[
https://issues.apache.org/jira/browse/MATH-765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sébastien Brisard updated MATH-765:
-----------------------------------
Description:
{panel:title=Warning|borderStyle=solid}
This is not a bug report, but rather a summary of all discussions which have
taken place on the mailing list regarding the refactoring of the vector and
matrix classes. Indeed, it has been argued many times that the {{RealVector}}
and {{RealMatrix}} interfaces are really cluttered, and could benefit from
other approaches (like functional programming).
The description of this ticket will be updated as the discussion progresses on
the mailing-list, and new JIRA tickets will be created to carry out the "real"
work. {color:red}In order to keep this ticket tidy, contributors should refrain
from commenting on this website. Instead, messages should be posted on the dev
mailing-list{color}.
{panel}
h1. The current API (version 3.0)
In this section, the current interfaces for vectors and matrices are compared.
Vectors and matrices are two mathematical objects which are very close in
nature. Their implementations should therefore be as similar as possible. The
methods will be sorted as follows
* methods reflecting the mathematical structure of vector space: addition,
multiplication by a scalar, matrix-vector product, ...
* methods reflecting the mathematical structure of euclidean space
* ...
h2. Methods reflecting the mathematical structure of vector space
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}}
|| Comments ||
| {{RealVector add(RealVector v)}} | {{RealMatrix add(RealMatrix m)}}
| |
| {{RealVector subtract(RealVector v)}} | {{RealMatrix subtract(RealMatrix
m)}} | |
| {{int getDimension()}} | {{int getRowDimension()}},\\
{{int getColumnDimension()}} | |
| {{RealVector mapMultiply(double d)}} | {{scalarMultiply(double d)}}
| (1) |
| {{RealVector mapMultiplyToSelf(double d)}} |
| |
| {{RealVector outerProduct(RealVector v)}} |
| |
| | {{double getTrace()}}
| |
| | {{multiply(RealMatrix m)}}
| |
| | {{double[] operate(double[])}}
| (2) |
| | {{RealVector
operate(RealVector)}} | |
| | {{RealMatrix power(int p)}}
| |
| | {{double[]
preMultiply(double[])}} | (2) |
| | {{RealMatrix
preMultiply(RealMatrix)}} | |
| | {{RealVector
preMultiply(RealVector)}} | |
| | {{RealMatrix transpose()}}
| |
h3. Comments on the above methods
h4. Comment (1)
{{RealVector RealVector.mapMultiply(double)}} and {{RealMatrix
RealMatrix.scalarMultiply(double)}} perform essentially the same task.
Readibility of the classes would be improved if they add the same name. This is
very important since these methods reflect the fact that the space of vectors
as well as the space of matrices are two vector spaces.
h4. Comment (2)
Prior to the release of version 3.0, all methods taking as argument, or
returning, {{double[]}} as a representation of vectors were removed. The
rationale for this is that calling {{new ArrayRealVector(double[], false)}} is
very easy, and comes at virtually no cost (see MATH-653 and MATH-660). It might
be worth considering the same simplification for the {{RealMatrix}} interface.
h2. Methods reflecting the mathematical structure of euclidean space
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}} ||
Comments ||
| {{double cosine(RealVector v)}} | |
|
| {{double dotProduct(RealVector v)}} | | (3)
|
| {{double getDistance(RealVector v)}} | |
|
| {{double getNorm()}} | {{double getFrobeniusNorm()}} |
|
| {{RealVector projection(RealVector v)}} | |
|
| {{void unitize()}} | | (4)
|
| {{RealVector unitVector()}} | |
|
h3. Comments on the above methods
h4. Comment (3)
In a way, {{RealMatrix RealMatrix.transpose()}} could be seen as a method
inherent to the euclidean structure, and the generalization of the dot product.
