- magnitude() - Method in class edu.ucla.sspace.vector.AbstractDoubleVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.AbstractIntegerVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.AbstractVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.AmortizedSparseVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.AtomicSparseVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.AtomicVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.CompactSparseIntegerVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.CompactSparseVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.DenseDynamicMagnitudeVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.DenseIntVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.DenseVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.ScaledDoubleVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.SparseHashDoubleVector
-
Returns the magnitude of this vector
- magnitude - Variable in class edu.ucla.sspace.vector.SparseHashVector
-
The magnitude of the vector or -1 if the value is currently invalid needs
to be recomputed
- magnitude() - Method in class edu.ucla.sspace.vector.SparseHashVector
-
Returns the magnitude of this vector
- magnitude() - Method in class edu.ucla.sspace.vector.TernaryVector
-
Returns the magnitude of this vector
- magnitude() - Method in interface edu.ucla.sspace.vector.Vector
-
Returns the magnitude of this vector
- main(String[]) - Static method in class edu.ucla.sspace.evaluation.DeeseEvaluator
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.BeagleMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.CoalsMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.DependencyRandomIndexingMain
-
Begin processing with FlyingHermit
.
- main(String[]) - Static method in class edu.ucla.sspace.mains.DependencyVectorSpaceMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.DVWCWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.DVWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.ESAMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.EvaluatorMain
-
Starts up the evaluation.
- main(String[]) - Static method in class edu.ucla.sspace.mains.FixedDurationTemporalRandomIndexingMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.GrefenstetteMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.GwsMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.HALMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.IsaMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.LexSubWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.LpcsMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.LpsaMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.LSAMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.PLSAMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.PreComputedWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.PurandareMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.RandomIndexingMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.ReflectiveRandomIndexingMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.RIWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.SelPrefWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.StructuredVectorSpaceMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.TopicWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.VsmMain
-
- main(String[]) - Static method in class edu.ucla.sspace.mains.WCWordsiMain
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.BasisPrinter
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.BigramExtractor
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.BlogPreProcessor
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.ChildesParser
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.ClusterSSpace
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.ConvertCorpusToOneSentencePerLine
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.DepPsdTokenCounter
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.DepSemTokenCounter
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.DepTokenCounter
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.IterativeBigramExtractor
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.LinkClusteringTool
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.MatrixConverter
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.MatrixTranspose
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.NearestNeighborFinderTool
-
Runs the program
- main(String[]) - Static method in class edu.ucla.sspace.tools.NsfAbstractCleaner
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.OneLineDocumentCleaner
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.PsudoWordSelector
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.PUkWacSentenceStripper
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.ReductionEval
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.SelectTopKWords
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.SemanticSpaceExplorer
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.SimilarityListGenerator
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.SparseMatrixConverter
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.StemTermList
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.SvdTool
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.TokenCounter
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.TwentyNewsGroupsCleaner
-
- main(String[]) - Static method in class edu.ucla.sspace.tools.WikipediaCleaner
-
- makeInitialState(Graph<? extends Edge>, Graph<? extends Edge>) - Method in class edu.ucla.sspace.graph.isomorphism.AbstractIsomorphismTester
-
Creates an empty
State
for mapping the vertices of
g1
to
g2
.
- makeInitialState(Graph<? extends Edge>, Graph<? extends Edge>) - Method in class edu.ucla.sspace.graph.isomorphism.TypedVF2IsomorphismTester
-
Returns a new State
for running the VF2 algorithm.
- makeInitialState(Graph<? extends Edge>, Graph<? extends Edge>) - Method in class edu.ucla.sspace.graph.isomorphism.VF2IsomorphismTester
-
Returns a new State
for running the VF2 algorithm.
- makeNonZero(Matrix) - Static method in class edu.ucla.sspace.matrix.factorization.NonNegativeMatrixFactorizationOPL
-
Sets any negative values of m
to zero.
- mapping() - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphIndexer
-
Returns an unmodifiable view from each index to the object mapped to that
index.
- mapping() - Method in class edu.ucla.sspace.util.HashIndexer
-
Returns an unmodifiable view from each index to the object mapped to that
index.
