When you pass MATLAB^{®} data as arguments to Java^{®} methods, MATLAB converts the data into types that best represent the data to the Java language. For information about type mapping when passing data to arguments of
type java.lang
, see Pass Java Objects.
Each row in the following table shows a MATLAB type followed by the possible Java argument matches, from left to right in order of closeness of the match. The MATLAB types (except cell arrays) can be scalar (1by1) arrays or matrices. The Java types can be scalar values or arrays.
MATLAB Argument  Java Parameter Type (Scalar or Array) Closest Type <———————————————————————> Least Close Type  



















 






 





 




 



 

 

 
Java object of type  Java
 any superclass of  
cell array of object 
 
MATLAB object  Unsupported 
The term dimension means the number of subscripts required to address the elements of an array. For example, a 5by1 array has one dimension, because you index individual elements using one array subscript.
In converting MATLAB to Java arrays, MATLAB handles dimension in a special manner. For a MATLAB array, dimension is the number of nonsingleton dimensions in the array. For
example, a 10by1 array has dimension 1. Whereas, a 1by1 array has dimension 0 because
you cannot index into a scalar value. In Java code, the number of nested arrays determines the dimension. For example,
double[][]
has dimension 2, and double
has dimension
0.
If the number of dimensions of the Java array matches the number of dimensions in MATLAB array n
, then the converted Java array has n
dimensions. If the Java array has fewer than n
dimensions, then the conversion
drops singleton dimensions, starting with the first one. The conversion stops when the
number of remaining dimensions matches the number of dimensions in the Java array. If the Java array has more than n dimensions, then MATLAB adds trailing singleton dimensions.
When passing an integer type to a Java method that takes a Java integer parameter, the MATLAB conversion is the same as the Java conversion between integer types. In particular, if the integer is
outofrange, it does not fit into the number of bits of the parameter type. For
outofrange integers, MATLAB discards all lowest n
bits. The value n
is the number of bits in the parameter type. This conversion is unlike the conversion
between MATLAB integer types, where outofrange integers are converted to the maximum or
minimum value represented by the destination type.
If the argument is a floatingpoint number, then MATLAB does not convert it to an integer in the same manner as Java. MATLAB first converts a floatingpoint number to a 64bit signed integer with the
fractional part truncated. Then the number is processed as if it were an
int64
argument.
A floatingpoint number is too large to be represented in a 64bit integer when it is (outside the range from 2^{63}–2^{63}. In which case, MATLAB uses the following conversions:
int
, short
, and byte
parameter values to 0
.
long
parameter values to
java.lang.Long.MIN_VALUE
.
Inf
and Inf
values to
1
.
NaN
values to 0
.
To call a Java method with an argument defined as java.lang.String
, pass a
MATLAB string or character vector. MATLAB converts the argument to a Java
String
object. You also can pass a String
object
returned by a Java method.
If the method argument is an array of type String
, then pass a string
array or a cell array of character vectors. MATLAB converts the input to a Java array of String
objects, with dimensions adjusted as
described in How Array Dimensions Affect Conversion.
To call a method that has an argument belonging to a Java class (other than java.lang.Object
), you must pass a
Java object that is an instance of that class. MATLAB does not support Java autoboxing, the automatic conversion of MATLAB types to Java
Object
types. For example, MATLAB does not convert double
to
java.lang.Double
for a parameter of type
Double
.
java.lang.Object
A special case exists when the method takes an argument of the
java.lang.Object
class. Since this class is the root of the
Java class hierarchy, you can pass objects of any class in the argument.
MATLAB automatically converts the argument to the closest Java
Object
type, which might include Javastyle autoboxing. This table shows the conversion.
MATLAB Argument  Java






















Java object  Argument unchanged 
cell array 

MATLAB object  Unsupported 
To call a method with an argument defined as java.lang.Object
or an
array of java.lang.Object
, pass either a Java array or a MATLAB cell array. MATLAB automatically converts the cell array elements to their Java types as described in the Pass java.lang.Object table. A Java array is an array returned from a Java constructor. You also can construct a Java array in MATLAB using the javaArray
function.
To create a cell array of Java objects, use the MATLAB syntax {a1,a2,...}
. You index into a cell array of
Java objects in the usual way, with the syntax a{m,n,...}
. For
example, create cell array A
:
a1 = java.lang.Double(100); a2 = java.lang.Float(200); A = {a1,a2}
A = 1×2 cell array [1×1 java.lang.Double] [1×1 java.lang.Float]
MATLAB converts an empty matrix as follows.
If the argument is an empty character vector and the parameter is declared as
String
, then MATLAB passes in an empty (not null
) Java
String
object.
For all other cases, MATLAB converts an empty array to a Java
null
.
Empty (0
length) Java arrays remain unchanged.
MATLAB converts <missing>
values in strings to
null
.
When calling an overloaded method on a Java object, MATLAB compares the arguments you pass to the arguments defined for the methods. In this context, the term method includes constructors. MATLAB determines the method to call and converts the arguments to Java types according to the Java conversion rules. For more information, see Pass Array of Objects.
When you call a Java method, MATLAB ensures that:
The object or class (for a static method) has a method by that name.
The invocation passes the same number of arguments of at least one method with that name.
Each passed argument is converted to the Java type defined for the method.
If all these conditions are satisfied, then MATLAB calls the method.
In a call to an overloaded method, if there is more than one candidate, MATLAB selects the one with arguments that best fit the calling arguments. First,
MATLAB rejects methods that have argument types incompatible with the passed
arguments. For example, if the method has a double
argument, a
char
argument is incompatible.
MATLAB then selects the method with the highest fitness value, which is the sum of the fitness values of all its arguments. The fitness value for each argument is the fitness of the base type minus the difference between the MATLAB array dimension and the Java array dimension. For information about array dimensionality, see How Array Dimensions Affect Conversion. If two methods have the same fitness, then the first one defined in the Java class is chosen.