For this reason, {{transpose()}} should probably _not_ be externalized.
h4. Comment (4)
This could be externalized with the visitor pattern (see below).
h4. Comment (5)
Could be externalized in a factory class.
h2. Constructors, factory methods and related methods
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}}
||
Comments ||
| {{RealVector append(double d)}} |
| |
| {{RealVector append(RealVector v)}} |
| |
| {{RealVector copy()}} | {{RealMatrix copy()}}
| |
| | {{void copySubMatrix(int[]
selectedRows, int[] selectedColumns, double[][] destination)}} |
(6), (7) |
| | {{void copySubMatrix(int
startRow, int endRow, int startColumn, int endColumn, double[][] destination)}}
| (7) |
| | {{createMatrix(int
rowDimension, int columnDimension)}}
| (9) |
| | {{double[] getColumn(int
column)}}
| (6) |
| | {{RealMatrix
getColumnMatrix(int column)}}
| |
| | {{RealVector
getColumnVector(int column)}}
| |
| | {{double[] getRow(int row)}}
|
(6) |
| | {{RealMatrix
getRowMatrix(int row)}}
| |
| | {{RealVector
getRowVector(int row)}}
| |
| | {{RealMatrix
getSubMatrix(int[] selectedRows, int[] selectedColumns)}}
| |
| {{RealVector getSubVector(int index, int n)}} | {{RealMatrix
getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)}}
| (8) |
| | {{void setColumn(int column,
double[] array)}} |
(6) |
| | {{void setColumnMatrix(int
column, RealMatrix matrix)}} |
|
| | {{void setColumnVector(int
column, RealVector vector)}} |
|
| | {{void setRow(int row,
double[] array)}}
| (6) |
| | {{void setRowMatrix(int row,
RealMatrix matrix)}} | |
| | {{void setRowVector(int row,
RealVector vector)}} | |
| {{void setSubVector(int index, RealVector v)}} | {{void
setSubMatrix(double[][] subMatrix, int row, int column)}}
| (6) |
| {{unmodifiableRealVector(RealVector v)}} |
| |
h3. Comments on the above methods
h4. Comment (6)
Prior to the release of version 3.0, all methods taking as argument, or
returning, {{double[]}} as a representation of vectors were removed. The
rationale for this is that calling {{new ArrayRealVector(double[], false)}} is
very easy, and comes at virtually no cost (see MATH-653 and MATH-660). It might
be worth considering the same simplification for the {{RealMatrix}} interface.
h4. Comment (7)
The signature of this method is rather unusual in Commons-Math, as one of the
parameters is modified, and nothing is returned.
h4. Comment (8)
Inconsistency: in {{getSubVector(int, int)}}, the second parameter is the
number of entries to be copied, while in {{getSubMatrix(int, int, int, int)}}
the second (resp. fourth) parameters are the indices of the last row (resp.
column).
h4. Comment (9)
This is a very useful method: one often needs to create a new vector/matrix
with same data layout as an existing vector/matrix. This method should probably
be generalized to {{RealVector}} as well.
h2. Manipulation of entries
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}}
|| Comments ||
| {{double getEntry(int index)}} | {{double getEntry(int row,
int column)}} | |
| {{void set(double value)}} |
| (10) |
| {{void setEntry(int index, double value)}} | {{void setEntry(int row,
int column, double value)}} | |
| {{void addToEntry(int index, double increment)}} | {{void addToEntry(int row,
int column, double increment)}} | (11) |
| | {{void multiplyEntry(int
row, int column, double factor)}} | (11) |
h3. Comments on these methods
h4. Comment (10)
This useful method could be extended to {{RealMatrix}} as well. However, it
could be argued that this method is superfluous, as the visitor pattern (or
indeed the {{mapToSelf()}} method) would do in this case.
h4. Comment (11)
These are typical examples of useful methods which can lead to uncontrolled
growth of the APIs.
h2. Various norms and related methods
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}} || Comments ||
| {{double getL1Distance(RealVector v)}} | | (13) |
| {{double getL1Norm()}} | | (12) |
| {{double getLInfDistance(RealVector v)}} | | (13) |
| {{double getLInfNorm()}} | {{double getNorm()}} | (12), (14)|
| {{int getMaxIndex()}} | | (12), (15)|
| {{double getMaxValue()}} | | (12), (15)|
| {{int getMinIndex()}} | | (12), (15)|
| {{int getMinValue()}} | | (12), (15)|
h3. Comments on these methods
h4. Comment (12)
This method could be removed from the {{RealVector}} API. Visitors should be
implemented instead.
h4. Comment (13)
This method could be removed from the {{RealVector}} API. Alternative
functional approach should be proposed (e.g.
