Cross Reference: /external/eigen/unsupported/Eigen/src/Skyline/SkylineMatrix.h

Lines Matching defs:m_data
70     SkylineStorage<Scalar> m_data;
91         return m_data.upperSize();
95         return m_data.lowerSize();
107         return &m_data.diag(0);
111         return &m_data.diag(0);
115         return &m_data.upper(0);
119         return &m_data.upper(0);
123         return &m_data.lower(0);
127         return &m_data.lower(0);
131         return &m_data.upperProfile(0);
135         return &m_data.upperProfile(0);
139         return &m_data.lowerProfile(0);
143         return &m_data.lowerProfile(0);
154             return this->m_data.diag(outer);
159                 const Index minOuterIndex = inner - m_data.upperProfile(inner);
161                     return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
167                 const Index minInnerIndex = outer - m_data.lowerProfile(outer);
169                     return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
173             return m_data.upper(m_colStartIndex[inner] + outer - inner);
177                 const Index maxOuterIndex = inner + m_data.upperProfile(inner);
179                     return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
185                 const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
188                     return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
203             return this->m_data.diag(outer);
208                 const Index minOuterIndex = inner - m_data.upperProfile(inner);
210                 return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
214                 const Index minInnerIndex = outer - m_data.lowerProfile(outer);
216                 return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
221                 const Index maxOuterIndex = inner + m_data.upperProfile(inner);
223                 return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
227                 const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
229                 return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
237         return this->m_data.diag(idx);
249             const Index minInnerIndex = outer - m_data.lowerProfile(outer);
251                 return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
256             const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
258                 return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
273             const Index minOuterIndex = inner - m_data.upperProfile(inner);
275                 return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
279             const Index maxOuterIndex = inner + m_data.upperProfile(inner);
281                 return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
290         return this->m_data.diag(idx);
302             const Index minInnerIndex = outer - m_data.lowerProfile(outer);
304             return this->m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
306             const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
308             return this->m_data.lower(m_rowStartIndex[outer] + (inner - outer));
321             const Index minInnerIndex = outer - m_data.lowerProfile(outer);
324             const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
338             const Index minOuterIndex = inner - m_data.upperProfile(inner);
340             return this->m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
342             const Index maxOuterIndex = inner + m_data.upperProfile(inner);
344             return this->m_data.upper(m_colStartIndex[inner] + (outer - inner));
357             const Index minOuterIndex = inner - m_data.upperProfile(inner);
360             const Index maxOuterIndex = inner + m_data.upperProfile(inner);
377         m_data.clear();
384         return m_data.diagSize() + m_data.upperSize() + m_data.lowerSize();
389         m_data.reserve(reserveSize, reserveUpperSize, reserveLowerSize);
408             return m_data.diag(col);
414                 minOuterIndex = inner - m_data.upperProfile(inner);
418                     const Index previousProfile = m_data.upperProfile(inner);
420                     m_data.upperProfile(inner) = inner - outer;
423                     const Index bandIncrement = m_data.upperProfile(inner) - previousProfile;
430                         m_data.upper(innerIdx + bandIncrement) = m_data.upper(innerIdx);
440                     return m_data.upper(m_colStartIndex[inner]);
442                     return m_data.upper(m_colStartIndex[inner] + outer - (inner - m_data.upperProfile(inner)));
448                 const Index minInnerIndex = outer - m_data.lowerProfile(outer);
