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Mathematical Programming Glossary
Risk is measured by a standard deviation from the expected return, say s_j(x_j) ... is the Gibbs free energy function for x_j = number of moles of species ...
http://glossary.computing.society.informs.org/index.php?page=C.html
Mathematical Programming Glossary
... selected; else, x_j = 0. The matrix A has 0's and 1's, where the i-th row ... Let x_j be the percent of capital invested in the j-th opportunity (e.g., stock ...
http://glossary.computing.society.informs.org/index.php?page=P.html
B553: Content-Addressable Memories
`E = -half sum_i sum_j w_(ij) x_i x_j` For symmetric weights, this can be rewritten as ` ... 2 x_i sum_j w_(ij) x_j - 2 w_(ii) ...
http://www.cs.indiana.edu/classes/b553/Notes/hop.html
PlanetMath: relation theory
... property $C,$ where $x$ is taken to vary over the theme of the fixed domain $X_j. ... a point $x$ in $X_j$ to a subset $M$ of $X_j,$ arriving at the definition of ...
http://planetmath.org/encyclopedia/RelationTheory.html
Metric.tex
... of learn data tuples, for which the 85 input $x_j$ has the symbol $w$ resp. ... The values $I(x_j,y)$ are normalized to get an 294 average feature weight of one. ...
http://www.newty.de/lsc/exp_latex.html
B553: Delta Rule and Back-Propagation
`E = sum_j 1/2 (t_j - x_j)^2` ... `x_j(t+1) = g(h_j(t)) = g[h(vec x(t), vec w_j(t) ... (5) `(del x_j)/(del h_j) = g prime(h_j) ...
http://www.cs.indiana.edu/classes/b553/Notes/delta_rule.html
Fourier Transforms
... DFT of $N$ uniformly sampled data points $x_j$ (where $j = 0,\dots,N-1$) and its ... oscillations in the original data $x_j$, and therefore a frequency $\nu ...
http://www.cv.nrao.edu/course/astr534/FourierTransforms.html
No title
... i is in B, then set v[i,j] = p[i](x_j) If i is not in B, then set v[i,j] at ... For all remaining j, set s[k,j] = q[k](x_j) ... Send r[i,j] = r[i](x_j) to P[j] ...
http://cseweb.ucsd.edu/classes/fa02/cse208/lec12.html
Quasiconvex pattern matching
"Solving the Minimum-Cost Matching Principle for Quasi-Convex Tours: An Efficient ... adjacent but in tour order, with $x_i,x_j$ of one color and $x_k,x_\ell$ of ...
http://euclid.ucsd.edu/~sbuss/ResearchWeb/quasiconvex/software.html
Linear and O(n log n) Time Minimum-Cost Matching Algorithms ...
Linear and O(n log n) Time Minimum-Cost Matching Algorithms for Quasi-convex Tours. Samuel R. Buss and ... in tour order, with x_i,x_j of one color and x_k,x_l ...
http://pnylab.com/pny/papers/quasi/main.html
TWQ S
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http://techpubs.borland.com/starteam/2009/de/ST_CmdTools_Help_de.pdf
Quasiconvex pattern matching
"Linear and O(n log n) Time Minimum-Cost Matching Algorithms for Quasiconvex Tours. ... adjacent but in tour order, with $x_i,x_j$ of one color and $x_k,x_\ell$ of ...
http://euclid.ucsd.edu/~sbuss/ResearchWeb/quasiconvex/index.html