123456789怎样运算等于1? - abccsss 的回答假定每个数字只能出现一次。
回复内容:
Mathematica代码较简洁
Det/@N@Range@9~Permutations~{9}~ArrayReshape~{9!,3,3}//Max

以上用Matlab暴力破解(枚举

<span class="n">max_det</span> <span class="p">=</span> <span class="mi">0</span><span class="p">;</span>
<span class="n">init_perm</span> <span class="p">=</span> <span class="nb">reshape</span><span class="p">(</span><span class="mi">1</span><span class="p">:</span><span class="mi">9</span><span class="p">,</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">]);</span>
<span class="n">all_perms</span> <span class="p">=</span> <span class="nb">perms</span><span class="p">(</span><span class="mi">1</span><span class="p">:</span><span class="mi">9</span><span class="p">);</span>
<span class="k">for</span> <span class="nb">i</span> <span class="p">=</span> <span class="mi">1</span><span class="p">:</span><span class="nb">size</span><span class="p">(</span><span class="n">all_perms</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">matrix</span> <span class="p">=</span> <span class="n">all_perms</span><span class="p">(</span><span class="nb">i</span><span class="p">,</span> <span class="p">:);</span>
<span class="n">matrix</span> <span class="p">=</span> <span class="nb">reshape</span><span class="p">(</span><span class="n">matrix</span><span class="p">,</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">]);</span>
<span class="n">det_value</span> <span class="p">=</span> <span class="n">det</span><span class="p">(</span><span class="n">matrix</span><span class="p">);</span>
<span class="k">if</span> <span class="n">det_value</span> <span class="o">></span> <span class="n">max_det</span>
<span class="n">max_det</span> <span class="p">=</span> <span class="n">det_value</span><span class="p">;</span>
<span class="n">init_perm</span> <span class="p">=</span> <span class="n">matrix</span><span class="p">;</span>
<span class="k">end</span>
<span class="k">end</span>