[zip|http://stackoverflow.com/questions/1115563/what-is-zip-functional-programming]).
h4. Comment (14)
Inconsistencies: {{getNorm()}} does not refer to the same type of norm.
h4. Comment (15)
Methods {{int getXXXIndex()}} and {{double getXXXValue()}} could be merged, the
returned type might be a {{Pair<Integer, Double>}}. This would avoid
inefficient duplicate sweep of the vector if both the value and the index are
needed.
h2. Functional-programming-like methods
h3. List of the methods
The methods listed below are both "truly" FP methods, as well as methods which
could benefit from a FP approach.
|| {{RealVector}} ||
{{RealMatrix}} || Comments ||
| {{Iterator<RealVector.Entry> iterator()}} |
| |
| {{Iterator<RealVector.Entry> sparseIterator()}} |
| |
| {{RealVector map(UnivariateFunction function)}} |
| (18) |
| {{RealVector mapToSelf(UnivariateFunction function)}} |
| (18) |
| {{RealVector mapAdd(double d)}} | {{RealMatrix
scalarAdd(double d)}} | (16) |
| {{RealVector mapAddToSelf(double d)}} |
| (16) |
| {{RealVector mapDivide(double d)}} |
| (16) |
| {{RealVector mapDivideToSelf(double d)}} |
| (16) |
| {{RealVector mapSubtract(double d)}} |
| (16) |
| {{RealVector mapSubtractToSelf(double d)}} |
| (16) |
| {{RealVector ebeDivide(RealVector v)}} |
| (17) |
| {{RealVector ebeMultiply(RealVector v)}} |
| (17) |
| {{RealVector combine(double a, double b, RealVector y)}} |
| (17) |
| {{RealVector combineToSelf(double a, double b, RealVector y)}} |
| (17) |
| | {{double walkInColumnOrder(RealMatrixChangingVisitor visitor)}}
| (18) |
| | {{double walkInColumnOrder(RealMatrixChangingVisitor visitor, int startRow,
int endRow, int startColumn, int endColumn)}} | (18) |
| | {{double walkInColumnOrder(RealMatrixPreservingVisitor visitor)}}
| (18) |
| | {{double walkInColumnOrder(RealMatrixPreservingVisitor visitor, int
startRow, int endRow, int startColumn, int endColumn)}} | (18) |
| | {{double walkInOptimizedOrder(RealMatrixChangingVisitor visitor)}}
| (18) |
| | {{double walkInOptimizedOrder(RealMatrixChangingVisitor visitor, int
startRow, int endRow, int startColumn, int endColumn)}} | (18) |
| | {{double walkInOptimizedOrder(RealMatrixPreservingVisitor visitor)}}
| (18) |
| | {{double walkInOptimizedOrder(RealMatrixPreservingVisitor visitor, int
startRow, int endRow, int startColumn, int endColumn)}} | (18) |
| | {{double walkInRowOrder(RealMatrixChangingVisitor visitor)}}
| (18) |
| | {{double walkInRowOrder(RealMatrixChangingVisitor visitor, int startRow,
int endRow, int startColumn, int endColumn)}} | (18) |
| | {{double walkInRowOrder(RealMatrixPreservingVisitor visitor)}}
| (18) |
| | {{double walkInRowOrder(RealMatrixPreservingVisitor visitor, int startRow,
int endRow, int startColumn, int endColumn)}} | (18) |
h3. Comments on these methods
h4. Comment (16)
These methods could be removed, as a call to {{map()}}{{mapToSelf()}}.
h4. Comment (17)
These methods could benefit from a FP approach (e.g.
[zip|http://stackoverflow.com/questions/1115563/what-is-zip-functional-programming]).
h4. Comment (18)
{{map()}} and {{visit()}} are similar concepts, which are both useful. Should
{{map()}} be implemented for {{RealMatrix}}? Should {{visit()}} be implemented
for {{RealVector}}?
h2. Data conversion methods
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}} || Comments ||
| double[] toArray() | double[][] getData() | |
was:
{panel:title=Warning|borderStyle=solid}
This is not a bug report, but rather a summary of all discussions which have
taken place on the mailing list regarding the refactoring of the vector and
matrix classes. Indeed, it has been argued many times that the {{RealVector}}
and {{RealMatrix}} interfaces are really cluttered, and could benefit from
other approaches (like functional programming).
The description of this ticket will be updated as the discussion progresses on
the mailing-list, and new JIRA tickets will be created to carry out the "real"
work. {color:red}In order to keep this ticket tidy, contributors should refrain
from commenting on this website. Instead, messages should be posted on the dev
mailing-list{color}.
{panel}
h1. The current API (version 3.0)
In this section, the current interfaces for vectors and matrices are compared.