- mapping() - Method in interface edu.ucla.sspace.util.Indexer
-
Returns an unmodifiable view from each index to the object mapped to that
index.
- mapping() - Method in class edu.ucla.sspace.util.ObjectIndexer
-
Returns an unmodifiable view from each index to the object mapped to that
index.
- MaskedDoubleVectorView - Class in edu.ucla.sspace.vector
-
A decorator that masked view of a
Vector
through the use of a mapping
from new column indices to original column indices.
- MaskedDoubleVectorView(DoubleVector, int[]) - Constructor for class edu.ucla.sspace.vector.MaskedDoubleVectorView
-
- MaskedSparseDoubleVectorView - Class in edu.ucla.sspace.vector
-
A decorator that masked view of a
SparseVector
through the use of a
mapping from new column indices to original column indices.
- MaskedSparseDoubleVectorView(T, int[], Map<Integer, Integer>) - Constructor for class edu.ucla.sspace.vector.MaskedSparseDoubleVectorView
-
- MatlabSparseFileTransformer - Class in edu.ucla.sspace.matrix
-
- MatlabSparseFileTransformer() - Constructor for class edu.ucla.sspace.matrix.MatlabSparseFileTransformer
-
- MatlabSparseMatrixBuilder - Class in edu.ucla.sspace.matrix
-
A MatrixBuilder
implementation for creating matrix files in the
Matlab&cp; sparse matrix format.
- MatlabSparseMatrixBuilder() - Constructor for class edu.ucla.sspace.matrix.MatlabSparseMatrixBuilder
-
Creates a builder for a matrix in the
MATLAB_SPARSE
format to be stored in a
temporary file.
- MatlabSparseMatrixBuilder(boolean) - Constructor for class edu.ucla.sspace.matrix.MatlabSparseMatrixBuilder
-
Creates a builder for a matrix in the
MATLAB_SPARSE
format to be stored in a
temporary file.
- MatlabSparseMatrixBuilder(File) - Constructor for class edu.ucla.sspace.matrix.MatlabSparseMatrixBuilder
-
Creates a builder for a matrix in the
MATLAB_SPARSE
format, which will be stored
in the specified file.
- MatlabSparseMatrixBuilder(File, boolean) - Constructor for class edu.ucla.sspace.matrix.MatlabSparseMatrixBuilder
-
Creates a builder for a matrix in the
MATLAB_SPARSE
format, which will be stored
in the specified file.
- Matrices - Class in edu.ucla.sspace.matrix
-
A class of static methods for manipulating and creating Matrix
instances.
- matrix - Variable in class edu.ucla.sspace.clustering.criterion.BaseFunction
-
The
Matrix
holding the data points.
- matrix - Variable in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction
-
The
Matrix
holding the data points.
- Matrix - Interface in edu.ucla.sspace.matrix
-
An interface specification for interacting with Matrix
objects.
- Matrix.Type - Enum in edu.ucla.sspace.matrix
-
The type of Matrix
instance.
- MATRIX_TRANSFORM_PROPERTY - Static variable in class edu.ucla.sspace.lsa.LatentSemanticAnalysis
-
The property to define the
Transform
class to be used
when processing the space after all the documents have been seen.
- MATRIX_TRANSFORM_PROPERTY - Static variable in class edu.ucla.sspace.nonlinear.LocalityPreservingSemanticAnalysis
-
The property to define the
Transform
class to be used
when processing the space after all the documents have been seen.
- MATRIX_TRANSFORM_PROPERTY - Static variable in class edu.ucla.sspace.vsm.VectorSpaceModel
-
The property to define the
Transform
class to be used
when processing the space after all the documents have been seen.
- MatrixBuilder - Interface in edu.ucla.sspace.matrix
-
An interface for utilities that support incrementally building matrices on
disk, one column at a time.
- MatrixConverter - Class in edu.ucla.sspace.tools
-
A simple command line tool for converting a
Matrix
from one format to
another.
- MatrixConverter() - Constructor for class edu.ucla.sspace.tools.MatrixConverter
-
- MatrixEntry - Interface in edu.ucla.sspace.matrix
-
An abstraction of the entries in a matrix.
