SparseVector

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java.lang.Object
- org.biojava.nbio.structure.math.SparseVector

All Implemented Interfaces:

java.io.Serializable
```
public class SparseVector
extends java.lang.Object
implements java.io.Serializable
```
A sparse vector, implemented using a symbol table. Derived from http://introcs.cs.princeton.edu/java/44st/SparseVector.java.html For additional documentation, see Section 4.4 of Introduction to Programming in Java: An Interdisciplinary Approach by Robert Sedgewick and Kevin Wayne.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

SparseVector(int N)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`dot(SparseVector b)`	Calculates the dot product of this vector a with b
`double`	`get(int i)`	get a value
`int`	`nnz()`
`double`	`norm()`	Calculates the 2-norm
`SparseVector`	`plus(SparseVector b)`	Calcualtes return a + b
`void`	`put(int i, double value)`	Setter method (should it be renamed to set?)
`SparseVector`	`scale(double alpha)`	Calculates alpha * a
`int`	`size()`
`java.lang.String`	`toString()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - SparseVector
```
public SparseVector(int N)
```
    Constructor. initialize the all 0s vector of length N
    
    Parameters:
    
    N -
- Method Detail
  - put
```
public void put(int i,
                double value)
```
    Setter method (should it be renamed to set?)
    
    Parameters:
    
    i - set symbolTable[i]
    
    value -
  - get
```
public double get(int i)
```
    get a value
    
    Parameters:
    
    i -
    
    Returns:
    
    return symbolTable[i]
  - nnz
```
public int nnz()
```
  - size
```
public int size()
```
  - dot
```
public double dot(SparseVector b)
```
    Calculates the dot product of this vector a with b
    
    Parameters:
    
    b -
    
    Returns:
  - norm
```
public double norm()
```
    Calculates the 2-norm
    
    Returns:
  - scale
```
public SparseVector scale(double alpha)
```
    Calculates alpha * a
    
    Parameters:
    
    alpha -
    
    Returns:
  - plus
```
public SparseVector plus(SparseVector b)
```
    Calcualtes return a + b
    
    Parameters:
    
    b -
    
    Returns:
  - toString
```
public java.lang.String toString()
```
    Overrides:
    
    toString in class java.lang.Object

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