matrix = Partition[#, 3] & /@ list;
answer = Det /@ matrix;
m = Max[answer];
pos = Flatten[Position[answer, m]];
matrix[[#]] & /@ pos 贴个毫无技术含量暴力程度max的python版。。。
import itertools
import time
def max_matrix():
begin = time.time()
elements = [1, 2, 3, 4, 5, 6, 7, 8, 9]
maxdet = 0
maxmat = []
for i in itertools.permutations(elements, 9):
det = i[0] * i[4] * i[8] + i[1] * i[5] * i[6] + i[2] * i[3] * i[7] - i[2] * i[4] * i[6] - i[1] * i[3] * i[8] - i[0] * i[5] * i[7]
if(det > maxdet):
maxdet = det
maxmat = []
for j in range(0, 9):
maxmat.append(i[j])
print "|" + str(maxmat[0]) + " " + str(maxmat[1]) + " " + str(maxmat[2]) + "|"
print "|" + str(maxmat[3]) + " " + str(maxmat[4]) + " " + str(maxmat[5]) + "| = " + str(maxdet)
print "|" + str(maxmat[6]) + " " + str(maxmat[7]) + " " + str(maxmat[8]) + "|"
end = time.time()
print str(end - begin) + 's used.'
if __name__ == '__main__':
max_matrix()
题目应该改成1 2 3 ...n^2组成n阶行列式的最大值。并求最优解的时间复杂度才有意思。
C++:<span class="cp">#include <cstdio></span>
<span class="cp">#include <algorithm></span>
<span class="k">using</span> <span class="k">namespace</span> <span class="n">std</span><span class="p">;</span>
<span class="kt">int</span> <span class="n">ans</span><span class="p">,</span> <span class="n">a</span><span class="p">[]</span> <span class="o">=</span> <span class="p">{</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">};</span>
<span class="kt">int</span> <span class="nf">main</span><span class="p">()</span> <span class="p">{</span>
<span class="k">do</span>
<span class="n">ans</span> <span class="o">=</span> <span class="n">max</span><span class="p">(</span><span class="n">ans</span><span class="p">,</span> <span class="n">a</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">a</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">8</span><span class="p">]</span> <span class="o">-</span> <span class="n">a</span><span class="p">[</span><span class="mi">5</span><span class="p">]</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">7</span><span class="p">])</span> <span class="o">+</span>
<span class="n">a</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">a</span><span class="p">[</span><span class="mi">5</span><span class="p">]</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">6</span><span class="p">]</span> <span class="o">-</span> <span class="n">a</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">8</span><span class="p">])</span> <span class="o">+</span>
<span class="n">a</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">a</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">7</span><span class="p">]</span> <span class="o">-</span> <span class="n">a</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">6</span><span class="p">]));</span>
<span class="k">while</span> <span class="p">(</span><span class="n">next_permutation</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">a</span> <span class="o">+</span> <span class="mi">9</span><span class="p">));</span>
<span class="n">printf</span><span class="p">(</span><span class="s">"%d</span><span class="se">\n</span><span class="s">"</span><span class="p">,</span> <span class="n">ans</span><span class="p">);</span>
<span class="p">}</span>
把yellow的答案重排一下可得9 4 2
3 8 6
5 1 7
很容易看出思路了。
1.所有数按大小在斜率为-1的对角线上依次排开。(即:987在一条对角线,654在一条,321在一条)很容易看出这是让正向数值最大的方法。
2.对于反向的对角线,排除主对角线之外的任意两个数之和相等,且乘积越大的,相应的主对角线元素越小。(也就是让三个乘积的最大值最小,然后最大的结果再和最小的数相配这样)
但是以上方法仅限于1~9的3x3矩阵,对于其它的矩阵不一定适用。
因为显然这种方法要求正向和负向都只有对角线(或平行于对角线),但是4x4的行列式就开始有拐弯了。。。
然后,我感觉还有三个漏洞,一是贪心法不一定保证正向最大,也不一定保证反向最小,更不一定保证正反向之差最大。(不一定都是漏洞,可能有的是恒成立的)
但是我感觉对3x3的非负矩阵来说,贪心在多数情况下是可以拿到最大值的。
PS:试了很多组数,都是这个解,然后又试了一组[1 2 3 4 5 6 7 8 100],显然答案发生了变化,因为100的权值比8和7大太多,所以负向的时候直接就把2和1给了100。那么这也就证明了贪心法确实有时候得不到最大值。 前面已经有了python,c和MMA的代码了,我来一发matlab的吧
<span class="n">p</span><span class="p">=</span><span class="nb">perms</span><span class="p">(</span><span class="mi">1</span><span class="p">:</span><span class="mi">9</span><span class="p">);</span>
<span class="p">[</span><span class="n">n</span><span class="p">,</span><span class="o">~</span><span class="p">]=</span><span class="nb">size</span><span class="p">(</span><span class="n">p</span><span class="p">);</span>
<span class="n">z</span><span class="p">=</span><span class="nb">zeros</span><span class="p">(</span><span class="n">n</span><span class="p">,</span><span class="mi">1</span><span class="p">);</span>
<span class="k">for</span> <span class="nb">i</span><span class="p">=</span><span class="mi">1</span><span class="p">:</span><span class="n">n</span>
<span class="n">z</span><span class="p">(</span><span class="nb">i</span><span class="p">)=</span><span class="n">det</span><span class="p">(</span><span class="nb">reshape</span><span class="p">(</span><span class="n">p</span><span class="p">(</span><span class="nb">i</span><span class="p">,:),</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">));</span>
<span class="k">end</span>
<span class="n">max</span><span class="p">(</span><span class="n">z</span><span class="p">)</span>
<span class="n">id</span><span class="p">=</span><span class="nb">find</span><span class="p">(</span><span class="n">z</span><span class="o">==</span><span class="n">max</span><span class="p">(</span><span class="n">z</span><span class="p">));</span>
<span class="k">for</span> <span class="nb">i</span><span class="p">=</span><span class="mi">1</span><span class="p">:</span><span class="nb">length</span><span class="p">(</span><span class="n">id</span><span class="p">)</span>
<span class="nb">disp</span><span class="p">(</span><span class="nb">reshape</span><span class="p">(</span><span class="n">p</span><span class="p">(</span><span class="n">id</span><span class="p">(</span><span class="nb">i</span><span class="p">),:),</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">));</span>
<span class="k">end</span>
对于三阶的穷举,可以不用det函数会比较简单:<span class="n">p</span> <span class="p">=</span> <span class="nb">reshape</span><span class="p">(</span><span class="nb">perms</span><span class="p">(</span><span class="mi">1</span><span class="p">:</span><span class="mi">9</span><span class="p">),</span><span class="s">''</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">);</span>
<span class="n">M</span> <span class="p">=</span> <span class="n">max</span><span class="p">(</span><span class="n">sum</span><span class="p">(</span><span class="n">prod</span><span class="p">(</span><span class="n">p</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span><span class="mi">3</span><span class="p">)</span><span class="o">-</span><span class="n">sum</span><span class="p">(</span><span class="n">prod</span><span class="p">(</span><span class="n">p</span><span class="p">,</span><span class="mi">3</span><span class="p">),</span><span class="mi">2</span><span class="p">));</span>
话题的语言还少个Mathematica,就我来吧直接9!个结果存下来刚正面,0优化
Det[Partition[#, 3]] & /@ Permutations[Range[9]] // Max
412

