Ask Your Question
0

How to find swich presses on lamp shutting problem?

asked 2019-03-21 22:13:15 +0200

mathhobbyist gravatar image

updated 2019-08-29 18:23:59 +0200

FrédéricC gravatar image

Is there a way to solve the following optimization problem in Sage given in https://www.ohjelmointiputka.net/post... :

The following is an example case.

I have $n=120$ lamps in a circle, and enumerated by $L_1,\ldots,L_{120}$. Some of them are switched on and some of them are switched off. I also have been given a positive integer $m=7.$ One every turn I choose one lamp $L_i$ and then the lamps $L_{i-m},\ldots,L_{i+m}$ will change their state, I mean if lamp $L_j$ was turned off then now it is turned on and vice versa. Indexes are modulo $n$ so the lamps $L_{118}, L_{119}, L_1,L_2$ are consecutive.

Which switches one must press, if the initial states of the lamps are (from $L_1$ to $L_{120}$)

 1010110110000100000101011001011111010111
 1010011101001100000010001010011010110000
 0000100110010100010010110111000000010110

where $1$ means that the corresponding lamp is on at the beginning and $0$ means that the corresponding lamp is off at the beginning.

All cases in this problem are given as

label,  n.o. lamps, how many lamps        original lamp states
                    a switch affects
                    per direction
================================================================================
B       6               1               101101
--------------------------------------------------------------------------------
C       10              2               1011010110
--------------------------------------------------------------------------------
D       20              1               11111011101010111111
--------------------------------------------------------------------------------
E       30              7               011100001010011011100001010011
--------------------------------------------------------------------------------
F       39              6               110100111111101000011000100110111100010
--------------------------------------------------------------------------------
G       53              9               0101100101111100100011100111101001001010
                                        0010000010110
--------------------------------------------------------------------------------
H       120             7               1010110110000100000101011001011111010111
                                        1010011101001100000010001010011010110000
                                        0000100110010100010010110111000000010110
--------------------------------------------------------------------------------
I       220             27              1110111111101000100110011001100110100000
                                        0010100011000111101100111111000001010000
                                        1010110110011100100010011011010111100011
                                        0101101000010000100110111101001001011010
                                        1101001001110110001100011010111101001100
                                        11010111110101010100
--------------------------------------------------------------------------------
J       500             87              1010001101101001110001101001000101010100
                                        0001111111001101011000000011001111111011
                                        1001110011010111111011010100010011011001
                                        1001101110011011100001000111110101011111
                                        1100111100001100110011101110101100001111
                                        1100010010011010001111000000101110101101
                                        1010100001100011111000111001000101101000
                                        1011111111101111000000011111010001000000
                                        1110011110111101010010011000000100010100
                                        0011101011010011010110011110111000010010
                                        0111100100011010010110001000011100101001
                                        1110111010001001011001111011111011010110
                                        10101101111011101110
--------------------------------------------------------------------------------
K       1002            83              0010100100100101000000110101111111101011
                                        1101000101111110001110000110110110010101
                                        1110110011011101100110111001110110010011
                                        1101111010110011110101100001101010100011
                                        1110001100011111110100011110100111111100
                                        0011001011100110101100001101000001110010
                                        0110100000100100100000011010000010111100
                                        1110001110011110101001100111101101010000
                                        0101010000011010011110101001001001000000
                                        0011000100011011011001111010001101111000
                                        0100001011010011001010111001111100110001
                                        0011111110101101001100111101110000000000
                                        1101100100000011000010010100010101001000