Vectors and matrices are two mathematical objects which are very close in
nature. Their implementations should therefore be as similar as possible. The
methods will be sorted as follows
* methods reflecting the mathematical structure of vector space: addition,
multiplication by a scalar, matrix-vector product, ...
* methods reflecting the mathematical structure of euclidean space
* ...
h2. Methods reflecting the mathematical structure of vector space
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}}
|| Comments ||
| {{RealVector add(RealVector v)}} | {{RealMatrix add(RealMatrix m)}}
| |
| {{int getDimension()}} | {{int getRowDimension()}},\\
{{int getColumnDimension()}} | |
| {{RealVector mapMultiply(double d)}} | {{scalarMultiply(double d)}}
| (1) |
| {{RealVector mapMultiplyToSelf(double d)}} |
| |
| {{RealVector outerProduct(RealVector v)}} |
| |
| | {{double getTrace()}}
| |
| | {{multiply(RealMatrix m)}}
| |
| | {{double[] operate(double[])}}
| (2) |
| | {{RealVector
operate(RealVector)}} | |
| | {{RealMatrix power(int p)}}
| |
| | {{double[]
preMultiply(double[])}} | (2) |
| | {{RealMatrix
preMultiply(RealMatrix)}} | |
| | {{RealVector
preMultiply(RealVector)}} | |
| | {{RealMatrix transpose()}}
| |
h3. Comments on the above methods
h4. Comment (1)
{{RealVector RealVector.mapMultiply(double)}} and {{RealMatrix
RealMatrix.scalarMultiply(double)}} perform essentially the same task.
Readibility of the classes would be improved if they add the same name. This is
very important since these methods reflect the fact that the space of vectors
as well as the space of matrices are two vector spaces.
h4. Comment (2)
Prior to the release of version 3.0, all methods taking as argument, or
returning, {{double[]}} as a representation of vectors were removed. The
rationale for this is that calling {{new ArrayRealVector(double[], false)}} is
very easy, and comes at virtually no cost (see MATH-653 and MATH-660). It might
be worth considering the same simplification for the {{RealMatrix}} interface.
h2. Methods reflecting the mathematical structure of euclidean space
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}} ||
Comments ||
| {{double cosine(RealVector v)}} | |
|
| {{double dotProduct(RealVector v)}} | | (3)
|
| {{double getDistance(RealVector v)}} | |
|
| {{double getNorm()}} | {{double getFrobeniusNorm()}} |
|
| {{RealVector projection(RealVector v)}} | |
|
| {{void unitize()}} | | (4)
|
| {{RealVector unitVector()}} | |
|
h3. Comments on the above methods
h4. Comment (3)
In a way, {{RealMatrix RealMatrix.transpose()}} could be seen as a method
inherent to the euclidean structure, and the generalization of the dot product.
For this reason, {{transpose()}} should probably _not_ be externalized.
h4. Comment (4)
This could be externalized with the visitor pattern (see below).
h4. Comment (5)
Could be externalized in a factory class.
h2. Constructors, factory methods and related methods
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}}
||
Comments ||
| {{RealVector append(double d)}} |
| |
| {{RealVector append(RealVector v)}} |
| |
| {{RealVector copy()}} | {{RealMatrix copy()}}
| |
| | {{void copySubMatrix(int[]
selectedRows, int[] selectedColumns, double[][] destination)}} |
(6), (7) |
| | {{void copySubMatrix(int
startRow, int endRow, int startColumn, int endColumn, double[][] destination)}}
| (7) |
| | {{createMatrix(int
rowDimension, int columnDimension)}}
| (9) |
| | {{double[] getColumn(int
column)}}
| (6) |
| | {{RealMatrix
getColumnMatrix(int column)}}
| |
| | {{RealVector
getColumnVector(int column)}}
| |
| | {{double[] getRow(int row)}}
|
(6) |
| | {{RealMatrix
getRowMatrix(int row)}}
| |
| | {{RealVector
getRowVector(int row)}}
| |
| | {{RealMatrix
getSubMatrix(int[] selectedRows, int[] selectedColumns)}}
| |
| {{RealVector getSubVector(int index, int n)}} | {{RealMatrix
getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)}}
| (8) |
| | {{void setColumn(int column,
double[] array)}} |
(6) |
| | {{void setColumnMatrix(int
column, RealMatrix matrix)}} |
|
| | {{void setColumnVector(int
column, RealVector vector)}} |
|
| | {{void setRow(int row,
double[] array)}}
| (6) |
| | {{void setRowMatrix(int row,
RealMatrix matrix)}} | |
| | {{void setRowVector(int row,
RealVector vector)}} | |
| {{void setSubVector(int index, RealVector v)}} | {{void
setSubMatrix(double[][] subMatrix, int row, int column)}}
| (6) |
| {{unmodifiableRealVector(RealVector v)}} |
| |
h3. Comments on the above methods
h4. Comment (6)
Prior to the release of version 3.0, all methods taking as argument, or
returning, {{double[]}} as a representation of vectors were removed. The
rationale for this is that calling {{new ArrayRealVector(double[], false)}} is
very easy, and comes at virtually no cost (see MATH-653 and MATH-660). It might
be worth considering the same simplification for the {{RealMatrix}} interface.
