public final class ObjectArrays
extends java.lang.Object
ensureCapacity()
, grow()
, trim()
and setLength()
methods allow to handle arrays much like array lists.
This can be very useful when efficiency (or syntactic simplicity) reasons
make array lists unsuitable.
Warning: if your array is not of type Object[]
,
ensureCapacity(Object[],int,int)
and grow(Object[],int,int)
will use reflection to preserve your array type. Reflection is significantly
slower than using new
. This phenomenon is particularly evident
in the first growth phases of an array reallocated with doubling (or similar)
logic.
There are several sorting methods available. The main theme is that of letting you choose the sorting algorithm you prefer (i.e., trading stability of mergesort for no memory allocation in quicksort). Several algorithms provide a parallel version, that will use the number of cores available.
All comparisonbased algorithm have an implementation based on a typespecific comparator.
If you are fine with not knowing exactly which algorithm will be run (in
particular, not knowing exactly whether a support array will be allocated),
the dualpivot parallel sorts in Arrays
are about 50%
faster than the classical singlepivot implementation used here.
In any case, if sorting time is important I suggest that you benchmark your sorting load with your data distribution and on your architecture.
Arrays
Modifier and Type  Field and Description 

static java.lang.Object[] 
EMPTY_ARRAY
A static, final, empty array.

static Hash.Strategy 
HASH_STRATEGY
A typespecific contentbased hash strategy for arrays.

Modifier and Type  Method and Description 

static <K> int 
binarySearch(K[] a,
int from,
int to,
K key)
Searches a range of the specified array for the specified value using the
binary search algorithm.

static <K> int 
binarySearch(K[] a,
int from,
int to,
K key,
java.util.Comparator<K> c)
Searches a range of the specified array for the specified value using the
binary search algorithm and a specified comparator.

static <K> int 
binarySearch(K[] a,
K key)
Searches an array for the specified value using the binary search algorithm.

static <K> int 
binarySearch(K[] a,
K key,
java.util.Comparator<K> c)
Searches an array for the specified value using the binary search algorithm
and a specified comparator.

static <K> K[] 
copy(K[] array)
Returns a copy of an array.

static <K> K[] 
copy(K[] array,
int offset,
int length)
Returns a copy of a portion of an array.

static <K> K[] 
ensureCapacity(K[] array,
int length)
Ensures that an array can contain the given number of entries.

static <K> K[] 
ensureCapacity(K[] array,
int length,
int preserve)
Ensures that an array can contain the given number of entries, preserving
just a part of the array.

static <K> void 
ensureFromTo(K[] a,
int from,
int to)
Ensures that a range given by its first (inclusive) and last (exclusive)
elements fits an array.

static <K> void 
ensureOffsetLength(K[] a,
int offset,
int length)
Ensures that a range given by an offset and a length fits an array.

static <K> void 
ensureSameLength(K[] a,
K[] b)
Ensures that two arrays are of the same length.

static <K> boolean 
equals(K[] a1,
K[] a2)
Deprecated.
Please use the corresponding
Arrays method,
which is intrinsified in recent JVMs. 
static <K> void 
fill(K[] array,
int from,
int to,
K value)
Deprecated.
Please use the corresponding
Arrays method. 
static <K> void 
fill(K[] array,
K value)
Deprecated.
Please use the corresponding
Arrays method. 
static <K> K[] 
grow(K[] array,
int length)
Grows the given array to the maximum between the given length and the current
length multiplied by two, provided that the given length is larger than the
current length.

static <K> K[] 
grow(K[] array,
int length,
int preserve)
Grows the given array to the maximum between the given length and the current
length multiplied by two, provided that the given length is larger than the
current length, preserving just a part of the array.

static <K> void 
mergeSort(K[] a)
Sorts an array according to the natural ascending order using mergesort.

static <K> void 
mergeSort(K[] a,
java.util.Comparator<K> comp)
Sorts an array according to the order induced by the specified comparator
using mergesort.

