Uses of Class
org.la4j.vector.DenseVector
Packages that use DenseVector
Package
Description
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Uses of DenseVector in org.la4j
Methods in org.la4j that return DenseVectorModifier and TypeMethodDescriptionVector.toDenseVector()Converts this vector into aDenseVector. -
Uses of DenseVector in org.la4j.operation
Methods in org.la4j.operation with parameters of type DenseVectorModifier and TypeMethodDescriptionCommonVectorOperation.apply(DenseVector a) CommonVectorVectorOperation.apply(DenseVector a, DenseVector b) CommonVectorVectorOperation.apply(DenseVector a, SparseVector b) CommonVectorVectorOperation.apply(SparseVector a, DenseVector b) abstract RMatrixVectorOperation.apply(ColumnMajorSparseMatrix a, DenseVector b) abstract RMatrixVectorOperation.apply(DenseMatrix a, DenseVector b) abstract RMatrixVectorOperation.apply(RowMajorSparseMatrix a, DenseVector b) SymmetricVectorVectorOperation.apply(DenseVector a, SparseVector b) SymmetricVectorVectorOperation.apply(SparseVector a, DenseVector b) abstract RVectorMatrixOperation.apply(DenseVector a, ColumnMajorSparseMatrix b) abstract RVectorMatrixOperation.apply(DenseVector a, DenseMatrix b) abstract RVectorMatrixOperation.apply(DenseVector a, RowMajorSparseMatrix b) abstract RVectorOperation.apply(DenseVector a) abstract RVectorVectorOperation.apply(DenseVector a, DenseVector b) abstract RVectorVectorOperation.apply(DenseVector a, SparseVector b) abstract RVectorVectorOperation.apply(SparseVector a, DenseVector b) abstract RSymmetricVectorVectorOperation.applySymmetric(DenseVector a, SparseVector b) VectorMatrixOperation.partiallyApply(DenseVector a) VectorVectorOperation.partiallyApply(DenseVector a) -
Uses of DenseVector in org.la4j.operation.ooplace
Methods in org.la4j.operation.ooplace with parameters of type DenseVectorModifier and TypeMethodDescriptionOoPlaceInnerProduct.apply(DenseVector a, DenseVector b) OoPlaceMatrixByVectorMultiplication.apply(ColumnMajorSparseMatrix a, DenseVector b) OoPlaceMatrixByVectorMultiplication.apply(DenseMatrix a, DenseVector b) OoPlaceMatrixByVectorMultiplication.apply(RowMajorSparseMatrix a, DenseVector b) OoPlaceOuterProduct.apply(DenseVector a, DenseVector b) OoPlaceOuterProduct.apply(DenseVector a, SparseVector b) OoPlaceOuterProduct.apply(SparseVector a, DenseVector b) OoPlaceVectorByMatrixMultiplication.apply(DenseVector a, ColumnMajorSparseMatrix b) OoPlaceVectorByMatrixMultiplication.apply(DenseVector a, DenseMatrix b) OoPlaceVectorByMatrixMultiplication.apply(DenseVector a, RowMajorSparseMatrix b) OoPlaceVectorHadamardProduct.apply(DenseVector a, DenseVector b) OoPlaceVectorsAddition.apply(DenseVector a, DenseVector b) OoPlaceVectorsSubtraction.apply(DenseVector a, DenseVector b) OoPlaceVectorsSubtraction.apply(DenseVector a, SparseVector b) OoPlaceVectorsSubtraction.apply(SparseVector a, DenseVector b) OoPlaceInnerProduct.applySymmetric(DenseVector a, SparseVector b) OoPlaceVectorHadamardProduct.applySymmetric(DenseVector a, SparseVector b) OoPlaceVectorsAddition.applySymmetric(DenseVector a, SparseVector b) -
Uses of DenseVector in org.la4j.vector
Methods in org.la4j.vector that return DenseVectorModifier and TypeMethodDescriptionstatic DenseVectorDenseVector.constant(int length, double value) static DenseVectorDenseVector.fromArray(double[] array) Creates a newDenseVectorfrom the givenarrayw/o copying the underlying array.static DenseVectorDenseVector.fromCollection(Collection<? extends Number> list) Creates newDenseVectorfromstatic DenseVectorParsesDenseVectorfrom the given CSV string.static DenseVectorCreates newDenseVectorfrom index-value mapstatic DenseVectorDenseVector.fromMatrixMarket(String mm) ParsesDenseVectorfrom the given Matrix Market string.static DenseVectorstatic DenseVectorDenseVector.unit(int length) Creates an unitDenseVectorof the givenlength.static DenseVectorDenseVector.zero(int length) Creates a zeroDenseVectorof the givenlength. -
Uses of DenseVector in org.la4j.vector.dense
Subclasses of DenseVector in org.la4j.vector.denseModifier and TypeClassDescriptionclassA basic dense vector implementation using an array.