451                     const Index previousProfile = m_data.lowerProfile(outer);
452                     m_data.lowerProfile(outer) = outer - inner;
454                     const Index bandIncrement = m_data.lowerProfile(outer) - previousProfile;
461                         m_data.lower(innerIdx + bandIncrement) = m_data.lower(innerIdx);
470                     return m_data.lower(m_rowStartIndex[outer]);
472                     return m_data.lower(m_rowStartIndex[outer] + inner - (outer - m_data.lowerProfile(outer)));
478                 const Index maxOuterIndex = inner + m_data.upperProfile(inner);
481                     const Index previousProfile = m_data.upperProfile(inner);
482                     m_data.upperProfile(inner) = outer - inner;
484                     const Index bandIncrement = m_data.upperProfile(inner) - previousProfile;
490                         m_data.upper(innerIdx + bandIncrement) = m_data.upper(innerIdx);
497                     return m_data.upper(m_rowStartIndex[inner] + m_data.upperProfile(inner));
499                     return m_data.upper(m_rowStartIndex[inner] + (outer - inner));
505                 const Index maxInnerIndex = outer + m_data.lowerProfile(outer);
508                     const Index previousProfile = m_data.lowerProfile(outer);
509                     m_data.lowerProfile(outer) = inner - outer;
511                     const Index bandIncrement = m_data.lowerProfile(outer) - previousProfile;
517                         m_data.lower(innerIdx + bandIncrement) = m_data.lower(innerIdx);
524                     return m_data.lower(m_colStartIndex[outer] + m_data.lowerProfile(outer));
526                     return m_data.lower(m_colStartIndex[outer] + (inner - outer));
537                 m_data.resize(cols(), cols(), rows(), m_colStartIndex[cols()] + 1, m_rowStartIndex[rows()] + 1);
539                 m_data.resize(rows(), cols(), rows(), m_colStartIndex[cols()] + 1, m_rowStartIndex[rows()] + 1);
549             //                memcpy(newArray + dataIdx, m_data.m_lower + m_rowStartIndex[row], nbLowerElts * sizeof (Scalar));
554             //                memcpy(newArray + dataIdx, m_data.m_upper + m_colStartIndex[row], nbUpperElts * sizeof (Scalar));
560             //            //todo : don't access m_data profile directly : add an accessor from SkylineMatrix
561             //            m_rowStartIndex[rows()] = m_rowStartIndex[rows()-1] + m_data.lowerProfile(rows()-1);
562             //            m_colStartIndex[cols()] = m_colStartIndex[cols()-1] + m_data.upperProfile(cols()-1);
564             //            delete[] m_data.m_lower;
565             //            delete[] m_data.m_upper;
567             //            m_data.m_lower = newArray;
568             //            m_data.m_upper = newArray;
571                 m_data.resize(cols(), rows(), cols(), m_rowStartIndex[cols()] + 1, m_colStartIndex[cols()] + 1);
573                 m_data.resize(rows(), rows(), cols(), m_rowStartIndex[rows()] + 1, m_colStartIndex[rows()] + 1);
579         m_data.squeeze();
598             m_data.resize(diagSize, IsRowMajor ? cols : rows, IsRowMajor ? rows : cols,
605             m_data.resize(diagSize, IsRowMajor ? cols : rows, IsRowMajor ? rows : cols,
618         m_data.reset();
619         m_data.clear();
627         m_data.resize(size);
657         m_data.swap(other.m_data);
668             m_data = other.m_data;
689         for (Index i = 0; i < m.m_data.upperSize(); i++)
690             std::cout << m.m_data.upper(i) << "\t";
693         for (Index i = 0; i < m.m_data.upperProfileSize(); i++)
694             std::cout << m.m_data.upperProfile(i) << "\t";
697         for (Index i = 0; i < m.m_data.upperProfileSize(); i++)
703         for (Index i = 0; i < m.m_data.lowerSize(); i++)
704             std::cout << m.m_data.lower(i) << "\t";
707         for (Index i = 0; i < m.m_data.lowerProfileSize(); i++)
708             std::cout << m.m_data.lowerProfile(i) << "\t";
711         for (Index i = 0; i < m.m_data.lowerProfileSize(); i++)
756         return m_matrix.m_data.upper(m_id);
760         return const_cast<Scalar*> (&(m_matrix.m_data.upper(m_id)));
764         return const_cast<Scalar&> (m_matrix.m_data.upper(m_id));
768         return IsRowMajor ? m_outer - m_matrix.m_data.upperProfile(m_outer) + (m_id - m_start) :
781         return m_matrix.m_data.upperProfile(m_outer);
819         return m_matrix.m_data.lower(m_id);
823         return const_cast<Scalar*> (&(m_matrix.m_data.lower(m_id)));
827         return const_cast<Scalar&> (m_matrix.m_data.lower(m_id));
831         return IsRowMajor ? m_outer - m_matrix.m_data.lowerProfile(m_outer) + (m_id - m_start) :
845         return m_matrix.m_data.lowerProfile(m_outer);