static <K> void 
mergeSort(K[] a,
int from,
int to)
Sorts the specified range of elements according to the natural ascending
order using mergesort.

static <K> void 
mergeSort(K[] a,
int from,
int to,
java.util.Comparator<K> comp)
Sorts the specified range of elements according to the order induced by the
specified comparator using mergesort.

static <K> void 
mergeSort(K[] a,
int from,
int to,
java.util.Comparator<K> comp,
K[] supp)
Sorts the specified range of elements according to the order induced by the
specified comparator using mergesort, using a given prefilled support array.

static <K> void 
mergeSort(K[] a,
int from,
int to,
K[] supp)
Sorts the specified range of elements according to the natural ascending
order using mergesort, using a given prefilled support array.

static <K> void 
parallelQuickSort(K[] x)
Sorts an array according to the natural ascending order using a parallel
quicksort.

static <K> void 
parallelQuickSort(K[] x,
java.util.Comparator<K> comp)
Sorts an array according to the order induced by the specified comparator
using a parallel quicksort.

static <K> void 
parallelQuickSort(K[] x,
int from,
int to)
Sorts the specified range of elements according to the natural ascending
order using a parallel quicksort.

static <K> void 
parallelQuickSort(K[] x,
int from,
int to,
java.util.Comparator<K> comp)
Sorts the specified range of elements according to the order induced by the
specified comparator using a parallel quicksort.

static <K> void 
parallelQuickSort(K[] x,
K[] y)
Sorts two arrays according to the natural lexicographical ascending order
using a parallel quicksort.

static <K> void 
parallelQuickSort(K[] x,
K[] y,
int from,
int to)
Sorts the specified range of elements of two arrays according to the natural
lexicographical ascending order using a parallel quicksort.

static <K> void 
parallelQuickSortIndirect(int[] perm,
K[] x)
Sorts an array according to the natural ascending order using a parallel
indirect quicksort.

static <K> void 
parallelQuickSortIndirect(int[] perm,
K[] x,
int from,
int to)
Sorts the specified range of elements according to the natural ascending
order using a parallel indirect quicksort.

static <K> void 
quickSort(K[] x)
Sorts an array according to the natural ascending order using quicksort.

static <K> void 
quickSort(K[] x,
java.util.Comparator<K> comp)
Sorts an array according to the order induced by the specified comparator
using quicksort.

static <K> void 
quickSort(K[] x,
int from,
int to)
Sorts the specified range of elements according to the natural ascending
order using quicksort.

static <K> void 
quickSort(K[] x,
int from,
int to,
java.util.Comparator<K> comp)
Sorts the specified range of elements according to the order induced by the
specified comparator using quicksort.

static <K> void 
quickSort(K[] x,
K[] y)
Sorts two arrays according to the natural lexicographical ascending order
using quicksort.

static <K> void 
quickSort(K[] x,
K[] y,
int from,
int to)
Sorts the specified range of elements of two arrays according to the natural
lexicographical ascending order using quicksort.

static <K> void 
quickSortIndirect(int[] perm,
K[] x)
Sorts an array according to the natural ascending order using indirect
quicksort.

static <K> void 
quickSortIndirect(int[] perm,
K[] x,
int from,
int to)
Sorts the specified range of elements according to the natural ascending
order using indirect quicksort.

static <K> K[] 
reverse(K[] a)
Reverses the order of the elements in the specified array.

static <K> K[] 
reverse(K[] a,
int from,
int to)
Reverses the order of the elements in the specified array fragment.

static <K> K[] 
setLength(K[] array,
int length)
Sets the length of the given array.

static <K> K[] 
shuffle(K[] a,
int from,
int to,
java.util.Random random)
Shuffles the specified array fragment using the specified pseudorandom number
generator.

static <K> K[] 
shuffle(K[] a,
java.util.Random random)
Shuffles the specified array using the specified pseudorandom number
generator.