- MatrixFactorization - Interface in edu.ucla.sspace.matrix
-
An interface for any algorithm that decomposes a
Matrix
into two sub
Matrix
s that are linked by some form of latent variable.
- MatrixFile - Class in edu.ucla.sspace.matrix
-
An abstraction of a matrix that is stored on disk.
- MatrixFile(File, MatrixIO.Format) - Constructor for class edu.ucla.sspace.matrix.MatrixFile
-
Constucts a MatrixFile
from the provided File
and format.
- MatrixIO - Class in edu.ucla.sspace.matrix
-
A shared utility for printing matrices to files in a uniform manner and
converting between different formats.
- MatrixIO.Format - Enum in edu.ucla.sspace.matrix
-
An enum that specifies the formatting used for the matrix that is
serialized in a file.
- MatrixIOException - Exception in edu.ucla.sspace.matrix
-
An exception indicating that some error has occurred during reading or
writing of a matrix file.
- MatrixIOException() - Constructor for exception edu.ucla.sspace.matrix.MatrixIOException
-
Creates a MatrixIOException
with no message
- MatrixIOException(String) - Constructor for exception edu.ucla.sspace.matrix.MatrixIOException
-
Creates a MatrixIOException
with the provided message to report
to the user.
- MatrixIOException(String, Throwable) - Constructor for exception edu.ucla.sspace.matrix.MatrixIOException
-
Creates a MatrixIOException
with the provided message to report
to the user, listing the Throwable
as the original cause of the
exception.
- matrixRowSums - Variable in class edu.ucla.sspace.clustering.BaseSpectralCut
-
The centroid of the entire data set.
- matrixSum - Variable in class edu.ucla.sspace.matrix.TransformStatistics.MatrixStatistics
-
- MatrixTranspose - Class in edu.ucla.sspace.tools
-
- MatrixTranspose() - Constructor for class edu.ucla.sspace.tools.MatrixTranspose
-
- max() - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicGraphCounter
-
Returns the element that currently has the largest count.
- max() - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphCounter
-
Returns the element that currently has the largest count.
- max() - Method in interface edu.ucla.sspace.util.Counter
-
Returns the element that currently has the largest count.
- max() - Method in class edu.ucla.sspace.util.IndexedCounter
-
Returns the element that currently has the largest count.
- max() - Method in class edu.ucla.sspace.util.ObjectCounter
-
Returns the element that currently has the largest count.
- max() - Method in class edu.ucla.sspace.util.PairCounter
-
Returns the pair that currently has the largest count.
- MAX_CONTEXTS_PER_WORD - Static variable in class edu.ucla.sspace.purandare.PurandareFirstOrder
-
The property to set the upper-bound on the maximum number of contexts to
be clustered for a single word.
- MAX_DIMENSIONS_PROPERTY - Static variable in class edu.ucla.sspace.coals.Coals
-
Specifies the number of dimensions in the raw co-occurrance matrix to
maintain.
- MAX_WORDS_PROPERTY - Static variable in class edu.ucla.sspace.coals.Coals
-
Specifies the number of words to build semantics for.
- MaximumMiniparTemplateAcceptor - Class in edu.ucla.sspace.dv
-
- MaximumMiniparTemplateAcceptor() - Constructor for class edu.ucla.sspace.dv.MaximumMiniparTemplateAcceptor
-
Creates the acceptor with its standard templates
- maxKey() - Method in class edu.ucla.sspace.util.ArrayMap
-
Returns the largest
Integer
key allowed by this map.
- maxPathLength() - Method in interface edu.ucla.sspace.dependency.DependencyPathAcceptor
-
Returns the maximum path length allowed by this acceptor.
- maxPathLength() - Method in class edu.ucla.sspace.dependency.UniversalPathAcceptor
-
Returns the maximum path length allowed by this acceptor.
- maxPathLength() - Method in class edu.ucla.sspace.dv.MaximumMiniparTemplateAcceptor
-
Returns the maximum path length allowed by this acceptor.
