// -*-C++-*- // Copyright (C) 2004 // Christian Stimming // This library is free software; you can redistribute it and/or // modify it under the terms of the GNU Lesser General Public License as // published by the Free Software Foundation; either version 2, or (at // your option) any later version. // This library is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU Lesser General Public License for more details. // You should have received a copy of the GNU Lesser General Public License along // with this library; see the file COPYING. If not, write to the Free // Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, // USA. // LAPACK++ (V. 1.1) // (C) 1992-1996 All Rights Reserved. /** @file * @brief Real-valued vector */ #ifndef _LA_VECTOR_DOUBLE_H_ #define _LA_VECTOR_DOUBLE_H_ #include "lafnames.h" #include LA_GEN_MAT_DOUBLE_H /** \brief Real-valued Vector class * * A vector is simply an nx1 or 1xn, matrix, only that it can be * constructed and accessed by a single dimension * * Multiplication of this vector should be done by the functions in * blas1pp.h and blas2pp.h, e.g. Blas_Dot_Prod() or * Blas_Add_Mult(). (There are also some operators in blaspp.h, but we * advice against them because they will always allocate a new matrix * for the result even though you usually already have a matrix at * hand for writing the result into.) Transpositions of vectors * usually do not have to be calculated explicitly, but you can * directly use the different multiplication functions that will use * this vector as a transposed one, e.g. Blas_R1_Update(). * */ class DLLIMPORT LaVectorDouble: public LaGenMatDouble { public: /** @name Declaration */ //@{ /** Constructs a column vector of length 0 (null). */ LaVectorDouble(); /** Constructs a column vector of length n */ LaVectorDouble(int n); /** Constructs a vector of size \f$m\times n\f$. One of the two * dimensions must be one! */ LaVectorDouble(int m, int n); /** Constructs a column vector of length n by copying the values * from a one-dimensional C array of length n. */ LaVectorDouble(double* v, int n); /** Constructs an \f$m\times n\f$ vector by copying the values * from a one-dimensional C array of length mn. One of the two * dimensions must be one! */ //LaVectorDouble(double* v, int m, int n); /** Create a new vector from an existing matrix by copying. The * given matrix s must be a vector, i.e. one of its dimensions * must be one! */ LaVectorDouble(const LaGenMatDouble& s); /** Resize to a column vector of length n. * * This method always resizes to column vector, similar to * the one-argument constructor. If you want a row vector, * use the two-argument resize(int,int) method. * * New in lapackpp-2.4.14. */ void resize(int n); /** Resize vector to size \f$m\times n\f$. One of the two * dimensions must be one! * * New in lapackpp-2.4.14. */ void resize(int m, int n); //@} /** @name Information */ //@{ /** Returns the length n of this vector. */ inline int size() const; /** Returns the distance between memory locations (in terms of * number of elements) between consecutive elements along * dimension d. For example, if \c inc(d) returns 1, then * elements along the dth dimension are contiguous in * memory. */ inline int inc() const; /** If the memory space used by this matrix is viewed as a * linear array, \c start(d) returns the starting offset of * the first element in dimension \c d. (See \ref LaIndex * class.) */ inline int start() const; /** If the memory space used by this matrix is viewed as a * linear array, \c end(d) returns the starting offset of the * last element in dimension \c d. (See \ref LaIndex * class.) */ inline int end() const; /** Returns the index specifying this submatrix view in * dimension \c d. (See \ref LaIndex class.) This will only * differ from a unit-stride index is the current matrix is * actually a submatrix view of some larger matrix. */ inline LaIndex index() const; //@} /** @name Access functions */ //@{ /** Returns the \f$i\f$th element of this vector, with the * index i starting at zero (zero-based offset). This means * you have * * \f[ v = \left(\begin{array}{c} a_1 \\ a_2 \\ \vdots \\ a_N * \end{array}\right) * \f] * * but for accessing the element \f$a_1\f$ you have to * write @c v(0). * * Optional runtime bounds checking (0<=i<=n) is set * by the compile time macro LA_BOUNDS_CHECK. */ inline double& operator()(int i); /** Returns the \f$i\f$th element of this vector, with the * index i starting at zero (zero-based offset). This means * you have * * \f[ v = \left(\begin{array}{c} a_1 \\ a_2 \\ \vdots \\ a_N * \end{array}\right) * \f] * * but for accessing the element \f$a_1\f$ you have to * write @c v(0). * * Optional runtime bounds checking (0<=i<=n) is set * by the compile time macro LA_BOUNDS_CHECK. */ inline const double& operator()(int i) const ; /** Return a submatrix view specified by the index I. (See * \ref LaIndex class.) These indices specify start, * increment, and ending offsets, similar to triplet notation * of Matlab or Fortran 90. For example, if B is a 10 x 10 * matrix, I is \c (0:2:2) and J is \c (3:1:4), then \c B(I,J) * denotes the 2 x 2 matrix * * \f[ \left(\begin{array}{cc} b_{0,3} & b_{2,3} \\ * b_{0,4} & b_{4,4} * \end{array}\right) \f] */ inline LaVectorDouble operator()(const LaIndex& i); /** Return a submatrix view specified by the index I. (See * \ref LaIndex class.) These indices specify start, * increment, and ending offsets, similar to triplet notation * of Matlab or Fortran 90. For example, if