static <K> void 
stabilize(int[] perm,
K[] x)
Stabilizes a permutation.

static <K> void 
stabilize(int[] perm,
K[] x,
int from,
int to)
Stabilizes a permutation.

static <K> void 
swap(K[] x,
int a,
int b)
Swaps two elements of an anrray.

static <K> void 
swap(K[] x,
int a,
int b,
int n)
Swaps two sequences of elements of an array.

static <K> K[] 
trim(K[] array,
int length)
Trims the given array to the given length.

public static final java.lang.Object[] EMPTY_ARRAY
public static final Hash.Strategy HASH_STRATEGY
This hash strategy may be used in custom hash collections whenever keys are
arrays, and they must be considered equal by content. This strategy will
handle null
correctly, and it is serializable.
public static <K> K[] ensureCapacity(K[] array, int length)
If you cannot foresee whether this array will need again to be enlarged, you
should probably use grow()
instead.
array
 an array.length
 the new minimum length for this array.array
, if it contains length
entries or more;
otherwise, an array with length
entries whose first
array.length
entries are the same as those of array
.public static <K> K[] ensureCapacity(K[] array, int length, int preserve)
array
 an array.length
 the new minimum length for this array.preserve
 the number of elements of the array that must be preserved in case
a new allocation is necessary.array
, if it can contain length
entries or more;
otherwise, an array with length
entries whose first
preserve
entries are the same as those of array
.public static <K> K[] grow(K[] array, int length)
If you want complete control on the array growth, you should probably use
ensureCapacity()
instead.
array
 an array.length
 the new minimum length for this array.array
, if it can contain length
entries; otherwise,
an array with max(length
,array.length
/φ) entries
whose first array.length
entries are the same as those of
array
.public static <K> K[] grow(K[] array, int length, int preserve)
If you want complete control on the array growth, you should probably use
ensureCapacity()
instead.
array
 an array.length
 the new minimum length for this array.preserve
 the number of elements of the array that must be preserved in case
a new allocation is necessary.array
, if it can contain length
entries; otherwise,
an array with max(length
,array.length
/φ) entries
whose first preserve
entries are the same as those of
array
.public static <K> K[] trim(K[] array, int length)
array
 an array.length
 the new maximum length for the array.array
, if it contains length
entries or less;
otherwise, an array with length
entries whose entries are the
same as the first length
entries of array
.public static <K> K[] setLength(K[] array, int length)
array
 an array.length
 the new length for the array.array
, if it contains exactly length
entries;
otherwise, if it contains more than length
entries,
an array with length
entries whose entries are the same as
the first length
entries of array
; otherwise, an
array with length
entries whose first array.length
entries are the same as those of array
.public static <K> K[] copy(K[] array, int offset, int length)
array
 an array.offset
 the first element to copy.length
 the number of elements to copy.length
elements of array
starting at offset
.public static <K> K[] copy(K[] array)
array
 an array.array
.@Deprecated public static <K> void fill(K[] array, K value)
Arrays
method.array
 an array.value
 the new value for all elements of the array.@Deprecated public static <K> void fill(K[] array, int from, int to, K value)
Arrays
method.array
 an array.from
 the starting index of the portion to fill (inclusive).to
 the end index of the portion to fill (exclusive).value
 the new value for all elements of the specified portion of the
array.@Deprecated public static <K> boolean equals(K[] a1, K[] a2)
Arrays
method,
which is intrinsified in recent JVMs.a1
 an array.a2
 another array.public static <K> void ensureFromTo(K[] a, int from, int to)
This method may be used whenever an array range check is needed.
a
 an array.from
 a start index (inclusive).to
 an end index (exclusive).java.lang.IllegalArgumentException
 if from
is greater than to
.java.lang.ArrayIndexOutOfBoundsException
 if from
or to
are greater than the array length
or negative.public static <K> void ensureOffsetLength(K[] a, int offset, int length)
This method may be used whenever an array range check is needed.
a
 an array.offset
 a start index.length
 a length (the number of elements in the range).java.lang.IllegalArgumentException
 if length
is negative.java.lang.ArrayIndexOutOfBoundsException
 if offset
is negative or offset