                                        1100001000101001100110010100001000001101
                                        1101000100001010011000101001101000100010
                                        0011010001011101010100011101001101101100
                                        0111110100110011001111000000001001001001
                                        1001111001011111000010110000110010101000
                                        1011001100111101000101000110000111010100
                                        0010011011010111001101011001111000001011
                                        1110101010101101111011111110100001100110
                                        1000101100110011010000110000011011110011
                                        0010000010000000111101101000001111101111
                                        0100111110010101100011101001111101010000
                                        1111100010011001110111111000101000000101
                                        01
--------------------------------------------------------------------------------
L       2107            108             0111110100011000011111101110010101100011
                                        1001111011101001001110111110001100011001
                                        1001010100101011101101001000010111111111
                                        1001101010111011110100100101000101100011
                                        1110100010010010101110100000111100101000
                                        0111101011111100010010110000100110100100
                                        0100110101110010110011110010101101100111
                                        1110010011000110110111010110010100101110
                                        0111111101110000111001111100100010010001
                                        1010110011000101100111111001011110101110
                                        0111010110111110110101000101100100011000
                                        1011000011011110001111100110100010100101
                                        1101111100110011001110010010001010101111
                                        1000001001000110011110010011011101110100
                                        1011111100110010011000010110010110101010
                                        0110101000011011110001010000010001000110
                                        1001110101001001110110111111010011010111
                                        1111011001000110111001000011101101110001
                                        0000011111101000010101011111011011000011
                                        1111000000011100010011011001011000110101
                                        1101011111100001100010110010110011000000
                                        0001001111100101110100100011011010011100
                                        0000001111010101000111011000110110100001
                                        1010110011100110111010111110110000010000
                                        1000101001111001000110000101010000010111
                                        1011100001000110001100010000001011101110
                                        1001111110100010010000011000100101010101
                                        1001001001110110101000001001001100001011
                                        0011011100011111100111001110101101110001
                                        0111010000010011110110011011000011101001
                                        1111011010010000101111000010000001100110
                                        1001011101001000010101001001011111111011
                                        1000111000100001101100101110100011111100
                                        1011001111101111110110101111101111011111
                                        1001111100110101110101111110010010101101
                                        1111111111000100100111100011101110110100
                                        0100011011001010110100101101000000110010
                                        0010010001001110110100011111100011111101
                                        0100110111101101010101010100110110011011
                                        0001111111000100000111011010101011000010
                                        0011011110110110110100011001101111001000
                                        1000000011110011100111100000001010010011
                                        1000011101111100000101010101010010100101
                                        1010001011010100011011001110110010100000
                                        1000111101111000010111111101010110110111
                                        0110001111100011001110000100100101001111
                                        0000111111100010011001010000010110111000
                                        1000110110001000001100110000001011000010
                                        1000101101110000101100100010101111100011
                                        1000010010111101000010000110011010000001
                                        0010001100001000001100110111110100100111
                                        1001100110001000100101011111001011001111
                                        110001011111001101010101001
================================================================================

