Commit Graph

13 Commits

Author SHA1 Message Date
Gael Guennebaud
06752b2b77 * added a Tridiagonalization class for selfadjoint matrices
* added MatrixBase::real()
* added the ability to extract a selfadjoint matrix from the
  lower or upper part of a matrix, e.g.:
    m.extract<Upper|SelfAdjoint>()
  will ignore the strict lower part and return a selfadjoint.
  This is compatible with ZeroDiag and UnitDiag.
2008-06-01 17:20:18 +00:00
Gael Guennebaud
fcf4457b78 added optimized matrix times diagonal matrix product via Diagonal flag shortcut. 2008-05-31 21:35:11 +00:00
Gael Guennebaud
e2ac5d244e Added ArrayBit to get the ability to manipulate a Matrix like a simple scalar.
In particular this flag changes the behavior of operator* to a coeff wise product.
2008-05-29 22:33:07 +00:00
Benoit Jacob
f54760c889 hehe, the complicated nesting scheme in Flagged in the previous commit
was a sign that we were doing something wrong. In fact, having
NestByValue as a special case of Flagged was wrong, and the previous
commit, while not buggy, was inefficient because then when the resulting
NestByValue xpr was nested -- hence copied -- the original xpr which was
already nested by value was copied again; hence instead of 1 copy we got
3 copies.
The solution was to ressuscitate the old Temporary.h (renamed
NestByValue.h) as it was the right approach.
2008-05-28 05:14:16 +00:00
Benoit Jacob
aebecae510 * find the proper way of nesting the expression in Flagged:
finally that's more subtle than just using ei_nested, because when
  flagging with NestByValueBit we want to store the expression by value
  already, regardless of whether it already had the NestByValueBit set.
* rename temporary() ----> nestByValue()
* move the old Product.h to disabled/, replace by what was ProductWIP.h
* tweak -O and -g flags for tests and examples
* reorder the tests -- basic things go first
* simplifications, e.g. in many methoeds return derived() and count on
  implicit casting to the actual return type.
* strip some not-really-useful stuff from the heaviest tests
2008-05-28 04:38:16 +00:00
Benoit Jacob
953efdbfe7 - introduce Part and Extract classes, splitting and extending the former
Triangular class
- full meta-unrolling in Part
- move inverseProduct() to MatrixBase
- compilation fix in ProductWIP: introduce a meta-selector to only do
  direct access on types that support it.
- phase out the old Product, remove the WIP_DIRTY stuff.
- misc renaming and fixes
2008-05-27 05:47:30 +00:00
Benoit Jacob
5da60897ab Introduce generic Flagged xpr, remove already Lazy.h and Temporary.h
Rename DefaultLostFlagMask --> HerediraryBits
2008-05-14 08:20:15 +00:00
Gael Guennebaud
45cda6704a * Draft of a eigenvalues solver
(does not support complex and does not re-use the QR decomposition)

* Rewrite the cache friendly product to have only one instance per scalar type !
  This significantly speeds up compilation time and reduces executable size.
  The current drawback is that some trivial expressions might be
  evaluated like conjugate or negate.

* Renamed "cache optimal" to "cache friendly"

* Added the ability to directly access matrix data of some expressions via:
  - the stride()/_stride() methods
  - DirectAccessBit flag (replace ReferencableBit)
2008-05-12 10:23:09 +00:00
Gael Guennebaud
bf5326c3ca * Added ReferencableBit flag to known if coeffRef is available.
(needed by the new product implementation)
* Make the packet* members template to support aligned and unaligned
  access. This makes Block vectorizable. Combined with ReferencableBit,
  we should be able to determine at runtime (in some specific cases) if
  an aligned vectorization is possible or not.
* Improved the new product implementation to robustly handle all cases,
  it now passes all the tests.
* Renamed the packet version ei_predux to ei_preduxp to avoid name collision.
2008-05-08 08:12:52 +00:00
Gael Guennebaud
46fa4c713f * Started support for unaligned vectorization.
* Introduce a new highly optimized matrix-matrix product for large
  matrices. The code is still highly experimental and it is activated
  only if you define EIGEN_WIP_PRODUCT at compile time.
  Currently the third dimension of the product must be a factor of
  the packet size (x4 for floats) and the right handed side matrix
  must be column major.
  Moreover, currently c = a*b; actually computes c += a*b !!
  Therefore, the code is provided for experimentation purpose only !
  These limitations will be fixed soon or later to become the default
  product implementation.
2008-05-05 10:23:29 +00:00
Gael Guennebaud
4c92150676 Added Triangular expression to extract upper or lower (strictly or not)
part of a matrix. Triangular also provide an optimised method for forward
and backward substitution. Further optimizations regarding assignments and
products might come later.

Updated determinant() to take into account triangular matrices.

Started the QR module with a QR decompostion algorithm.
Help needed to build a QR algorithm (eigen solver) based on it.
2008-04-26 18:26:05 +00:00
Gael Guennebaud
9385793f71 Fix a couple of issue with the vectorization. In particular, default ei_p* functions
are provided to handle not suported types seemlessly.

Added a generic null-ary expression with null-ary functors. They replace
Zero, Ones, Identity and Random.
2008-04-24 18:35:39 +00:00
Benoit Jacob
ca448d2537 split those files in util/
some more renaming
2008-04-10 09:41:13 +00:00