+length
is
greater than the array length.public static <K> void ensureSameLength(K[] a, K[] b)
a
 an array.b
 another array.java.lang.IllegalArgumentException
 if the two argument arrays are not of the same length.public static <K> void swap(K[] x, int a, int b)
x
 an array.a
 a position in x
.b
 another position in x
.public static <K> void swap(K[] x, int a, int b, int n)
x
 an array.a
 a position in x
.b
 another position in x
.n
 the number of elements to exchange starting at a
and
b
.public static <K> void quickSort(K[] x, int from, int to, java.util.Comparator<K> comp)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
Note that this implementation does not allocate any object, contrarily to the
implementation used to sort primitive types in Arrays
,
which switches to mergesort on large inputs.
x
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.comp
 the comparator to determine the sorting order.public static <K> void quickSort(K[] x, java.util.Comparator<K> comp)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
Note that this implementation does not allocate any object, contrarily to the
implementation used to sort primitive types in Arrays
,
which switches to mergesort on large inputs.
x
 the array to be sorted.comp
 the comparator to determine the sorting order.public static <K> void parallelQuickSort(K[] x, int from, int to, java.util.Comparator<K> comp)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
x
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.comp
 the comparator to determine the sorting order.public static <K> void parallelQuickSort(K[] x, java.util.Comparator<K> comp)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
x
 the array to be sorted.comp
 the comparator to determine the sorting order.public static <K> void quickSort(K[] x, int from, int to)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
Note that this implementation does not allocate any object, contrarily to the
implementation used to sort primitive types in Arrays
,
which switches to mergesort on large inputs.
x
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.public static <K> void quickSort(K[] x)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
Note that this implementation does not allocate any object, contrarily to the
implementation used to sort primitive types in Arrays
,
which switches to mergesort on large inputs.
x
 the array to be sorted.public static <K> void parallelQuickSort(K[] x, int from, int to)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
x
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.public static <K> void parallelQuickSort(K[] x)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
x
 the array to be sorted.public static <K> void quickSortIndirect(int[] perm, K[] x, int from, int to)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implement an indirect sort. The elements of perm
(which must be exactly the numbers in the interval [0..perm.length)
)
will be permuted so that x[perm[i]] ≤ x[perm[i + 1]]
.
Note that this implementation does not allocate any object, contrarily to the
implementation used to sort primitive types in Arrays
,
which switches to mergesort on large inputs.
perm
 a permutation array indexing x
.x
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.public static <K> void quickSortIndirect(int[] perm, K[] x)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implement an indirect sort. The elements of perm
(which must be exactly the numbers in the interval [0..perm.length)
)
will be permuted so that x[perm[i]] ≤ x[perm[i + 1]]
.
Note that this implementation does not allocate any object, contrarily to the
implementation used to sort primitive types in Arrays
,
which switches to mergesort on large inputs.
perm
 a permutation array indexing x
.x
 the array to be sorted.public static <K> void parallelQuickSortIndirect(int[] perm, K[] x, int from, int to)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implement an indirect sort. The elements of perm
(which must be exactly the numbers in the interval [0..perm.length)
)
will be permuted so that x[perm[i]] ≤ x[perm[i + 1]]
.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
perm
 a permutation array indexing x
.x
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.public static <K> void parallelQuickSortIndirect(int[] perm, K[] x)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implement an indirect sort. The elements of perm
(which must be exactly the numbers in the interval [0..perm.length)
)
will be permuted so that x[perm[i]] ≤ x[perm[i + 1]]
.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