h4. Comment (7)
The signature of this method is rather unusual in Commons-Math, as one of the
parameters is modified, and nothing is returned.
h4. Comment (8)
Inconsistency: in {{getSubVector(int, int)}}, the second parameter is the
number of entries to be copied, while in {{getSubMatrix(int, int, int, int)}}
the second (resp. fourth) parameters are the indices of the last row (resp.
column).
h4. Comment (9)
This is a very useful method: one often needs to create a new vector/matrix
with same data layout as an existing vector/matrix. This method should probably
be generalized to {{RealVector}} as well.
h2. Manipulation of entries
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}}
|| Comments ||
| {{double getEntry(int index)}} | {{double getEntry(int row,
int column)}} | |
| {{void set(double value)}} |
| (10) |
| {{void setEntry(int index, double value)}} | {{void setEntry(int row,
int column, double value)}} | |
| {{void addToEntry(int index, double increment)}} | {{void addToEntry(int row,
int column, double increment)}} | (11) |
| | {{void multiplyEntry(int
row, int column, double factor)}} | (11) |
h3. Comments on these methods
h4. Comment (10)
This useful method could be extended to {{RealMatrix}} as well. However, it
could be argued that this method is superfluous, as the visitor pattern (or
indeed the {{mapToSelf()}} method) would do in this case.
h4. Comment (11)
These are typical examples of useful methods which can lead to uncontrolled
growth of the APIs.
h2. Various norms and related methods
h3. List of the methods
|| {{RealVector}} || {{RealMatrix}} || Comments ||
| {{double getL1Distance(RealVector v)}} | | (13) |
| {{double getL1Norm()}} | | (12) |
| {{double getLInfDistance(RealVector v)}} | | (13) |
| {{double getLInfNorm()}} | {{double getNorm()}} | (12), (14)|
| {{int getMaxIndex()}} | | (12), (15)|
| {{double getMaxValue()}} | | (12), (15)|
| {{int getMinIndex()}} | | (12), (15)|
| {{int getMinValue()}} | | (12), (15)|
h3. Comments on these methods
h4. Comment (12)
This method could be removed from the {{RealVector}} API. Visitors should be
implemented instead.
h4. Comment (13)
This method could be removed from the {{RealVector}} API. Alternative
functional approach should be proposed (e.g.
[zip|http://stackoverflow.com/questions/1115563/what-is-zip-functional-programming]).
h4. Comment (14)
Inconsistencies: {{getNorm()}} does not refer to the same type of norm.
h4. Comment (15)
Methods {{int getXXXIndex()}} and {{double getXXXValue()}} could be merged, the
returned type might be a {{Pair<Integer, Double>}}. This would avoid
inefficient duplicate sweep of the vector if both the value and the index are
needed.
h2. Functional-programming-like methods
> Refactoring the vector and matrix classes
> -----------------------------------------
>
> Key: MATH-765
> URL: https://issues.apache.org/jira/browse/MATH-765
> Project: Commons Math
> Issue Type: Improvement
> Affects Versions: 4.0
> Reporter: Sébastien Brisard
> Labels: api-change, linear
>
> {panel:title=Warning|borderStyle=solid}
> This is not a bug report, but rather a summary of all discussions which have
> taken place on the mailing list regarding the refactoring of the vector and
> matrix classes. Indeed, it has been argued many times that the {{RealVector}}
> and {{RealMatrix}} interfaces are really cluttered, and could benefit from
> other approaches (like functional programming).