B is a 10 x 10 * matrix, I is \c (0:2:2) and J is \c (3:1:4), then \c B(I,J) * denotes the 2 x 2 matrix * * \f[ \left(\begin{array}{cc} b_{0,3} & b_{2,3} \\ * b_{0,4} & b_{4,4} * \end{array}\right) \f] */ inline LaVectorDouble operator()(const LaIndex& i) const; //@} /** @name Assignments */ //@{ /** Set elements of left-hand size to the scalar value s. No * new vector is created, so that if there are other vectors * that reference this memory space, they will also be * affected. */ LaVectorDouble& operator=(double s); /** Release left-hand side (reclaiming memory space if * possible) and copy elements of elements of \c s. Unline \c * inject(), it does not require conformity, and previous * references of left-hand side are unaffected. * * This is an alias for copy(). */ LaVectorDouble& operator=(const LaGenMatDouble&s); /** Copy elements of s into the memory space referenced by the * left-hand side, without first releasing it. The effect is * that if other vectors share memory with left-hand side, * they too will be affected. Note that the size of s must be * the same as that of the left-hand side vector. * * @note If you rather wanted to create a new copy of \c s, * you should use \c copy() instead. */ LaVectorDouble& inject(const LaGenMatDouble &s); /** Release left-hand side (reclaiming memory space if * possible) and copy elements of elements of \c s. Unline \c * inject(), it does not require conformity, and previous * references of left-hand side are unaffected. */ LaVectorDouble& copy(const LaGenMatDouble &s); /** Let this vector reference the given vector s, so that the * given vector memory s is now referenced by multiple objects * (by the given object s and now also by this object). Handle * this with care! * * This function releases any previously referenced memory of * this object. */ LaVectorDouble& ref(const LaGenMatDouble &); //@} }; // NOTE: we default to column vectors, since matrices are column // oriented. inline LaVectorDouble::LaVectorDouble() : LaGenMatDouble(0,1) {} inline LaVectorDouble::LaVectorDouble(int i) : LaGenMatDouble(i,1) {} // NOTE: one shouldn't be using this method to initalize, but // it is here so that the constructor can be overloaded with // a runtime test. // inline LaVectorDouble::LaVectorDouble(int m, int n) : LaGenMatDouble(m,n) { assert(n==1 || m==1); } inline LaVectorDouble::LaVectorDouble(double *d, int m) : LaGenMatDouble(d,m,1) {} #if 0 inline LaVectorDouble::LaVectorDouble(double *d, int m, int n) : LaGenMatDouble(d,m,n) {} #endif inline LaVectorDouble::LaVectorDouble(const LaGenMatDouble& G) : LaGenMatDouble(G) { assert(G.size(0)==1 || G.size(1)==1); } inline void LaVectorDouble::resize(int i) { // Always resizes to column vector, similar to the one-argument // constructor. If you want a row vector, use the two-argument // resize(). LaGenMatDouble::resize(i, 1); // column vector } inline void LaVectorDouble::resize(int m, int n) { assert(n==1 || m==1); LaGenMatDouble::resize(m, n); } //note that vectors can be either stored columnwise, or row-wise // this will handle the 0x0 case as well. inline int LaVectorDouble::size() const { return LaGenMatDouble::size(0)*LaGenMatDouble::size(1); } inline double& LaVectorDouble::operator()(int i) { if (LaGenMatDouble::size(0)==1 ) return LaGenMatDouble::operator()(0,i); else return LaGenMatDouble::operator()(i,0); } inline const double& LaVectorDouble::operator()(int i) const { if (LaGenMatDouble::size(0)==1 ) return LaGenMatDouble::operator()(0,i); else return LaGenMatDouble::operator()(i,0); } inline LaVectorDouble LaVectorDouble::operator()(const LaIndex& I) { if (LaGenMatDouble::size(0)==1) return LaGenMatDouble::operator()(LaIndex(0,0),I).shallow_assign(); else return LaGenMatDouble::operator()(I,LaIndex(0,0)).shallow_assign(); } inline LaVectorDouble LaVectorDouble::operator()(const LaIndex& I) const { if (LaGenMatDouble::size(0)==1) return LaGenMatDouble::operator()(LaIndex(0,0),I).shallow_assign(); else return LaGenMatDouble::operator()(I,LaIndex(0,0)).shallow_assign(); } inline LaVectorDouble& LaVectorDouble::copy(const LaGenMatDouble &A) { assert(A.size(0) == 1 || A.size(1) == 1); //make sure rhs is a // a vector. LaGenMatDouble::copy(A); return *this; } inline LaVectorDouble& LaVectorDouble::operator=(const LaGenMatDouble &A) { return copy(A); } inline LaVectorDouble& LaVectorDouble::ref(const LaGenMatDouble &A) { assert(A.size(0) == 1 || A.size(1) == 1); LaGenMatDouble::ref(A); return *this; } inline LaVectorDouble& LaVectorDouble::operator=(double d) { LaGenMatDouble::operator=(d); return *this; } inline LaVectorDouble& LaVectorDouble::inject(const LaGenMatDouble &A) { assert(A.size(0) == 1 || A.size(1) == 1); LaGenMatDouble::inject(A); return *this; } inline int LaVectorDouble::inc() const { if (LaGenMatDouble::size(1)==1 ) return LaGenMatDouble::inc(0); else return LaGenMatDouble::inc(1)*LaGenMatDouble::gdim(0); // NOTE: This was changed on 2005-03-04 because without the dim[0] // this gives wrong results on non-unit-stride submatrix views. } inline LaIndex LaVectorDouble::index() const { if (LaGenMatDouble::size(1)==1 ) return LaGenMatDouble::index(0); else return LaGenMatDouble::index(1); } inline int LaVectorDouble::start() const { if (LaGenMatDouble::size(1)==1 ) return LaGenMatDouble::start(0); else return LaGenMatDouble::start(1); } inline int LaVectorDouble::end() const { if (LaGenMatDouble::size(1)==1 ) return LaGenMatDouble::end(0); else return LaGenMatDouble::end(1); } #endif // _LA_VECTOR_DOUBLE_H_