- maxPathLength() - Method in class edu.ucla.sspace.dv.MediumMiniparTemplateAcceptor
-
Returns the maximum path length allowed by this acceptor.
- maxPathLength() - Method in class edu.ucla.sspace.dv.MediumPennTemplateAcceptor
-
Returns the maximum path length allowed by this acceptor.
- maxPathLength() - Method in class edu.ucla.sspace.dv.MinimumMiniparTemplateAcceptor
-
Returns the maximum path length allowed by this acceptor.
- maxPathLength() - Method in class edu.ucla.sspace.dv.MinimumPennTemplateAcceptor
-
Returns the maximum path length allowed by this acceptor.
- mean(Collection<? extends Number>) - Static method in class edu.ucla.sspace.common.Statistics
-
Returns the mean value of the collection of numbers
- mean(int[]) - Static method in class edu.ucla.sspace.common.Statistics
-
Returns the mean value of the array of ints
- mean(double[]) - Static method in class edu.ucla.sspace.common.Statistics
-
Returns the mean value of the array of doubles
- MEAN_PROPERTY - Static variable in class edu.ucla.sspace.index.GaussianVectorGenerator
-
The property for setting the standard deviation.
- meanCountInNullModel - Variable in class edu.ucla.sspace.graph.Fanmod.Result
-
The expected value of motif's count in the null model
- median(Collection<T>) - Static method in class edu.ucla.sspace.common.Statistics
-
Returns the median value of the collection of numbers
- median(int[]) - Static method in class edu.ucla.sspace.common.Statistics
-
Returns the median value of the array of ints
- median(double[]) - Static method in class edu.ucla.sspace.common.Statistics
-
Returns the median value of the array of doubles
- MediumMiniparTemplateAcceptor - Class in edu.ucla.sspace.dv
-
- MediumMiniparTemplateAcceptor() - Constructor for class edu.ucla.sspace.dv.MediumMiniparTemplateAcceptor
-
Creates the acceptor with its standard templates
- MediumPennTemplateAcceptor - Class in edu.ucla.sspace.dv
-
- MediumPennTemplateAcceptor() - Constructor for class edu.ucla.sspace.dv.MediumPennTemplateAcceptor
-
Creates the acceptor with its standard templates
- merge(Cluster<T>) - Method in class edu.ucla.sspace.clustering.CentroidCluster
-
- merge(Cluster<T>) - Method in interface edu.ucla.sspace.clustering.Cluster
-
- Merge - Class in edu.ucla.sspace.clustering
-
A status object that represents the result of agglomeratively merging two
clusters.
- Merge(int, int, double) - Constructor for class edu.ucla.sspace.clustering.Merge
-
- merge(Cluster<T>) - Method in class edu.ucla.sspace.clustering.SynchronizedCluster
-
- MERGE_THRESHOLD_PROPERTY - Static variable in class edu.ucla.sspace.clustering.OnlineKMeans
-
The property for setting the threshold for merging two clusters.
- mergedCluster() - Method in class edu.ucla.sspace.clustering.Merge
-
Returns the ID of the cluster that was merged into another cluster.
- method - Variable in class org.tartarus.snowball.Among
-
- METHOD_PROPERTY - Static variable in class edu.ucla.sspace.clustering.GapStatistic
-
- methodobject - Variable in class org.tartarus.snowball.Among
-
- min() - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicGraphCounter
-
Returns the element that currently has the smallest count.
- min() - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphCounter
-
Returns the element that currently has the smallest count.
- min() - Method in interface edu.ucla.sspace.util.Counter
-
Returns the element that currently has the smallest count.
- min() - Method in class edu.ucla.sspace.util.IndexedCounter
-
Returns the element that currently has the smallest count.
- min() - Method in class edu.ucla.sspace.util.ObjectCounter
-
Returns the element that currently has the smallest count.
- min() - Method in class edu.ucla.sspace.util.PairCounter
-
Returns the pair that currently has the smallest count.
- MIN_CLUSTER_SIMILARITY_PROPERTY - Static variable in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering
-
The property for specifying the cluster similarity threshold.
