#### D.10.1.8 prepSV

Procedure from library `brnoeth.lib` (see brnoeth_lib).

Usage:
  prepSV( G, D, F, EC ); G,D,F intvecs and EC a list

Return:
  list E of size n+3, where n=size(D). All its entries but E[n+3] are matrices:

         E[1]:  parity check matrix for the current AG code
         E[2] ... E[n+2]:  matrices used in the procedure decodeSV
         E[n+3]:  intvec with
             E[n+3][1]: correction capacity
       of the algorithm
             E[n+3][2]: designed Goppa distance
       of the current AG code

Note:
  Computes the preprocessing for the basic (Skorobogatov-Vladut) decoding algorithm.
  The procedure must be called within the ring EC[1][4], where EC is the output of `extcurve(d)` (or in the ring EC[1][2] if d=1)
  The intvec G and F represent rational divisors (see BrillNoether for more details).
  The intvec D refers to rational places (see AGcode_Omega for more details.). The current AG code is `AGcode_Omega(G,D,EC)`.
  If you know the exact minimum distance d and you want to use it in `decodeSV` instead of , you can change the value of E[n+3][2] to d before applying decodeSV.
  If you have a systematic encoding for the current code and want to keep it during the decoding, you must previously permute D (using `permute_L(D,P);`), e.g., according to the permutation P=L[3], L being the output of `sys_code`.

Warnings:
  F must be a divisor with support disjoint from the support of D and with degree , where

  .
  G should satisfy , which is not checked by the algorithm.
  G and D should also have disjoint supports (checked by the algorithm).

Example:

    LIB "brnoeth.lib";
    int plevel=printlevel;
    printlevel=-1;
    ring s=2,(x,y),lp;
    list HC=Adj_div(x3+y2+y);
    ==> The genus of the curve is 1
    HC=NSplaces(1..2,HC);
    HC=extcurve(2,HC);
    ==> Total number of rational places : NrRatPl = 9
    def ER=HC[1][4];
    setring ER;
    intvec G=5;      // the rational divisor G = 5*HC[3][1]
    intvec D=2..9;   // D = sum of the rational places no. 2..9 over F_4
    // construct the corresp. residual AG code of type [8,3,>=5] over F_4:
    matrix C=AGcode_Omega(G,D,HC);
    ==> Vector basis successfully computed
    // we can correct 1 error and the genus is 1, thus F must have degree 2
    // and support disjoint from that of D;
    intvec F=2;
    list SV=prepSV(G,D,F,HC);
    ==> Vector basis successfully computed
    ==> Vector basis successfully computed
    ==> Vector basis successfully computed
    // now everything is prepared to decode with the basic algorithm;
    // for example, here is a parity check matrix to compute the syndrome :
    print(SV[1]);
    ==> 0,0,(a),  (a+1),(a+1),(a),  1,  1,
    ==> 0,1,(a),  (a+1),(a),  (a+1),(a),(a+1),
    ==> 1,1,1,    1,    1,    1,    1,  1,
    ==> 0,0,(a+1),(a),  (a),  (a+1),1,  1,
    ==> 0,0,(a+1),(a),  1,    1,    (a),(a+1)
    // and here you have the correction capacity of the algorithm :
    int epsilon=SV[size(D)+3][1];
    epsilon;
    ==> 1
    printlevel=plevel;

See also: AGcode_Omega; decodeSV; extcurve; permute_L; sys_code.

User manual for Singular version 4-0-3, 2016, generated by texi2html.