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<span class="Comment">/*</span><span class="Comment">*************************************************************************\</span>

<span class="Comment">MODULE: mat_ZZ_p</span>

<span class="Comment">SUMMARY:</span>

<span class="Comment">Defines the class mat_ZZ_p.</span>

<span class="Comment">\*************************************************************************</span><span class="Comment">*/</span>


<span class="PreProc">#include </span><span class="String">&lt;NTL/matrix.h&gt;</span>
<span class="PreProc">#include </span><span class="String">&lt;NTL/vec_vec_ZZ_p.h&gt;</span>


<span class="Type">typedef</span> Mat&lt;ZZ_p&gt; mat_ZZ_p; <span class="Comment">// backward compatibility</span>

<span class="Type">void</span> add(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> mat_ZZ_p&amp; B);
<span class="Comment">// X = A + B</span>

<span class="Type">void</span> sub(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> mat_ZZ_p&amp; B);
<span class="Comment">// X = A - B</span>

<span class="Type">void</span> negate(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A);
<span class="Comment">// X = - A</span>

<span class="Type">void</span> mul(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> mat_ZZ_p&amp; B);
<span class="Comment">// X = A * B</span>

<span class="Type">void</span> mul(vec_ZZ_p&amp; x, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> vec_ZZ_p&amp; b);
<span class="Comment">// x = A * b</span>

<span class="Type">void</span> mul(vec_ZZ_p&amp; x, <span class="Type">const</span> vec_ZZ_p&amp; a, <span class="Type">const</span> mat_ZZ_p&amp; B);
<span class="Comment">// x = a * B</span>

<span class="Type">void</span> mul(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> ZZ_p&amp; b);
<span class="Type">void</span> mul(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">long</span> b);
<span class="Comment">// X = A * b</span>

<span class="Type">void</span> mul(mat_ZZ_p&amp; X, <span class="Type">const</span> ZZ_p&amp; a, <span class="Type">const</span> mat_ZZ_p&amp; B);
<span class="Type">void</span> mul(mat_ZZ_p&amp; X, <span class="Type">long</span> a, <span class="Type">const</span> mat_ZZ_p&amp; B);
<span class="Comment">// X = a * B</span>


<span class="Type">void</span> determinant(ZZ_p&amp; d, <span class="Type">const</span> mat_ZZ_p&amp; A);
ZZ_p determinant(<span class="Type">const</span> mat_ZZ_p&amp; a);
<span class="Comment">// d = determinant(A)</span>


<span class="Type">void</span> transpose(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A);
mat_ZZ_p transpose(<span class="Type">const</span> mat_ZZ_p&amp; A);
<span class="Comment">// X = transpose of A</span>

<span class="Type">void</span> solve(ZZ_p&amp; d, vec_ZZ_p&amp; x, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> vec_ZZ_p&amp; b);
<span class="Comment">// A is an n x n matrix, b is a length n vector.  Computes d = determinant(A).</span>
<span class="Comment">// If d != 0, solves x*A = b.</span>

<span class="Type">void</span> solve(zz_p&amp; d, <span class="Type">const</span> mat_zz_p&amp; A, vec_zz_p&amp; x, <span class="Type">const</span> vec_zz_p&amp; b);
<span class="Comment">// A is an n x n matrix, b is a length n vector.  Computes d = determinant(A).</span>
<span class="Comment">// If d != 0, solves A*x = b (so x and b are treated as a column vectors).</span>

<span class="Type">void</span> inv(ZZ_p&amp; d, mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A);
<span class="Comment">// A is an n x n matrix.  Computes d = determinant(A).  If d != 0,</span>
<span class="Comment">// computes X = A^{-1}.</span>

<span class="Type">void</span> sqr(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A);
mat_ZZ_p sqr(<span class="Type">const</span> mat_ZZ_p&amp; A);
<span class="Comment">// X = A*A   </span>

<span class="Type">void</span> inv(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A);
mat_ZZ_p inv(<span class="Type">const</span> mat_ZZ_p&amp; A);
<span class="Comment">// X = A^{-1}; error is raised if A is  singular</span>

<span class="Type">void</span> power(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> ZZ&amp; e);
mat_ZZ_p power(<span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">const</span> ZZ&amp; e);

<span class="Type">void</span> power(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">long</span> e);
mat_ZZ_p power(<span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">long</span> e);
<span class="Comment">// X = A^e; e may be negative (in which case A must be nonsingular).</span>

<span class="Type">void</span> ident(mat_ZZ_p&amp; X, <span class="Type">long</span> n);
mat_ZZ_p ident_mat_ZZ_p(<span class="Type">long</span> n);
<span class="Comment">// X = n x n identity matrix</span>

<span class="Type">long</span> IsIdent(<span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">long</span> n);
<span class="Comment">// test if A is the n x n identity matrix</span>

<span class="Type">void</span> diag(mat_ZZ_p&amp; X, <span class="Type">long</span> n, <span class="Type">const</span> ZZ_p&amp; d);
mat_ZZ_p diag(<span class="Type">long</span> n, <span class="Type">const</span> ZZ_p&amp; d);
<span class="Comment">// X = n x n diagonal matrix with d on diagonal</span>