- MINIMUM_EDGE_SIMILARITY_PROPERTY - Static variable in class edu.ucla.sspace.graph.LinkClustering
-
- MinimumMiniparTemplateAcceptor - Class in edu.ucla.sspace.dv
-
- MinimumMiniparTemplateAcceptor() - Constructor for class edu.ucla.sspace.dv.MinimumMiniparTemplateAcceptor
-
Creates the acceptor with its standard templates
- MinimumPennTemplateAcceptor - Class in edu.ucla.sspace.dv
-
- MinimumPennTemplateAcceptor() - Constructor for class edu.ucla.sspace.dv.MinimumPennTemplateAcceptor
-
Creates the acceptor with its standard templates
- MinSimilarityAffinityMatrixCreator - Class in edu.ucla.sspace.matrix
-
This
AffinityMatrixCreator
adds an edge between two data points, i
and j, if the similarity between them is above a certain threshold.
- MinSimilarityAffinityMatrixCreator() - Constructor for class edu.ucla.sspace.matrix.MinSimilarityAffinityMatrixCreator
-
- modifiedMagnitude(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.clustering.criterion.BaseFunction
-
Returns the magnitude of c
as if v
was added to the the
vector.
- modifiedMagnitudeSqrd(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.clustering.criterion.BaseFunction
-
Returns the magnitude squared of c
as if v
was added to
the vector.
- MODIFIERS - Static variable in class edu.ucla.sspace.dv.PennTags
-
- Multigraph<T,E extends TypedEdge<T>> - Interface in edu.ucla.sspace.graph
-
An interface specification for interacting with
MultiGraph objects.
- MultiMap<K,V> - Interface in edu.ucla.sspace.util
-
An object that maps a key to one or more values.
- MultipleChoiceQuestion - Interface in edu.ucla.sspace.evaluation
-
A question that provides a prompt and one or more options to choose from as
the answer.
- multiply(Matrix, Matrix) - Static method in class edu.ucla.sspace.matrix.Matrices
-
- multiply(int, Double) - Method in class edu.ucla.sspace.util.SparseDoubleArray
-
Multiplies the value to the index by the provided value and saves the
result at the index (just as array[index] *= value
)
- multiply(int, Integer) - Method in class edu.ucla.sspace.util.SparseIntArray
-
Multiplies the value to the index by the provided value and saves the
result at the index (just as array[index] *= value
)
- multiply(int, Long) - Method in class edu.ucla.sspace.util.SparseLongArray
-
Multiplies the value to the index by the provided value and saves the
result at the index (just as array[index] *= value
)
- multiply(int, T) - Method in interface edu.ucla.sspace.util.SparseNumericArray
-
Multiplies the value to the index by the provided value and saves the
result at the index (just as array[index] *= value
)
- multiply(Vector, Vector) - Static method in class edu.ucla.sspace.vector.VectorMath
-
Mulitplies the values in left
and right
and store the
product in left
.
- multiply(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.vector.VectorMath
-
Multiply the values in left
and right
and store the
product in left
.
- multiply(IntegerVector, IntegerVector) - Static method in class edu.ucla.sspace.vector.VectorMath
-
Multiply the values in left
and right
and store the
product in left
.
- multiplyPrimitive(int, double) - Method in class edu.ucla.sspace.util.SparseDoubleArray
-
Multiplies the value to the index by the provided value and saves the
result at the index (just as array[index] *= value
)
- multiplyPrimitive(int, int) - Method in class edu.ucla.sspace.util.SparseIntArray
-
Multiplies the value to the index by the provided value and saves the
result at the index (just as array[index] *= value
)
- multiplyPrimitive(int, long) - Method in class edu.ucla.sspace.util.SparseLongArray
-
Multiplies the value to the index by the provided value and saves the
result at the index (just as array[index] *= value
)
- multiplyUnmodified(SparseDoubleVector, SparseDoubleVector) - Static method in class edu.ucla.sspace.vector.VectorMath
-
Multiply the values in
a
and
b
and store the
product in a new
CompactSparseVector
This is an element by
element multiplication.
- multiplyUnmodified(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.vector.VectorMath
-
Multiply the values in left
and right
and store the
product in a new Vector
.