Dynare++ tensor library: further notation fixes in documentation

Also fix extensions of source files.
parent a612c59f
......@@ -108,7 +108,7 @@ tensor with nicer symmetry, here folded $\left[B_{y^3u^4}\right]$.
Class representing unfolded full symmetry, row-oriented tensor which
contains a few columns of huge product
$\prod_{m=1}^l\left[g_{c_m}\right]^{\gamma_m}_{c_m(\alpha)}$. This is
$\prod_{m=1}^l\left[g_{s^{\vert c_m\vert}}\right]^{\gamma_m}_{c_m(\alpha)}$. This is
needed during the Faa Di Bruno for folded matrices.
Class representing a product of columns of derivatives
......@@ -116,7 +116,9 @@ $\left[z_{y^ku^l}\right]$, where $z=[y^T,v^T,w^T]^T$. Since the first
part of $z$ is $y$, the derivatives contain many zeros, which are not
stored, hence the tensor's irregularity. The tensor is used when
calculating one step of Faa Di Bruno formula, i.e.
\left(\sum_{c\in M_{l,k}}
\prod_{m=1}^l\left[g_{s^{\vert c_m\vert}}\right]^{\gamma_m}_{c_m(\alpha)}\right)$.
Class representing full symmetry, column-oriented, sparse tensor. It
is able to store elements keyed by the multidimensional index, and
......@@ -207,13 +209,13 @@ preset maximum number parallel threads.
A few words to the library's test suite. The suite resides in
directory {\tt tl/testing}. There is a file {\tt tests.cpp} which
directory {\tt tl/testing}. There is a file {\tt tests.cc} which
contains all tests and {\tt main()} function. Also there are files
{\tt factory.h} and {\tt factory.cpp} implementing random generation
{\tt factory.hh} and {\tt factory.cc} implementing random generation
of various objects. The important property of these random objects is
that they are the same for all object's invocations. This is very
important in testing and debugging. Further, one can find files {\tt
monoms.h} and {\tt monoms.cpp}. See below for their explanation.
monoms.hh} and {\tt monoms.cc}. See below for their explanation.
There are a few types of tests:
......@@ -223,7 +225,7 @@ vice-versa. We test whether their coordinates are as expected.
\item We test the Faa Di Bruno by comparison of the results of
\texttt{FGSContainer::multAndAdd} against the results of \texttt{UGSContainer::multAndAdd}. The two
implementations are pretty different, so this is a good test.
\item We use a code in {\tt monoms.h} and {\tt monoms.cpp} to generate a
\item We use a code in {\tt monoms.hh} and {\tt monoms.cc} to generate a
random vector function $f(x(y,u))$ along with derivatives of
$\left[f_x\right]$, $\left[x_{y^ku^l}\right]$, and
$\left[f_{y^ku^l}\right]$. Then we calculate the resulting derivatives
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