Vectors and Matrices
DAPPLE provides two new classes of data: Vector and
Matrix. You can define one- and two-dimensional data
sets, and manipulate them with many of the usual C++ operators, in
parallel. In addition, you can compute some functions of the entire
vector or matrix, such as summing all the elements. Finally, you can
move elements around, perhaps to sort them.
Vectors.
A vector is simply a one-dimensional collection of elements. Each
element is a scalar value, and can be an integer, character, boolean,
or single- or double-precision floating-point number. For example, a
vector of N integers called "data" can be defined with
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intVector data(N);
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The elements in this vector are not initialized. Later, it should be
initialized in an assignment statement. To initialize it when it is
defined, so that all of the elements have the same value, you can
include a second argument:
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intVector data(N, 3);
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Here, all N elements of vector "data" have the value 3.
There are other vector types, used the same way:
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intVector A(N);
charVector B(N);
floatVector C(N);
doubleVector D(N);
booleanVector E(N);
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Matrices.
Matrices are used much like vectors. For example, the following
all define matrices with N rows and M columns:
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intMatrix A(N,M, 3);
charMatrix B(N,M, 'x');
floatMatrix C(N,M);
doubleMatrix D(N,M);
booleanMatrix E(N,M, false);
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Integer matrix A is initialized so that every element's value is 3.
All elements in character matrix B are initialized to the character
'x'. Float matrix C and double matrix D are uninitialized. Finally,
all elements in boolean matrix E are initialized to false.