Suppose S is a set with t elements modulo n. There are indeed, 2^t subsets of any length. Illustrate a PARI/GP program which finds the smallest subset U (in terms of length) of distinct elements such that the sum of all elements in U is 0 modulo n. It is easy to write a program which searches via brute force, but brute force is infeasible as t and n get larger, so would appreciate help writing a program which doesn't use brute force to solve this instance of the subset sum problem.
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Dynamic Approach:
def isSubsetSum(st, n, sm) :
# The value of subset[i][j] will be
# true if there is a subset of
# set[0..j-1] with sum equal to i
subset=[[True] * (sm+1)] * (n+1)
# If sum is 0, then answer is true
for i in range(0, n+1) :
subset[i][0] = True
# If sum is not 0 and set is empty,
# then answer is false
for i in range(1, sm + 1) :
subset[0][i] = False
# Fill the subset table in botton
# up manner
for i in range(1, n+1) :
for j in range(1, sm+1) :
if(j < st[i-1]) :
subset[i][j] = subset[i-1][j]
if (j >= st[i-1]) :
subset[i][j] = subset[i-1][j] or subset[i - 1][j-st[i-1]]
"""uncomment this code to print table
for i in range(0,n+1) :
for j in range(0,sm+1) :
print(subset[i][j],end="")
print(" ")"""
return subset[n][sm];
0
I got this code from here I don't know weather it seems to work.
function getSummingItems(a,t){
return a.reduce((h,n) => Object.keys(h)
.reduceRight((m,k) => +k+n <= t ? (m[+k+n] = m[+k+n] ? m[+k+n].concat(m[k].map(sa => sa.concat(n)))
: m[k].map(sa => sa.concat(n)),m)
: m, h), {0:[[]]})[t];
}
var arr = Array(20).fill().map((_,i) => i+1), // [1,2,..,20]
tgt = 42,
res = [];
console.time("test");
res = getSummingItems(arr,tgt);
console.timeEnd("test");
console.log("found",res.length,"subsequences summing to",tgt);
console.log(JSON.stringify(res));

J. Linne
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