="idp17666528"></a><p class="title"><strong>Figure 22.4. Point Iteration in Hash Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_point_iterators_range_ops_2.png" align="middle" alt="Point Iteration in Hash Data Structures" /></div></div></div><br class="figure-break" /><p> It should be noted that containers based on collision-chaining hash-tables are not the only ones with this type of behavior; many other self-organizing data structures display it as well. @@ -442,7 +442,7 @@ container. The graphic below shows three cases: A1 and A2 show a red-black tree; B1 and B2 show a probing hash-table; C1 and C2 show a collision-chaining hash table. - </p><div class="figure"><a id="idp17676464"></a><p class="title"><strong>Figure 22.5. Effect of erase in different underlying data structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_invalidation_guarantee_erase.png" align="middle" alt="Effect of erase in different underlying data structures" /></div></div></div><br class="figure-break" /><div class="orderedlist"><ol class="orderedlist" type="1"><li class="listitem"><p> + </p><div class="figure"><a id="idp17675840"></a><p class="title"><strong>Figure 22.5. Effect of erase in different underlying data structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_invalidation_guarantee_erase.png" align="middle" alt="Effect of erase in different underlying data structures" /></div></div></div><br class="figure-break" /><div class="orderedlist"><ol class="orderedlist" type="1"><li class="listitem"><p> Erasing 5 from A1 yields A2. Clearly, an iterator to 3 can be de-referenced and incremented. The sequence of iterators changed, but in a way that is well-defined by the interface. @@ -678,7 +678,7 @@ typically less structured than an associative container's tree; the third simply uses an associative container. These are shown in the figure below with labels A1 and A2, B, and C. - </p><div class="figure"><a id="idp17743920"></a><p class="title"><strong>Figure 22.6. Underlying Priority Queue Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_different_underlying_dss_2.png" align="middle" alt="Underlying Priority Queue Data Structures" /></div></div></div><br class="figure-break" /><p> + </p><div class="figure"><a id="idp17743424"></a><p class="title"><strong>Figure 22.6. Underlying Priority Queue Data Structures</strong></p><div class="figure-contents"><div class="mediaobject" align="center"><img src="../images/pbds_different_underlying_dss_2.png" align="middle" alt="Underlying Priority Queue Data Structures" /></div></div></div><br class="figure-break" /><p> No single implementation can completely replace any of the others. Some have better <code class="function">push</code> and <code class="function">pop</code> amortized performance, some have |