<span class="Type">long</span> IsDiag(<span class="Type">const</span> mat_ZZ_p&amp; A, <span class="Type">long</span> n, <span class="Type">const</span> ZZ_p&amp; d);
<span class="Comment">// test if X is an  n x n diagonal matrix with d on diagonal</span>



<span class="Type">void</span> random(mat_ZZ_p&amp; x, <span class="Type">long</span> n, <span class="Type">long</span> m);  <span class="Comment">// x = random n x m matrix</span>
mat_ZZ_p random_mat_ZZ_p(<span class="Type">long</span> n, <span class="Type">long</span> m);



<span class="Type">long</span> gauss(mat_ZZ_p&amp; M);
<span class="Type">long</span> gauss(mat_ZZ_p&amp; M, <span class="Type">long</span> w);
<span class="Comment">// Performs unitary row operations so as to bring M into row echelon</span>
<span class="Comment">// form.  If the optional argument w is supplied, stops when first w</span>
<span class="Comment">// columns are in echelon form.  The return value is the rank (or the</span>
<span class="Comment">// rank of the first w columns).</span>

<span class="Type">void</span> image(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A);
<span class="Comment">// The rows of X are computed as basis of A's row space.  X is is row</span>
<span class="Comment">// echelon form</span>

<span class="Type">void</span> kernel(mat_ZZ_p&amp; X, <span class="Type">const</span> mat_ZZ_p&amp; A);
<span class="Comment">// Computes a basis for the kernel of the map x -&gt; x*A. where x is a</span>
<span class="Comment">// row vector.</span>



<span class="Comment">// miscellaneous:</span>

<span class="Type">void</span> clear(mat_ZZ_p&amp; a);
<span class="Comment">// x = 0 (dimension unchanged)</span>

<span class="Type">long</span> IsZero(<span class="Type">const</span> mat_ZZ_p&amp; a);
<span class="Comment">// test if a is the zero matrix (any dimension)</span>


<span class="Comment">// operator notation:</span>

mat_ZZ_p <span class="Statement">operator</span>+(<span class="Type">const</span> mat_ZZ_p&amp; a, <span class="Type">const</span> mat_ZZ_p&amp; b);
mat_ZZ_p <span class="Statement">operator</span>-(<span class="Type">const</span> mat_ZZ_p&amp; a, <span class="Type">const</span> mat_ZZ_p&amp; b);
mat_ZZ_p <span class="Statement">operator</span>*(<span class="Type">const</span> mat_ZZ_p&amp; a, <span class="Type">const</span> mat_ZZ_p&amp; b);

mat_ZZ_p <span class="Statement">operator</span>-(<span class="Type">const</span> mat_ZZ_p&amp; a);


<span class="Comment">// matrix/scalar multiplication:</span>

mat_ZZ_p <span class="Statement">operator</span>*(<span class="Type">const</span> mat_ZZ_p&amp; a, <span class="Type">const</span> ZZ_p&amp; b);
mat_ZZ_p <span class="Statement">operator</span>*(<span class="Type">const</span> mat_ZZ_p&amp; a, <span class="Type">long</span> b);

mat_ZZ_p <span class="Statement">operator</span>*(<span class="Type">const</span> ZZ_p&amp; a, <span class="Type">const</span> mat_ZZ_p&amp; b);
mat_ZZ_p <span class="Statement">operator</span>*(<span class="Type">long</span> a, <span class="Type">const</span> mat_ZZ_p&amp; b);

<span class="Comment">// matrix/vector multiplication:</span>

vec_ZZ_p <span class="Statement">operator</span>*(<span class="Type">const</span> mat_ZZ_p&amp; a, <span class="Type">const</span> vec_ZZ_p&amp; b);

vec_ZZ_p <span class="Statement">operator</span>*(<span class="Type">const</span> vec_ZZ_p&amp; a, <span class="Type">const</span> mat_ZZ_p&amp; b);


<span class="Comment">// assignment operator notation:</span>

mat_ZZ_p&amp; <span class="Statement">operator</span>+=(mat_ZZ_p&amp; x, <span class="Type">const</span> mat_ZZ_p&amp; a);
mat_ZZ_p&amp; <span class="Statement">operator</span>-=(mat_ZZ_p&amp; x, <span class="Type">const</span> mat_ZZ_p&amp; a);
mat_ZZ_p&amp; <span class="Statement">operator</span>*=(mat_ZZ_p&amp; x, <span class="Type">const</span> mat_ZZ_p&amp; a);

mat_ZZ_p&amp; <span class="Statement">operator</span>*=(mat_ZZ_p&amp; x, <span class="Type">const</span> ZZ_p&amp; a);
mat_ZZ_p&amp; <span class="Statement">operator</span>*=(mat_ZZ_p&amp; x, <span class="Type">long</span> a);

vec_ZZ_p&amp; <span class="Statement">operator</span>*=(vec_ZZ_p&amp; x, <span class="Type">const</span> mat_ZZ_p&amp; a);



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