• # spatstat

• Referenced in 122 articles [sw04429]
• number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model ... images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics...
• # Algorithm 876

• Referenced in 11 articles [sw12906]
• specified, modest accuracy. The kernel function K(s,t) is to be moderately smooth ... kernel functions that behave in a variety of ways across the diagonal, viz. K ... integral equations with moderately smooth kernel function...
• # Z_LINEAR_K

• Referenced in 10 articles [sw28125]
• LINEAR_K provides the asymptotical inferences (tests and confidence intervals) for the parameters ... linear function of K independent proportions) or R=p2/p1 (the relative risk), by means...
• # SVMlight

• Referenced in 254 articles [sw04076]
• 2002c]. The goal is to learn a function from preference examples, so that it orders ... thought of as a transductive version of k-Nearest Neighbor is the Spectral Graph Transducer...
• # ASA

• Referenced in 73 articles [sw04736]
• nonlinear constrained non-convex cost-function over a D-dimensional space. This algorithm permits ... temperature” T decreasing exponentially in annealing-time k...
• # ParMETIS

• Referenced in 97 articles [sw04697]
• orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that ... ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel...
• # tree

• Referenced in 16 articles [sw11163]
• Trees: Classification and regression trees. Runs a K-fold cross-validation experiment to find ... misclassifications as a function of the cost-complexity parameter k...
• # SuLQ

• Referenced in 119 articles [sw11355]
• modify the privacy analysis to real-valued functions f and arbitrary row types ... invocations of the primitive: principal component analysis, k means clustering, the Perceptron Algorithm...
• # fdakma

• Referenced in 6 articles [sw14401]
• package fdakma: Functional Data Analysis: K-Mean Alignment. It performs simultaneously clustering and alignment ... multidimensional or unidimensional functional dataset by means of k-mean alignment...
• # NLCertify

• Referenced in 4 articles [sw08786]
• formal features. Given a box K and a function f as input, NLCertify provides OCaml ... that produce nonnegativity certificates for f over K, which can be ultimately proved correct inside ... leaves of t are semialgebraic functions obtained by composition of polynomials with some basic operations ... other nodes can be either univariate transcendental functions (arctan, cos, exp, etc) or basic operations...
• # infinite group relaxation

• Referenced in 22 articles [sw14600]
• modern context of cut generating functions. It focuses on the recent developments, such as algorithms ... testing extremality and breakthroughs for the $k$-row problem for general $kge 1$ that extend ... other things, it unveils piecewise linear extreme functions with more than four different slopes...
• # na12

• Referenced in 27 articles [sw11490]
• technique (Buzbee et al., 1970), rephrased in functional form (Bini and Meini, 1996), provides ... where the Ai’s are nonnegative k × k matrices such that ... suitable set of Fourier points, of the functional relations defining each step of cyclic reduction...