要在有限的時間內最大化學習Python的效率,可以使用Python的datetime、time和schedule模塊。 1.datetime模塊用於記錄和規劃學習時間。 2.time模塊幫助設置學習和休息時間。 3.schedule模塊自動化安排每週學習任務。

Python在遊戲和GUI開發中表現出色。 1)遊戲開發使用Pygame,提供繪圖、音頻等功能,適合創建2D遊戲。 2)GUI開發可選擇Tkinter或PyQt,Tkinter簡單易用,PyQt功能豐富,適合專業開發。

Python适合数据科学、Web开发和自动化任务,而C 适用于系统编程、游戏开发和嵌入式系统。Python以简洁和强大的生态系统著称,C 则以高性能和底层控制能力闻名。

2小時內可以學會Python的基本編程概念和技能。 1.學習變量和數據類型,2.掌握控制流(條件語句和循環),3.理解函數的定義和使用,4.通過簡單示例和代碼片段快速上手Python編程。

Python在web開發、數據科學、機器學習、自動化和腳本編寫等領域有廣泛應用。 1)在web開發中,Django和Flask框架簡化了開發過程。 2)數據科學和機器學習領域,NumPy、Pandas、Scikit-learn和TensorFlow庫提供了強大支持。 3)自動化和腳本編寫方面,Python適用於自動化測試和系統管理等任務。

兩小時內可以學到Python的基礎知識。 1.學習變量和數據類型,2.掌握控制結構如if語句和循環,3.了解函數的定義和使用。這些將幫助你開始編寫簡單的Python程序。

如何在10小時內教計算機小白編程基礎?如果你只有10個小時來教計算機小白一些編程知識,你會選擇教些什麼�...

使用FiddlerEverywhere進行中間人讀取時如何避免被檢測到當你使用FiddlerEverywhere...


熱AI工具

Undresser.AI Undress
人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover
用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool
免費脫衣圖片

Clothoff.io
AI脫衣器

AI Hentai Generator
免費產生 AI 無盡。

熱門文章

熱工具

SublimeText3 Mac版
神級程式碼編輯軟體(SublimeText3)

Safe Exam Browser
Safe Exam Browser是一個安全的瀏覽器環境,安全地進行線上考試。該軟體將任何電腦變成一個安全的工作站。它控制對任何實用工具的訪問,並防止學生使用未經授權的資源。

MantisBT
Mantis是一個易於部署的基於Web的缺陷追蹤工具,用於幫助產品缺陷追蹤。它需要PHP、MySQL和一個Web伺服器。請查看我們的演示和託管服務。

SecLists
SecLists是最終安全測試人員的伙伴。它是一個包含各種類型清單的集合,這些清單在安全評估過程中經常使用,而且都在一個地方。 SecLists透過方便地提供安全測試人員可能需要的所有列表,幫助提高安全測試的效率和生產力。清單類型包括使用者名稱、密碼、URL、模糊測試有效載荷、敏感資料模式、Web shell等等。測試人員只需將此儲存庫拉到新的測試機上,他就可以存取所需的每種類型的清單。

ZendStudio 13.5.1 Mac
強大的PHP整合開發環境