有没有资源可以找到解决动态编程问题的真实代码,如背包问题等等?
我想自己分析代码,因为我无法理解理论。我在Google中找不到任何代码。
非常感谢。
答案 0 :(得分:18)
这是使用PHP(source)解决的问题:
#########################################################
# 0-1 Knapsack Problem Solve with memoization optimize and index returns
# $w = weight of item
# $v = value of item
# $i = index
# $aW = Available Weight
# $m = Memo items array
# PHP Translation from Python, Memoization,
# and index return functionality added by Brian Berneker
#
#It works uncorrectly! For examle if $aw=4. Max value is true, but no "Array Indices" and its parameters are displayed
#
#########################################################
function knapSolveFast2($w,$v,$i,$aW,&$m) {
global $numcalls;
$numcalls ++;
// echo "Called with i=$i, aW=$aW<br>";
// Return memo if we have one
if (isset($m[$i][$aW])) {
return array( $m[$i][$aW], $m['picked'][$i][$aW] );
} else {
// At end of decision branch
if ($i == 0) {
if ($w[$i] <= $aW) { // Will this item fit?
$m[$i][$aW] = $v[$i]; // Memo this item
$m['picked'][$i][$aW] = array($i); // and the picked item
return array($v[$i],array($i)); // Return the value of this item and add it to the picked list
} else {
// Won't fit
$m[$i][$aW] = 0; // Memo zero
$m['picked'][$i][$aW] = array(); // and a blank array entry...
return array(0,array()); // Return nothing
}
}
// Not at end of decision branch..
// Get the result of the next branch (without this one)
list ($without_i,$without_PI) = knapSolveFast2($w, $v, $i-1, $aW,$m,$pickedItems);
if ($w[$i] > $aW) { // Does it return too many?
$m[$i][$aW] = $without_i; // Memo without including this one
$m['picked'][$i][$aW] = array(); // and a blank array entry...
return array($without_i,array()); // and return it
} else {
// Get the result of the next branch (WITH this one picked, so available weight is reduced)
list ($with_i,$with_PI) = knapSolveFast2($w, $v, ($i-1), ($aW - $w[$i]),$m,$pickedItems);
$with_i += $v[$i]; // ..and add the value of this one..
// Get the greater of WITH or WITHOUT
if ($with_i > $without_i) {
$res = $with_i;
$picked = $with_PI;
array_push($picked,$i);
} else {
$res = $without_i;
$picked = $without_PI;
}
$m[$i][$aW] = $res; // Store it in the memo
$m['picked'][$i][$aW] = $picked; // and store the picked item
return array ($res,$picked); // and then return it
}
}
}
$items4 = array("map","compass","water","sandwich","glucose","tin","banana","apple","cheese","beer","suntan cream","camera","t-shirt","trousers","umbrella","waterproof trousers","waterproof overclothes","note-case","sunglasses","towel","socks","book");
$w4 = array(9,13,153,50,15,68,27,39,23,52,11,32,24,48,73,42,43,22,7,18,4,30);
$v4 = array(150,35,200,160,60,45,60,40,30,10,70,30,15,10,40,70,75,80,20,12,50,10);
## Initialize
$numcalls = 0; $m = array(); $pickedItems = array();
## Solve
list ($m4,$pickedItems) = knapSolveFast2($w4, $v4, sizeof($v4) -1, 400,$m,$pickedItems);
# Display Result
echo "<b>Items:</b><br>".join(", ",$items4)."<br>";
echo "<b>Max Value Found:</b><br>$m4 (in $numcalls calls)<br>";
echo "<b>Array Indices:</b><br>".join(",",$pickedItems)."<br>";
echo "<b>Chosen Items:</b><br>";
echo "<table border cellspacing=0>";
echo "<tr><td>Item</td><td>Value</td><td>Weight</td></tr>";
foreach($pickedItems as $key) {
$totalVal += $v4[$key];
$totalWt += $w4[$key];
echo "<tr><td>".$items4[$key]."</td><td>".$v4[$key]."</td><td>".$w4[$key]."</td></tr>";
}
echo "<tr><td align=right><b>Totals</b></td><td>$totalVal</td><td>$totalWt</td></tr>";
echo "</table><hr>";
项目:地图,指南针,水,三明治,葡萄糖,锡,香蕉,苹果,奶酪,啤酒,防晒霜,相机,T恤,裤子,雨伞,防水裤,防水外套,便签,太阳镜,毛巾,袜子,书
找到最大值: 1030(在8725次通话中)
数组索引: 0,1,2,3,4,6,10,15,16,17,18,20
选择项目:
Item Value Weight
map 150 9
compass 35 13
water 200 153
sandwich 160 50
glucose 60 15
banana 60 27
suntan cream 70 11
waterproof trousers 70 42
waterproof overclothes 75 43
note-case 80 22
sunglasses 20 7
socks 50 4
Totals 1030 396