I know there is a solution that compputes the minimum number of switch presses in https://ask.sagemath.org/question/393... . But the next task is to list those switches I need to press.

I tried

room = []
input = []
m = []
room.append('I')
input.append('1110111111101000100110011001100110100000001010001100011110110011111100000101000010101101100111001000100110110101111000110101101000010000100110111101001001011010110100100111011000110001101011110100110011010111110101010100')
m.append(27)
F = GF(2)
L_init = vector(F,input[0])
d = len(L_init)
M = matrix(F,d,d)
for i in range(d):
   for j in range(-m[0],m[0]+1 ):
       M[i,(i+j) % d] = 1
I = M.solve_right(L_init)
K = M.right_kernel()
best = None
for k in K:
    A = (I+k).nonzero_positions()
    B= []
    if len((I+k).nonzero_positions()) < best or best == None:
        S = room[0] + ' '
        best = len((I+k).nonzero_positions())
        for i in range(len(A)):
            S +=str(int(A[i])+1) + ' '
        print(S)
print("Optimal")

but this seems to be too slow. It has printed only

I 1 2 4 6 8 10 11 12 13 18 19 20 21 22 23 24 25 26 28 31 32 39 40 41 44 45 47 49 51 53 55 56 62 65 66 67 68 70 71 72 74 75 77 79 80 83 85 87 88 90 94 95 99 100 101 103 106 109 112 114 115 119 120 121 123 124 126 127 128 130 131 132 133 135 136 137 139 140 142 145 146 148 151 153 156 158 159 160 161 165 
I 1 2 4 6 8 11 12 13 18 19 20 21 22 23 24 25 26 28 31 32 39 40 41 44 45 47 49 51 53 56 62 66 67 68 70 71 72 74 75 77 79 80 83 85 87 88 90 94 95 99 100 101 103 106 109 110 112 114 115 119 121 123 124 126 127 128 130 131 132 133 135 136 137 139 140 142 145 146 148 151 153 156 158 159 160 161 175 220 
I 1 2 4 6 8 12 13 18 19 20 21 22 23 24 25 26 28 31 32 39 40 41 44 45 47 49 51 53 55 56 62 67 68 70 71 72 74 75 77 79 80 83 85 87 88 90 94 95 99 100 101 103 106 109 112 114 115 119 123 124 126 127 128 130 131 132 133 135 136 137 139 140 142 145 146 148 151 153 156 158 159 160 161 165 175 176 
I 1 2 4 6 8 12 18 19 20 21 22 23 24 25 26 28 31 32 39 40 41 44 45 47 49 51 53 56 62 67 70 71 72 74 75 77 79 80 83 85 87 88 90 94 95 99 100 101 103 106 109 110 112 114 115 119 124 126 127 128 130 131 132 133 135 136 137 139 140 142 145 146 148 151 153 156 158 159 160 161 175 176 178 220 
I 1 2 4 6 8 12 18 19 21 22 23 24 25 26 28 31 32 39 40 41 44 45 47 49 51 53 55 56 62 67 70 71 72 74 77 79 80 83 85 87 88 90 94 95 99 100 101 103 106 109 112 114 115 119 124 126 127 128 131 132 133 135 136 137 139 140 142 145 146 148 151 153 156 158 159 160 161 165 175 176 178 185 
I 1 2 4 6 8 12 18 19 21 23 24 25 26 28 31 32 39 40 41 44 45 47 49 51 53 56 62 67 70 71 72 74 79 80 83 85 87 88 90 94 95 99 100 101 103 106 109 110 112 114 115 119 124 126 127 128 131 133 135 136 137 139 140 142 145 146 148 151 153 156 158 159 160 161 175 176 178 185 187 220 
I 1 2 4 6 8 12 18 19 21 23 24 26 28 31 32 39 40 41 44 45 47 49 51 53 55 56 62 67 70 71 72 74 79 83 85 87 88 90 94 95 99 100 101 103 106 109 112 114 115 119 124 126 127 128 131 133 136 137 139 140 142 145 146 148 151 153 156 158 159 160 161 165 175 176 178 185 187 190

after couple of days computation. So how can I found the optimal solution faster?

edit retag flag offensive close merge delete
add a comment

1 Answer

Sort by » oldest newest most voted
0

answered 2019-03-22 02:04:49 +0200

dan_fulea gravatar image

The same code from the other post,

https://ask.sagemath.org/question/39335/...

was copied here again in the final P.S.

It delivers details on the computation done, and the solution. One only has to set correspondingly the optional parameters showBlocks and returnSolution in the final call

sol = searchLampSwitches( N, m, lamps
                          , showBlocks=True
                          , returnSolution=True )

(The way to get the solution was explained in detail in some small cases in loc. cit.. The title of that post is How to find a minimum number of switch presses to shut down all lamps? - there are two answers showing how to do this, including thoughts, algorithm, and code, however still after years there is no answer accepted. Anyway...)

