123456789组成的3×3的矩阵的行列式最大的值是多少?
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()
<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>
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>
<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>
直接9!个结果存下来刚正面,0优化
Det[Partition[#, 3]] & /@ Permutations[Range[9]] // Max 412

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

Regular expressions are powerful tools for pattern matching and text manipulation in programming, enhancing efficiency in text processing across various applications.

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

In Python, how to dynamically create an object through a string and call its methods? This is a common programming requirement, especially if it needs to be configured or run...
