5w80 kj复印件和原件法律效力接法有要求吗

KJ法_百度文库
您的浏览器Javascript被禁用,需开启后体验完整功能,
享专业文档下载特权
&赠共享文档下载特权
&10W篇文档免费专享
&每天抽奖多种福利
两大类热门资源免费畅读
续费一年阅读会员,立省24元!
阅读已结束,下载本文需要
想免费下载本文?
定制HR最喜欢的简历
下载文档到电脑,同时保存到云知识,更方便管理
加入VIP
还剩6页未读,
定制HR最喜欢的简历
你可能喜欢什么的没留下。。。
&*& 贪心算法并不是从整体最优上加以考虑, 而是从局部最优考虑, 每次总是做出当前看起来最好的选择,在某种意义上的局部最优选择;
&*& 最优子结构性质 :
&*&贪心选择性质:
1、& 活动安排 :
问题描述 :设有n个活动集合E = {1 ,2,…,n} ,其中每个活动i都要求使用同一资源, 而在同一时间内只有一个活动能使用这一资源。每个活动i都有一个要求使用该资源的起始时间Si和一个结束时间fi , 且Si & fi 。如果选择活动i ,则它在半开区间[Si , fi]内占用资源。若区间[Si,fi)与区间不相交,则称活动i和活动j是相容的, 也就是说Si &=
fj || Sj &= fi 为真时 ,活动i和活动j是相容的。
要求:要在所给的活动集中选出最大的相容子集合;
&pre name=&code& class=&html&&code&&
#include&vector&
#include&algorithm&
#include&iostream&
class Activity
//活动开始时间
//活动结束时间
Activity()
cin &&this-&s && this-&f;
friend void Arrange();
bool operator&(Activity &A1)
if (this-&f & A1.f)
//活动集E:所给活动的集合
vector&class Activity& E;//竟然要加class
vector&bool& A;//相容标记集合
void Arrange()
sort(E.begin() + 1, E.end());//将活动按非减序列排列
int j = 0;
for (int i = 1; i & E.size(); i++)
if (E[i].s &= E[j].f)
for (int i = 0; i & A.size(); i++)
cout && E[i].id&&& &;
int main()
//活动数量
E.push_back(Activity());
E[0].s = 0;
E[0].f = 0;
for (int i = 1; i &= i++)
E.push_back(Activity());
E[i].id = E[i].s;
for (int i = 0; i &= i++)
A.push_back(false);
Arrange();
2、 背包问题:
给定n种物品和一个背包。物品i的重量是wi ,其价值为vi,背包的容量为c , 问应该如何选择把哪一个物品装入背包中,使得装入背包中的物品的总价值最大?
<span style="color:#-1背包问题:不能部分装入物品,
背包问题:可选择装入部分物品
#include&iostream&
#include&iomanip&
#include&vector&
#include&algorithm&
WP(float w, float p)
bool operator&(WP wp)
if (1.0*w/p & 1.0*wp.w/wp.p)
class Knapsack
vector&WP&
Knapsack()
cin && this-&n && this-&c;
wp.push_back(WP(0 , 0));
for (int i = 1; i &= i++)
int in1, in2;
cin&&in1&&in2;
wp.push_back(WP(in1, in2));
vector & float &
void GreedyKP()
x.push_back(0);
sort(ks.wp.begin() + 1, ks.wp.end());
int sum = 0;
for (int i = 1; i & ks.n; i++)
x.push_back(0);
for (i = 1; i &= ks.n; i++)
if (ks.wp[i].w & ks.c)
ks.c -= ks.wp[i].w;
if (i & ks.n + 1)
x.push_back(1.0*ks.c/ks.wp[i].w);
for (int i = 1; i & x.size(); i++)
cout && ks.wp[i].w && & : & &&setw(5)&&x[i] &&
int main()
GreedyKP();
3、& 最优装载 :
问题描述:有一批集装箱要装上载重量为c的轮船。其中集装箱i的重量为wi , 最优装载问题要求在装载体积不受限制的情况下,将尽可能多的集装箱装上船;
#include&iostream&
#include&iomanip&
#include&vector&
#include&algorithm&
//最优装载问题
class Loading
vector&float&
cin && this-&n && this-&c;
w.push_back(0);
for (int i = 1; i &= this-&n; i++)
float in1;
cin && in1;
this-&w.push_back(in1);
vector&int&
Loading L = Loading();
void Load()
sort(L.w.begin()+1, L.w.end());
for (int i = 0; i &= L.n; i++)
x.push_back(0);
for (int i = 1; i & L.n; i++)
if (L.w[i] &= L.c)
L.c -= L.w[i];
for (int i = 1; i &= L.n; i++)
if (x[i] == 1)
cout.precision(4);
cout && &weght : & && L.w[i] &&
int main()
4、& 哈弗曼编码 :
问题描述:
Huffman.cpp
#include&BinaryTree.h&
#include&iostream&
#include&vector&
#include&queue&
#include&algorithm&
typedef BinaryTree&float& HuffmanT
typedef BinaryNode&float& HuffmanN
float m_f;
FC(float f = 0 , char c = &#39; &#39;)
bool operator==(float f)
if (m_f == f)
class Huffman
fc.push_back(FC());
fc[0].m_f = 10000;
for (int i = 1; i &= i++)
float in1;
cin && in1;
cin && in2;
