Ycs's profile - activity

Hi, this means that there exists no feasible way to the problem on Sage? There exists no feasible way to the problem on

Hi, this means that there exists no feasible way to the problem on Sage?

Thank you very much! Even using the condition while W2.intersection(W1).dimension() != 0:, I also do not get a successfu

Thank you very much! Even using the condition while W2.intersection(W1).dimension() != 0:, I also do not get a successfu

Thanks! But I seem not to get a successful test! def random_small_space_gen(t,m): B = matrix(GF(q),t,m,0) whil

Dear all,

How to generate a matrix whose columns have fixed hamming weight in the finite field GF(2) ?

I hope for a fast method for a huge matrix, for example, rows 150000, columns 4000, weight 250.

Thanks all!

How to obtain a linear space from the direct sum of two spaces? Dear all, Given a linear space $V$ of dimension $m$ ove

Dear all,

A $q$-polynomial of $q$-degree $r$ in $GF(q^m)$ is a polynomial of the form $P(x) = \sum_{i=0}^{r}p_ix^{q^i}$ for $p_i \in GF(q^m)$, $p_r\neq 0$.

How to define this $q$-polynomial in $GF(q^m)$? I do not find this and its operations in Reference Manual.

Thanks! This is a clever method. But it takes about 40 seconds for NROWS, NCOLS, WEIGHT = 150000, 4000, 250. I found a

Thanks! This is a clever method. But it takes about 40 seconds for NROWS, NCOLS, WEIGHT = 150000, 4000, 250. I found a

Thanks! This is a clever method. But it takes about 40 seconds for NROWS, NCOLS, WEIGHT = 150000, 4000, 250. I found a

Thanks！It is better if such a matrix is random. I have found a method that costs about 3s.

No random matrix! A matrix of size 150000 \times 4000, whose each column has a fixed hamming weight of 250. If using t

How to fast generate a matrix with columns of fixed hamming weight Dear all, How to generate a matrix whose columns hav

How to fast generate a matrix with columns of fixed hamming weight Dear all, How to generate a matrix whose columns hav

Dear all,

How to generate random vectors with a specific hamming weight in the finite field GF(q) ?

Thanks!

How to generate random vector with specific hamming weight in GF(q) ? Dear all, How to generate random vectors with a s

q-polynomial and Rank Decoding Problem Dear all, For the Rank Decoding (RD) problem: Given $y=mG+e$ , random row full-

I have other questions. Look at https://ask.sagemath.org/question/66323/q-polynomial-and-rank-decoding-problem/

q-polynomial and Rank Decoding Problem Dear all, For the Rank Decoding (RD) problem: Given $y=mG+e$ , random row full-

I have other questions.

For the RD problem, since all coordinates of $\bm e=(e_1,e_2,...,e_n)$ of weight $r$ lie in the same support (a subspace

Thanks very much!!!

How to define q-polynomial in a finite field GF(q^m)? Dear all, A $q$-polynomial of $q$-degree $r$ in $GF(q^m)$ is a po

How to define q-polynomial in a finite field GF(q^m)? Dear all, A $q$-polynomial of $q$-degree $r$ in $GF(q^m)$ is a po

How to define q-polynomial in a finite field GF(q^m)? Dear all, A $q$-polynomial of $q$-degree $r$ in $GF(q^m)$ is a po

How to define q-polynomial in a finite field GF(q^m)? Dear all, A $q$-polynomial of $q$-degree r in $GF(q^m)$ is a poly

How to define q-polynomial in a finite field GF(q^m)? Dear all, A $q$-polynomial of $q$-degree r in $GF(q^m)$ is a poly

Yes! thanks!

How to generate an invertible matrix over a finite field?

Generating an invertible matrix over a finite field? How to generate an invertible matrix over a finite field?

Generating an invertible matrix over a finite field? How to generate an invertible matrix over a finite field?

No cartesian_product. I only know this method with poor efficiency. Do you have other efficient methods? q = 2 ; m = 22

q = 2 ; m = 229; n = 83; r = 8 Fqm = GF(q^m) def gen_vec_space(t): # generate a vector space of dimension t over Fq

q = 2 ; m = 229; n = 83; r = 8 Fqm = GF(q^m) def gen_vec_space(t): # generate a vector space of dimension t over Fq

q = 2 ; m = 229; n = 83; r = 8 Fqm = GF(q^m) def gen_vec_space(t): # generate a vector space of dimension t over Fq

q = 2 ; m = 229; n = 83; r = 8 Fqm = GF(q^m) def gen_vec_space(t): # generate a vector space of dimension t over Fq