Lines Matching refs:tt

24 … the sum of the diagonal coefficients and can equivalently be computed <tt>a.diagonal().sum()</tt>.
55 …tt>array > 0</tt> is an %Array of the same size as \c array , with \b true at those positions wher…
180 We can interpret the instruction <tt>mat.colwise() += v</tt> in two equivalent ways. It adds the ve…
188 The operators <tt>-=</tt>, <tt>+</tt> and <tt>-</tt> can also be used column-wise and row-wise. On …
189 can also use the operators <tt>*=</tt>, <tt>/=</tt>, <tt>*</tt> and <tt>/</tt> to perform coefficie…
192 \c v(1), and so on, then use <tt>mat = mat * v.asDiagonal()</tt>.
216 the nearest neighbour of a vector <tt>v</tt> within the columns of matrix <tt>m</tt>. The Euclidean…
235 …- <tt>m.colwise() - v</tt> is a broadcasting operation, subtracting <tt>v</tt> from each column in…
236 is a new matrix whose size is the same as matrix <tt>m</tt>: \f[
244 …- <tt>(m.colwise() - v).colwise().squaredNorm()</tt> is a partial reduction, computing the squared…
245 …coefficient is the squared Euclidean distance between each column in <tt>m</tt> and <tt>v</tt>: \f[
252 …- Finally, <tt>minCoeff(&index)</tt> is used to obtain the index of the column in <tt>m</tt> that …