perm
 a permutation array indexing x
.x
 the array to be sorted.public static <K> void stabilize(int[] perm, K[] x, int from, int to)
This method can be used to stabilize the permutation generated by an indirect
sorting, assuming that initially the permutation array was in ascending order
(e.g., the identity, as usually happens). This method scans the permutation,
and for each nonsingleton block of elements with the same associated values
in x
, permutes them in ascending order. The resulting permutation
corresponds to a stable sort.
Usually combining an unstable indirect sort and this method is more efficient than using a stable sort, as most stable sort algorithms require a support array.
More precisely, assuming that x[perm[i]] ≤ x[perm[i + 1]]
, after
stabilization we will also have that x[perm[i]] = x[perm[i + 1]]
implies perm[i] ≤ perm[i + 1]
.
perm
 a permutation array indexing x
so that it is sorted.x
 the sorted array to be stabilized.from
 the index of the first element (inclusive) to be stabilized.to
 the index of the last element (exclusive) to be stabilized.public static <K> void stabilize(int[] perm, K[] x)
This method can be used to stabilize the permutation generated by an indirect
sorting, assuming that initially the permutation array was in ascending order
(e.g., the identity, as usually happens). This method scans the permutation,
and for each nonsingleton block of elements with the same associated values
in x
, permutes them in ascending order. The resulting permutation
corresponds to a stable sort.
Usually combining an unstable indirect sort and this method is more efficient than using a stable sort, as most stable sort algorithms require a support array.
More precisely, assuming that x[perm[i]] ≤ x[perm[i + 1]]
, after
stabilization we will also have that x[perm[i]] = x[perm[i + 1]]
implies perm[i] ≤ perm[i + 1]
.
perm
 a permutation array indexing x
so that it is sorted.x
 the sorted array to be stabilized.public static <K> void quickSort(K[] x, K[] y, int from, int to)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implements a lexicographical sorting of the arguments.
Pairs of elements in the same position in the two provided arrays will be
considered a single key, and permuted accordingly. In the end, either
x[i] < x[i + 1]
or x[i]
== x[i + 1]
and y[i] ≤ y[i + 1]
.
x
 the first array to be sorted.y
 the second array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.public static <K> void quickSort(K[] x, K[] y)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implements a lexicographical sorting of the arguments.
Pairs of elements in the same position in the two provided arrays will be
considered a single key, and permuted accordingly. In the end, either
x[i] < x[i + 1]
or x[i]
== x[i + 1]
and y[i] ≤ y[i + 1]
.
x
 the first array to be sorted.y
 the second array to be sorted.public static <K> void parallelQuickSort(K[] x, K[] y, int from, int to)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implements a lexicographical sorting of the arguments.
Pairs of elements in the same position in the two provided arrays will be
considered a single key, and permuted accordingly. In the end, either
x[i] < x[i + 1]
or x[i]
== x[i + 1]
and y[i] ≤ y[i + 1]
.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
x
 the first array to be sorted.y
 the second array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.public static <K> void parallelQuickSort(K[] x, K[] y)
The sorting algorithm is a tuned quicksort adapted from Jon L. Bentley and M. Douglas McIlroy, “Engineering a Sort Function”, Software: Practice and Experience, 23(11), pages 1249−1265, 1993.
This method implements a lexicographical sorting of the arguments.
Pairs of elements in the same position in the two provided arrays will be
considered a single key, and permuted accordingly. In the end, either
x[i] < x[i + 1]
or x[i]
== x[i + 1]
and y[i] ≤ y[i + 1]
.
This implementation uses a ForkJoinPool
executor service with
Runtime.availableProcessors()
parallel threads.
x
 the first array to be sorted.y
 the second array to be sorted.public static <K> void mergeSort(K[] a, int from, int to, K[] supp)
This sort is guaranteed to be stable: equal elements will not be reordered as a result of the sort. Moreover, no support arrays will be allocated.
a
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.supp
 a support array containing at least to
elements, and whose
entries are identical to those of a
in the specified
range.public static <K> void mergeSort(K[] a, int from, int to)
This sort is guaranteed to be stable: equal elements will not be