> The description of this ticket will be updated as the discussion progresses
> on the mailing-list, and new JIRA tickets will be created to carry out the
> "real" work. {color:red}In order to keep this ticket tidy, contributors
> should refrain from commenting on this website. Instead, messages should be
> posted on the dev mailing-list{color}.
> {panel}
> h1. The current API (version 3.0)
> In this section, the current interfaces for vectors and matrices are
> compared. Vectors and matrices are two mathematical objects which are very
> close in nature. Their implementations should therefore be as similar as
> possible. The methods will be sorted as follows
> * methods reflecting the mathematical structure of vector space: addition,
> multiplication by a scalar, matrix-vector product, ...
> * methods reflecting the mathematical structure of euclidean space
> * ...
> h2. Methods reflecting the mathematical structure of vector space
> h3. List of the methods
> || {{RealVector}} || {{RealMatrix}}
> || Comments ||
> | {{RealVector add(RealVector v)}} | {{RealMatrix add(RealMatrix
> m)}} | |
> | {{RealVector subtract(RealVector v)}} | {{RealMatrix
> subtract(RealMatrix m)}} | |
> | {{int getDimension()}} | {{int getRowDimension()}},\\
> {{int getColumnDimension()}} | |
> | {{RealVector mapMultiply(double d)}} | {{scalarMultiply(double d)}}
> | (1) |
> | {{RealVector mapMultiplyToSelf(double d)}} |
> | |
> | {{RealVector outerProduct(RealVector v)}} |
> | |
> | | {{double getTrace()}}
> | |
> | | {{multiply(RealMatrix m)}}
> | |
> | | {{double[] operate(double[])}}
> | (2) |
> | | {{RealVector
> operate(RealVector)}} | |
> | | {{RealMatrix power(int p)}}
> | |
> | | {{double[]
> preMultiply(double[])}} | (2) |
> | | {{RealMatrix
> preMultiply(RealMatrix)}} | |
> | | {{RealVector
> preMultiply(RealVector)}} | |
> | | {{RealMatrix transpose()}}
> | |
> h3. Comments on the above methods
> h4. Comment (1)
> {{RealVector RealVector.mapMultiply(double)}} and {{RealMatrix
> RealMatrix.scalarMultiply(double)}} perform essentially the same task.
> Readibility of the classes would be improved if they add the same name. This
> is very important since these methods reflect the fact that the space of
> vectors as well as the space of matrices are two vector spaces.
> h4. Comment (2)
> Prior to the release of version 3.0, all methods taking as argument, or
> returning, {{double[]}} as a representation of vectors were removed. The
> rationale for this is that calling {{new ArrayRealVector(double[], false)}}
> is very easy, and comes at virtually no cost (see MATH-653 and MATH-660). It
> might be worth considering the same simplification for the {{RealMatrix}}
> interface.
> h2. Methods reflecting the mathematical structure of euclidean space
> h3. List of the methods
> || {{RealVector}} || {{RealMatrix}} ||
> Comments ||
> | {{double cosine(RealVector v)}} | |
> |
> | {{double dotProduct(RealVector v)}} | |
> (3) |
> | {{double getDistance(RealVector v)}} | |
> |
> | {{double getNorm()}} | {{double getFrobeniusNorm()}} |
> |
> | {{RealVector projection(RealVector v)}} | |
> |
> | {{void unitize()}} | |
> (4) |
> | {{RealVector unitVector()}} | |
> |
> h3. Comments on the above methods
> h4. Comment (3)
> In a way, {{RealMatrix RealMatrix.transpose()}} could be seen as a method
> inherent to the euclidean structure, and the generalization of the dot
> product. For this reason, {{transpose()}} should probably _not_ be
> externalized.
> h4. Comment (4)
> This could be externalized with the visitor pattern (see below).
> h4. Comment (5)
> Could be externalized in a factory class.