In this case:

120 7 101011011000010000010101100101111101011110100111010011000000100010100110101100000000100110010100010010110111000000010110
N=120 M=15 d=gcd(N,M)=15 b=N/d=8 bound=4
Initial pattern: 543553565644234
Blocks:
001110111111011
011111011110100
110100111111011
110011101100110
100011110101001
110100011101001
101110110010000
000000000000000

Suboptimal places: [7, 9, 0, 3, 4, 6, 8]
New pattern: 543553525244234
Blocks:
001110101011011
011111001010100
110100101011011
110011111000110
100011100001001
110100001001001
101110100110000
000000010100000

New pattern: 343353525244234
Blocks:
101010101011011
111011001010100
010000101011011
010111111000110
000111100001001
010000001001001
001010100110000
100100010100000

New pattern: 343333325244234
Blocks:
101000001011011
111001101010100
010010001011011
010101011000110
000101000001001
010010101001001
001000000110000
100110110100000

Last exchange possible, place 8 can be moved (using place 1)
New pattern: 343333323244234
Blocks:
111000000011011
101001100010100
000010000011011
000101010000110
010101001001001
000010100001001
011000001110000
110110111100000

8 = 2^3 SOLUTIONS, obtained by interchanging even number of middle positions in [1, 10, 11, 14]
OPTIMAL NUMBER OF SWITCHES: 46
[1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0]

P.S. The solution was produced as follows:

F = GF(2)

N = 120
m = 7
lamps = ''.join( [ s for s in """
1010110110000100000101011001011111010111
1010011101001100000010001010011010110000
0000100110010100010010110111000000010110
""".split('\n') if s ] )


def getA( N, M, delay=0 ):
    R = range(N)
    lists_for_M = [ [ (j+k+delay) % N for k in range(M) ]
                    for j in R ]
    return matrix( F, N, N, [ [ F(1) if k in lists_for_M[j]    else F(0)
                                for k in R ]
                              for j in R ] ).transpose()

def showVector( vec, separator='' ):
    return separator.join( [ str( entry ) for entry in vec ] )

def exchange( wblocks, wpattern, b, k1, k2 ):
    blocks, pattern = wblocks[:], wpattern[:]    # copy the information

    for block in blocks:
        block[k1] = F(1) - block[k1]
        block[k2] = F(1) - block[k2]

    pattern[k1] = b - pattern[k1]
    pattern[k2] = b - pattern[k2]

    return blocks, pattern

def blocksInformation( blocks ):
    print "Blocks:"
    for block in blocks:
        print showVector( block )
    print

# main search for all cases...
def searchLampSwitches( N, m, lamps
                        , showBlocks=False
                        , returnSolution=False ):
    """N, m, lamps is an entry in CASES..."""
    print N, m, lamps

    M = 2*m+1
    d = gcd( N, M )
    R = range( d )           # we will often loop using R
    b = ZZ( N/d )            # number of blocks
    bound = (b/2).floor()    # critical bound for the entries in pattern

    print "N=%s M=%s d=gcd(N,M)=%s b=N/d=%s bound=%s" % ( N, M, d, b, bound )

    A = getA( N, M, delay=-m )
    v = matrix( F, N, 1, [ F(int(s)) for s in lamps if s in '01' ] )
    w = vector( A.solve_right( v ) )

    if d == 1:
        # then w is already the (unique, thus optimal) solution
        print "UNIQUE SOLUTION"
        print sum( [ 1 for entry in w if entry ] )
        print showVector( w )

        return w if returnSolution else None

    # else we build blocks
    wblocks = [ [ w[ j + d*k ] for j in R ]
               for k in range(N/d) ]

    wpattern = [ sum( [ 1 for wblock in wblocks if wblock[k] ] )
                 for k in R ]
    print "Initial pattern:",
    print showVector( wpattern, separator = '' if b<10 else ',' )

    if showBlocks:
        blocksInformation( wblocks )

    wplaces = [ k for k in R if wpattern[k] > bound ]    # suboptimal places in wpattern
    wplaces . sort( lambda k1, k2:    cmp( -wpattern[k1], -wpattern[k2] ) )
    print "Suboptimal places:", wplaces

    while len( wplaces ) > 1:
        k1, k2  = wplaces[:2]
        wplaces = wplaces[2:]
        wblocks, wpattern = exchange( wblocks, wpattern, b, k1, k2 )
        print "New pattern:",
        print showVector( wpattern, separator = '' if b<10 else ',' )
        if showBlocks:
            blocksInformation( wblocks )

