mathnet-numerics

Commit Graph

Author	SHA1	Message	Date
Christoph Ruegg	ca818de454	LA: Modulus between matrix and scalar; pointwise modulus; improved naming	13 years ago
Christoph Ruegg	9d8b3e3342	LA: Devide a matrix by a scalar, or a scalar by a matrix	13 years ago
Christoph Ruegg	dc7c8a9960	LA: Subtract a scalar from a matrix, and a matrix from a scalar	13 years ago
Christoph Ruegg	24f3df3260	LA: Add a scalar to a matrix	13 years ago
Christoph Ruegg	8ac6bb151f	LA: Improving ctor xml doc based on user feedback	14 years ago
Christoph Ruegg	836a07457e	LA: Matrix.Conjugate	14 years ago
Christoph Ruegg	d0b93b247a	LA: Perf, drop some range checks	14 years ago
Christoph Ruegg	211da24362	LA: static CreateRandom for dense matrix and vector (replacing complicated templating approach)	14 years ago
Christoph Ruegg	55d50fb8fd	LA Storage: enforce MatrixStorage	14 years ago
Alexander Karatarakis	2a8ae87765	Seal ConjugateTranspose() for double/single and remove redundant overrides For non-complex matrices, the ConjugateTranspose is the same as the transpose. Therefore, a sealed override for ConjugateTranspose() that simply forwards the call to Transpose() makes sense for double/single matrices. Signed-off-by: Alexander Karatarakis <alex@karatarakis.com>	15 years ago
Alexander Karatarakis	2234560a7a	[Matrix] LeftMultiply with vector is exactly the same as TransposeThisAndMultiplty() with vector Change LeftMultiply to a protected method (from protected abstract) and it now calls TransposeThisAndMultiply(). TransposeThisAndMultiply has unit tests so it was chosen as the "main" method. Overrides of LeftMultiply were removed, because now only TransposeThisAndMultiply() needs to be overriden. Signed-off-by: Alexander Karatarakis <alex@karatarakis.com>	16 years ago
Alexander Karatarakis	4889537d50	[Single/Double.Matrix] Remove redundant calculation of abs in frobenius norm The formulas found in various references do not have abs. Furthermore, when multiplying AA^T or A^TA (for the frobenius norm we only care about the diagonal so it doesn't matter which product is used) the i-ith diagonal element of the final matrix comes from the multiplication of line i with itself. Therefore, all numbers involved will be multiplied with themselves resulting in numbers that are always non-negative. Signed-off-by: Alexander Karatarakis <alex@karatarakis.com>	16 years ago
Marcus Cuda	089544a1f6	added missing Serializable attributes. work item:5683	16 years ago
Marcus Cuda	676dd39c55	stylecop fixes	16 years ago
Alexander Karatarakis	18e6ed5e7b	Implemented DoTransposeThisAndMultiply for matrices & Vectors on Float.	16 years ago
Marcus Cuda	8206966c88	added Alex Karatarakis fix for the TransposeAndMultiply bug, work item: 5673	16 years ago
Marcus Cuda	df3f7fc0b4	added modulus methods and operators for real matrices. work item: 5662	16 years ago
Marcus Cuda	2cf99d8184	commented out CommonParallel.Aggregate modified the affected code	16 years ago
Marcus Cuda	ecee6b3ae2	made parallel code serial code where it modifies a matrix, since we cannot guarantee subclasses are thread safe - in some cases making them thread safe hurts performance	16 years ago
Marcus Cuda	92b806b722	bug: added piyooshm's leftmultiply fix	16 years ago
Marcus Cuda	03fb79967d	clean up: fixed bugs, made matrix arthimetic immutable, added intermediate, type specific abstract Matrix class. Need to finish cleaning up factorization classes and some tests still faile	16 years ago

21 Commits (ec6527a27d65aaacb5ed7e38e2aff497c1adcd21)