reordered as a result of the sort. An array as large as a
will be
allocated by this method.
a
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.public static <K> void mergeSort(K[] a)
This sort is guaranteed to be stable: equal elements will not be
reordered as a result of the sort. An array as large as a
will be
allocated by this method.
a
 the array to be sorted.public static <K> void mergeSort(K[] a, int from, int to, java.util.Comparator<K> comp, K[] supp)
This sort is guaranteed to be stable: equal elements will not be reordered as a result of the sort. Moreover, no support arrays will be allocated.
a
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.comp
 the comparator to determine the sorting order.supp
 a support array containing at least to
elements, and whose
entries are identical to those of a
in the specified
range.public static <K> void mergeSort(K[] a, int from, int to, java.util.Comparator<K> comp)
This sort is guaranteed to be stable: equal elements will not be
reordered as a result of the sort. An array as large as a
will be
allocated by this method.
a
 the array to be sorted.from
 the index of the first element (inclusive) to be sorted.to
 the index of the last element (exclusive) to be sorted.comp
 the comparator to determine the sorting order.public static <K> void mergeSort(K[] a, java.util.Comparator<K> comp)
This sort is guaranteed to be stable: equal elements will not be
reordered as a result of the sort. An array as large as a
will be
allocated by this method.
a
 the array to be sorted.comp
 the comparator to determine the sorting order.public static <K> int binarySearch(K[] a, int from, int to, K key)
a
 the array to be searched.from
 the index of the first element (inclusive) to be searched.to
 the index of the last element (exclusive) to be searched.key
 the value to be searched for.((<i>insertion point</i>)  1)
. The insertion point
is defined as the the point at which the value would be inserted into
the array: the index of the first element greater than the key, or
the length of the array, if all elements in the array are less than
the specified key. Note that this guarantees that the return value
will be ≥ 0 if and only if the key is found.Arrays
public static <K> int binarySearch(K[] a, K key)
a
 the array to be searched.key
 the value to be searched for.((<i>insertion point</i>)  1)
. The insertion point
is defined as the the point at which the value would be inserted into
the array: the index of the first element greater than the key, or
the length of the array, if all elements in the array are less than
the specified key. Note that this guarantees that the return value
will be ≥ 0 if and only if the key is found.Arrays
public static <K> int binarySearch(K[] a, int from, int to, K key, java.util.Comparator<K> c)
a
 the array to be searched.from
 the index of the first element (inclusive) to be searched.to
 the index of the last element (exclusive) to be searched.key
 the value to be searched for.c
 a comparator.((<i>insertion point</i>)  1)
. The insertion point
is defined as the the point at which the value would be inserted into
the array: the index of the first element greater than the key, or
the length of the array, if all elements in the array are less than
the specified key. Note that this guarantees that the return value
will be ≥ 0 if and only if the key is found.Arrays
public static <K> int binarySearch(K[] a, K key, java.util.Comparator<K> c)
a
 the array to be searched.key
 the value to be searched for.c
 a comparator.((<i>insertion point</i>)  1)
. The insertion point
is defined as the the point at which the value would be inserted into
the array: the index of the first element greater than the key, or
the length of the array, if all elements in the array are less than
the specified key. Note that this guarantees that the return value
will be ≥ 0 if and only if the key is found.Arrays
public static <K> K[] shuffle(K[] a, int from, int to, java.util.Random random)
a
 the array to be shuffled.from
 the index of the first element (inclusive) to be shuffled.to
 the index of the last element (exclusive) to be shuffled.random
 a pseudorandom number generator.a
.public static <K> K[] shuffle(K[] a, java.util.Random random)
a
 the array to be shuffled.random
 a pseudorandom number generator.a
.public static <K> K[] reverse(K[] a)
a
 the array to be reversed.a
.public static <K> K[] reverse(K[] a, int from, int to)
a
 the array to be reversed.from
 the index of the first element (inclusive) to be reversed.to
 the index of the last element (exclusive) to be reversed.a
.