    # we count solutions, last changes can be done - but the   in case...
    if wplaces:
        k, = wplaces
        # one last move is possible, if there are places with entries > then opposite of k'th place
        # examples:
        # b = 8 or 9, bound = 4, and
        # ---> wpattern is 00011122233349 - then exchange 49
        # ---> wpattern is 00011122233339 - then exchange 39
        # ---> wpattern is 00011122222225 - no good exchange, 5 becomes 3 or 4, but the 2 (best choice) becomes > 5 

        goodoppositeplaces = [ kk for kk in R if kk != k and wpattern[kk] > b - wpattern[k] ]
        if goodoppositeplaces:
            goodoppositeplaces.sort( lambda k1, k2:    -cmp( wpattern[k1], wpattern[k2] ) )
            # we can still get an optimization...
            kk = goodoppositeplaces[0]
            print "Last exchange possible, place %s can be moved (using place %s)" % ( k, kk )
            wblocks, wpattern = exchange( wblocks, wpattern, b, k, kk )
            wplaces = [ kk, ] if kk > bound else []
            print "New pattern:",
            print showVector( wpattern, separator = '' if b<10 else ',' )
            if showBlocks:
                blocksInformation( wblocks )

    if wplaces:
        k, = wplaces
        oppositeplaces = [ kk for kk in R if wpattern[kk] + wpattern[k] == b ]
        if not oppositeplaces:
            print "UNIQUE SOLUTION, place %s cannot be moved" % k
        else:
            L = len( oppositeplaces )
            print ( "%s = 2^%s SOLUTIONS, obtained by interchanging even number of positions in %s"
                    % ( 2**L, L, str( [k, ] + oppositeplaces ) ) )
    else:
        if b == 2*bound+1:
            print "UNIQUE SOLUTION, all suboptimal places could be paired"
        else:
            midplaces = [ kk for kk in R if wpattern[kk] == bound ]
            L = len( midplaces )
            if L == 0 :
                print "UNIQUE SOLUTION, all suboptimal places could be paired, none equal %s remained" % bound
            elif L == 1:
                print "UNIQUE SOLUTION, one middle place remained"
            else:
                print ( "%s = 2^%s SOLUTIONS, obtained by interchanging even number of middle positions in %s"
                        % ( 2**(L-1), L-1, str(midplaces) ) )

    print "OPTIMAL NUMBER OF SWITCHES: %s" % sum(wpattern)
    if not returnSolution:
        return

    sol = []
    for wblock in wblocks:
        sol += wblock
    return sol

sol = searchLampSwitches( N, m, lamps
                          , showBlocks=True
                          , returnSolution=True )

print sol
edit flag offensive delete link more
add a comment

Your Answer

Please start posting anonymously - your entry will be published after you log in or create a new account.

Add Answer

Question Tools

1 follower

subscribe to rss feed

Stats

Asked: 2019-03-21 22:13:15 +0200

Seen: 218 times

Last updated: Mar 22 '19

Related questions

Enumerate all solutions to linear system over finite field

solve linear system in GF(7)

Linear Algebra in Finite Fields (Goppa Codes)

How to find a minimum number of switch presses to shut down all lamps?

"Abstract" linear algebra

Is applying a ring homomorphism faster than symbolic substitution?

Sage 4.6.2: how to use CPLEX

Non-linear programming

Solve very simple linear program

sage.numerical.optimize.minimize_constrained versus fmincon

Copyright Sage, 2010. Some rights reserved under creative commons license. Content on this site is licensed under a Creative Commons Attribution Share Alike 3.0 license.
about | faq | help | privacy policy | terms of service
Powered by Askbot version 0.7.59