> h2. Constructors, factory methods and related methods
> h3. List of the methods
> || {{RealVector}} || {{RealMatrix}}
>
> || Comments ||
> | {{RealVector append(double d)}} |
>
> | |
> | {{RealVector append(RealVector v)}} |
>
> | |
> | {{RealVector copy()}} | {{RealMatrix copy()}}
>
> | |
> | | {{void copySubMatrix(int[]
> selectedRows, int[] selectedColumns, double[][] destination)}}
> | (6), (7) |
> | | {{void copySubMatrix(int
> startRow, int endRow, int startColumn, int endColumn, double[][]
> destination)}} | (7) |
> | | {{createMatrix(int
> rowDimension, int columnDimension)}}
> | (9) |
> | | {{double[] getColumn(int
> column)}}
> | (6) |
> | | {{RealMatrix
> getColumnMatrix(int column)}}
> | |
> | | {{RealVector
> getColumnVector(int column)}}
> | |
> | | {{double[] getRow(int
> row)}}
> | (6) |
> | | {{RealMatrix
> getRowMatrix(int row)}}
> | |
> | | {{RealVector
> getRowVector(int row)}}
> | |
> | | {{RealMatrix
> getSubMatrix(int[] selectedRows, int[] selectedColumns)}}
> | |
> | {{RealVector getSubVector(int index, int n)}} | {{RealMatrix
> getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)}}
> | (8) |
> | | {{void setColumn(int
> column, double[] array)}}
> | (6) |
> | | {{void setColumnMatrix(int
> column, RealMatrix matrix)}}
> | |
> | | {{void setColumnVector(int
> column, RealVector vector)}}
> | |
> | | {{void setRow(int row,
> double[] array)}}
> | (6) |
> | | {{void setRowMatrix(int
> row, RealMatrix matrix)}}
> | |
> | | {{void setRowVector(int
> row, RealVector vector)}}
> | |
> | {{void setSubVector(int index, RealVector v)}} | {{void
> setSubMatrix(double[][] subMatrix, int row, int column)}}
> | (6) |
> | {{unmodifiableRealVector(RealVector v)}} |
>
> | |
> h3. Comments on the above methods
> h4. Comment (6)
> Prior to the release of version 3.0, all methods taking as argument, or
> returning, {{double[]}} as a representation of vectors were removed. The
> rationale for this is that calling {{new ArrayRealVector(double[], false)}}
> is very easy, and comes at virtually no cost (see MATH-653 and MATH-660). It
> might be worth considering the same simplification for the {{RealMatrix}}
> interface.
> h4. Comment (7)
> The signature of this method is rather unusual in Commons-Math, as one of the
> parameters is modified, and nothing is returned.
> h4. Comment (8)
> Inconsistency: in {{getSubVector(int, int)}}, the second parameter is the
> number of entries to be copied, while in {{getSubMatrix(int, int, int, int)}}
> the second (resp. fourth) parameters are the indices of the last row (resp.
> column).
> h4. Comment (9)
> This is a very useful method: one often needs to create a new vector/matrix
> with same data layout as an existing vector/matrix. This method should
> probably be generalized to {{RealVector}} as well.
> h2. Manipulation of entries
> h3. List of the methods
> || {{RealVector}} || {{RealMatrix}}
> || Comments ||
> | {{double getEntry(int index)}} | {{double getEntry(int
> row, int column)}} | |
> | {{void set(double value)}} |
> | (10) |
> | {{void setEntry(int index, double value)}} | {{void setEntry(int row,
> int column, double value)}} | |
> | {{void addToEntry(int index, double increment)}} | {{void addToEntry(int
> row, int column, double increment)}} | (11) |
> | | {{void multiplyEntry(int
> row, int column, double factor)}} | (11) |
> h3. Comments on these methods
> h4. Comment (10)
> This useful method could be extended to {{RealMatrix}} as well. However, it
> could be argued that this method is superfluous, as the visitor pattern (or
> indeed the {{mapToSelf()}} method) would do in this case.
> h4. Comment (11)
> These are typical examples of useful methods which can lead to uncontrolled
> growth of the APIs.
> h2. Various norms and related methods
> h3. List of the methods
> || {{RealVector}} || {{RealMatrix}} || Comments
> ||
> | {{double getL1Distance(RealVector v)}} | | (13)
> |
> | {{double getL1Norm()}} | | (12)
> |
> | {{double getLInfDistance(RealVector v)}} | | (13)
> |
> | {{double getLInfNorm()}} | {{double getNorm()}} | (12),
> (14)|
> | {{int getMaxIndex()}} | | (12),
> (15)|
> | {{double getMaxValue()}} | | (12),
> (15)|
> | {{int getMinIndex()}} | | (12),
> (15)|
> | {{int getMinValue()}} | | (12),
> (15)|
> h3. Comments on these methods
> h4. Comment (12)
> This method could be removed from the {{RealVector}} API. Visitors should be
> implemented instead.
> h4. Comment (13)
> This method could be removed from the {{RealVector}} API. Alternative
> functional approach should be proposed (e.g.