fc.push_back(FC(in1, in2));
//生成单结点树
for (int i = 0 ; i &= i++)
z.MakeTree(fc[i].m_f , HuffmanTree() , HuffmanTree());
HT.push_back(z);
//字符总数
vector&FC&//字符出现的频率表
vector&HuffmanTree& HT;
Huffman huff = Huffman();
vector&int&
//构建哈弗曼树
HuffmanTree MakeHuffmanTree()
//建优先级队列
priority_queue&HuffmanTree, vector&HuffmanTree&& Q;
for (int i = 0; i &= huff.n; i++)
Q.push(huff.HT[i]);
for (int i = 1; i & huff.n; i++)
HuffmanTree x, y ,z;
x = Q.top();
y = Q.top();
float w = x.m_root-&m_data + y.m_root-&m_
z.MakeTree(w , x , y);
Q.push(z);
return Q.top();
//生成编码
void Huffmancode(HuffmanNode* root)
if (root != NULL)
if (root-&m_pleft == NULL && root-&m_pright == NULL)
vector&FC&::iterator iter = find(huff.fc.begin() + 1, huff.fc.end(), root-&m_data) ;
cout && iter-&m_c &&&的编码 : &;
for (int i = 1; i & code.size(); i++)
cout && code[i];
if (root-&m_pleft != NULL)
code.push_back(0);
Huffmancode(root-&m_pleft);
if (root-&m_pright != NULL)
code.push_back(1);
Huffmancode(root-&m_pright);
code.pop_back();
void Interpret(vector&int& s , HuffmanNode* root)
HuffmanNode* p =
for (int i = 0; i & s.size(); i++)
if (NULL == p-&m_pleft && NULL == p-&m_pright)
vector&FC&::iterator iter = find(huff.fc.begin() + 1, huff.fc.end(), p-&m_data);
cout && iter-&m_c;
if (0 == s[i])
if (1 == s[i])
int main()
htree = MakeHuffmanTree();
code.push_back(-1);
Huffmancode(htree.m_root);
vector&int&
while ((in = getchar()) != &#39;#&#39;)
scode.push_back(in-48);
//前提Huffman树已建立
Interpret(scode , htree.m_root);
//上面用到的二叉树头文件BinaryTree.h
#include&iostream&
//定义结点类型
template&typename Type&
class BinaryT//预引用
template&typename Type&
class BinaryNode
BinaryNode() :m_pleft(NULL), m_pright(NULL) {};//无参构造函数
BinaryNode(Type item, BinaryNode&Type& *pleft = NULL, BinaryNode&Type& *pright = NULL) :m_data(item), m_pLeft(pleft), m_pright(pright) {};//含参构造函数
//friend class BinaryTree&Type&;
BinaryNode&Type& *m_pleft, *m_
//定义二叉树
template&typename Type&
class BinaryTree
BinaryTree() : m_root(NULL){ };
void MakeTree(Type item, BinaryTree&Type& LBTree, BinaryTree&Type& RBTree )
m_root = new BinaryNode&Type&();
m_root-&m_data
m_root-&m_pleft = LBTree.m_
m_root-&m_pright = RBTree.m_
bool operator&(BinaryTree&Type& BT1 , BinaryTree&Type& BT2)
if (BT1.m_root-&m_data & BT2.m_root-&m_data)
BinaryNode&Type& *m_
&span style=&color:#006600;&&};
5、 多机调度 :
#include&iostream&
#include&algorithm&
#include&vector&
cin && n &&
jt.push_back(0);
mt.push_back(0);
for (int i = 1; i &= i++)
cin && in1;
jt.push_back(in1);
for (int i = 1; i &= i++)
mt.push_back(0);
vector&int&
vector&int&
struct greater
bool operator()(int x , int y) const
return (x & y);
void greedyJOB()
sort(J.jt.begin() + 1, J.jt.end() , greater());
vector&int&::
for (i = 1; i &= J.n; i++)
if (i &= J.m)
J.mt[i] += J.jt[i];
iter = min_element(J.mt.begin() + 1, J.mt.end());
*iter += J.jt[i];
iter = max_element(J.mt.begin() + 1, J.mt.end());
cout && *iter &&
int main()
greedyJOB();
}&span style=&color:#009900;&&
&p&&strong&6、&#160; Kruskal算法:&/strong&&/p&&div style=&text-align:&&&img src=&data:image/base64,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

我要回帖

更多关于 法人代表证明书原件 的文章

 

随机推荐