Uses of Class
org.la4j.vector.SparseVector
Packages that use SparseVector
Package
Description
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Uses of SparseVector in org.la4j
Methods in org.la4j that return SparseVectorModifier and TypeMethodDescriptionVector.toSparseVector()Converts this vector into aSparseVector. -
Uses of SparseVector in org.la4j.operation
Methods in org.la4j.operation with parameters of type SparseVectorModifier and TypeMethodDescriptionCommonVectorOperation.apply(SparseVector a) CommonVectorVectorOperation.apply(DenseVector a, SparseVector b) CommonVectorVectorOperation.apply(SparseVector a, DenseVector b) CommonVectorVectorOperation.apply(SparseVector a, SparseVector b) abstract RMatrixVectorOperation.apply(ColumnMajorSparseMatrix a, SparseVector b) abstract RMatrixVectorOperation.apply(DenseMatrix a, SparseVector b) abstract RMatrixVectorOperation.apply(RowMajorSparseMatrix a, SparseVector b) SymmetricVectorVectorOperation.apply(DenseVector a, SparseVector b) SymmetricVectorVectorOperation.apply(SparseVector a, DenseVector b) abstract RVectorMatrixOperation.apply(SparseVector a, ColumnMajorSparseMatrix b) abstract RVectorMatrixOperation.apply(SparseVector a, DenseMatrix b) abstract RVectorMatrixOperation.apply(SparseVector a, RowMajorSparseMatrix b) abstract RVectorOperation.apply(SparseVector a) abstract RVectorVectorOperation.apply(DenseVector a, SparseVector b) abstract RVectorVectorOperation.apply(SparseVector a, DenseVector b) abstract RVectorVectorOperation.apply(SparseVector a, SparseVector b) abstract RSymmetricVectorVectorOperation.applySymmetric(DenseVector a, SparseVector b) VectorMatrixOperation.partiallyApply(SparseVector a) VectorVectorOperation.partiallyApply(SparseVector a) -
Uses of SparseVector in org.la4j.operation.ooplace
Methods in org.la4j.operation.ooplace with parameters of type SparseVectorModifier and TypeMethodDescriptionOoPlaceInnerProduct.apply(SparseVector a, SparseVector b) OoPlaceMatrixByVectorMultiplication.apply(ColumnMajorSparseMatrix a, SparseVector b) OoPlaceMatrixByVectorMultiplication.apply(DenseMatrix a, SparseVector b) OoPlaceMatrixByVectorMultiplication.apply(RowMajorSparseMatrix a, SparseVector b) OoPlaceOuterProduct.apply(DenseVector a, SparseVector b) OoPlaceOuterProduct.apply(SparseVector a, DenseVector b) OoPlaceOuterProduct.apply(SparseVector a, SparseVector b) OoPlaceVectorByMatrixMultiplication.apply(SparseVector a, ColumnMajorSparseMatrix b) OoPlaceVectorByMatrixMultiplication.apply(SparseVector a, DenseMatrix b) OoPlaceVectorByMatrixMultiplication.apply(SparseVector a, RowMajorSparseMatrix b) OoPlaceVectorHadamardProduct.apply(SparseVector a, SparseVector b) OoPlaceVectorsAddition.apply(SparseVector a, SparseVector b) OoPlaceVectorsSubtraction.apply(DenseVector a, SparseVector b) OoPlaceVectorsSubtraction.apply(SparseVector a, DenseVector b) OoPlaceVectorsSubtraction.apply(SparseVector a, SparseVector b) OoPlaceInnerProduct.applySymmetric(DenseVector a, SparseVector b) OoPlaceVectorHadamardProduct.applySymmetric(DenseVector a, SparseVector b) OoPlaceVectorsAddition.applySymmetric(DenseVector a, SparseVector b) -
Uses of SparseVector in org.la4j.vector
Methods in org.la4j.vector that return SparseVectorModifier and TypeMethodDescriptionstatic SparseVectorSparseVector.fromArray(double[] array) Creates a newSparseVectorfrom the givenarraywith compressing (copying) the underlying array.static SparseVectorSparseVector.fromCollection(Collection<? extends Number> list) Creates newSparseVectorfrom collectionstatic SparseVectorParsesSparseVectorfrom the given CSV string.static SparseVectorCreates newSparseVectorfrom given index-value mapstatic SparseVectorSparseVector.fromMatrixMarket(String mm) ParsesSparseVectorfrom the given Matrix Market string.static SparseVectorstatic SparseVectorSparseVector.zero(int length) Creates a zeroSparseVectorof the givenlength.static SparseVectorSparseVector.zero(int length, int capacity) -
Uses of SparseVector in org.la4j.vector.sparse
Subclasses of SparseVector in org.la4j.vector.sparseModifier and TypeClassDescriptionclassA basic sparse vector implementation using underlying value and index arrays.