> [zip|http://stackoverflow.com/questions/1115563/what-is-zip-functional-programming]).
> h4. Comment (14)
> Inconsistencies: {{getNorm()}} does not refer to the same type of norm.
> h4. Comment (15)
> Methods {{int getXXXIndex()}} and {{double getXXXValue()}} could be merged,
> the returned type might be a {{Pair<Integer, Double>}}. This would avoid
> inefficient duplicate sweep of the vector if both the value and the index are
> needed.
> h2. Functional-programming-like methods
> h3. List of the methods
> The methods listed below are both "truly" FP methods, as well as methods
> which could benefit from a FP approach.
> || {{RealVector}} ||
> {{RealMatrix}} || Comments ||
> | {{Iterator<RealVector.Entry> iterator()}} |
> | |
> | {{Iterator<RealVector.Entry> sparseIterator()}} |
> | |
> | {{RealVector map(UnivariateFunction function)}} |
> | (18) |
> | {{RealVector mapToSelf(UnivariateFunction function)}} |
> | (18) |
> | {{RealVector mapAdd(double d)}} |
> {{RealMatrix scalarAdd(double d)}} | (16) |
> | {{RealVector mapAddToSelf(double d)}} |
> | (16) |
> | {{RealVector mapDivide(double d)}} |
> | (16) |
> | {{RealVector mapDivideToSelf(double d)}} |
> | (16) |
> | {{RealVector mapSubtract(double d)}} |
> | (16) |
> | {{RealVector mapSubtractToSelf(double d)}} |
> | (16) |
> | {{RealVector ebeDivide(RealVector v)}} |
> | (17) |
> | {{RealVector ebeMultiply(RealVector v)}} |
> | (17) |
> | {{RealVector combine(double a, double b, RealVector y)}} |
> | (17) |
> | {{RealVector combineToSelf(double a, double b, RealVector y)}} |
> | (17) |
> | | {{double walkInColumnOrder(RealMatrixChangingVisitor visitor)}}
> | (18) |
> | | {{double walkInColumnOrder(RealMatrixChangingVisitor visitor, int
> startRow, int endRow, int startColumn, int endColumn)}} | (18) |
> | | {{double walkInColumnOrder(RealMatrixPreservingVisitor visitor)}}
> | (18) |
> | | {{double walkInColumnOrder(RealMatrixPreservingVisitor visitor, int
> startRow, int endRow, int startColumn, int endColumn)}} | (18) |
> | | {{double walkInOptimizedOrder(RealMatrixChangingVisitor visitor)}}
> | (18) |
> | | {{double walkInOptimizedOrder(RealMatrixChangingVisitor visitor, int
> startRow, int endRow, int startColumn, int endColumn)}} | (18) |
> | | {{double walkInOptimizedOrder(RealMatrixPreservingVisitor visitor)}}
> | (18) |
> | | {{double walkInOptimizedOrder(RealMatrixPreservingVisitor visitor, int
> startRow, int endRow, int startColumn, int endColumn)}} | (18) |
> | | {{double walkInRowOrder(RealMatrixChangingVisitor visitor)}}
> | (18) |
> | | {{double walkInRowOrder(RealMatrixChangingVisitor visitor, int startRow,
> int endRow, int startColumn, int endColumn)}} | (18) |
> | | {{double walkInRowOrder(RealMatrixPreservingVisitor visitor)}}
> | (18) |
> | | {{double walkInRowOrder(RealMatrixPreservingVisitor visitor, int
> startRow, int endRow, int startColumn, int endColumn)}} | (18) |
> h3. Comments on these methods
> h4. Comment (16)
> These methods could be removed, as a call to {{map()}}{{mapToSelf()}}.
> h4. Comment (17)
> These methods could benefit from a FP approach (e.g.
> [zip|http://stackoverflow.com/questions/1115563/what-is-zip-functional-programming]).
> h4. Comment (18)
> {{map()}} and {{visit()}} are similar concepts, which are both useful. Should
> {{map()}} be implemented for {{RealMatrix}}? Should {{visit()}} be
> implemented for {{RealVector}}?
> h2. Data conversion methods
> h3. List of the methods
> || {{RealVector}} || {{RealMatrix}} || Comments ||
> | double[] toArray() | double[][] getData() | |
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators:
https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa
For more information on JIRA, see: http://www.atlassian.com/software/jira