Fixed typos in README.md (#94)

Fixed typos

benchmarks/cookies-problem-propagation/README.md

@@ -2,7 +2,7 @@
 
 ## Overview
 
-This benchmark runs a forward uncertainty quantification problem for the [cookies model](https://github.com/UM-Bridge/benchmarks/tree/main/models/fenics-cookies-problem/README.md) using the [Sparse Grids Matlab Kit](https://github.com/lorenzo-tamellini/sparse-grids-matlab-kit) interface to UM-Bridge. See below for full description.
+This benchmark runs a forward uncertainty quantification problem for the [cookies model](https://um-bridge-benchmarks.readthedocs.io/en/docs/models/fenics-cookies-problem.html) using the [Sparse Grids Matlab Kit](https://github.com/lorenzo-tamellini/sparse-grids-matlab-kit) interface to UM-Bridge. See below for full description.
 
 ## Authors
 - [Benjamin Kent]([email protected])
@@ -25,7 +25,7 @@ benchmark | Sets the config options for the forward UQ benchmark (see below)
 Mapping | Dimensions   | Description
 ---     |---           |---
 input   | [8]          | These values modify the conductivity coefficient in the 8 cookies. They are i.i.d. uniform random variables in the range [-0.99, -0.2] (software does not check that inputs are within the bound) 
-output  | \[1\]        | The integral of the solution over the central subdomain (see definition of $$\Psi$$ at [cookies model](https://github.com/UM-Bridge/benchmarks/tree/main/models/fenics-cookies-problem/README.md) for info)
+output  | \[1\]        | The integral of the solution over the central subdomain (see definition of $\Psi$ at [cookies model](https://um-bridge-benchmarks.readthedocs.io/en/docs/models/fenics-cookies-problem.html) for info)
 
 Feature       | Supported
 ---           |---
@@ -46,25 +46,25 @@ None            |
 
 ## Source code
 
-[Benchmark sources available at this folder.](https://github.com/UM-Bridge/benchmarks/tree/main/benchmarks/cookies-problem-propagation)
+[Model sources here..](https://github.com/UM-Bridge/benchmarks/tree/main/benchmarks/cookies-problem-propagation)
 
 ## Description
 
 ![cookies-problem](https://raw.githubusercontent.com/UM-Bridge/benchmarks/main/models/fenics-cookies-problem/cookies_domain.png "geometry of the cookies problem")
 
-The benchmark implements a forward uncertainty quantification problem for the elliptic version of the [cookies model](https://github.com/UM-Bridge/benchmarks/tree/main/models/fenics-cookies-problem/README.md). More specifically, we assume that the uncertain parameters $$y_n$$ appearing in the definition of the diffusion coefficient are uniform i.i.d. random variables on the range $$[-0.99, -0.2]$$ and we aim at computing the expected value of the quantity of interest (i.e., output of the model) $$\Psi$$, which is defined as the integral of the solution over $$F$$.
+The benchmark implements a forward uncertainty quantification problem for the elliptic version of the [cookies model](https://um-bridge-benchmarks.readthedocs.io/en/docs/models/fenics-cookies-problem.html). More specifically, we assume that the uncertain parameters $y_n$ appearing in the definition of the diffusion coefficient are uniform i.i.d. random variables on the range $[-0.99, -0.2]$ and we aim at computing the expected value of the quantity of interest (i.e., output of the model) $\Psi$, which is defined as the integral of the solution over $F$.
 
-The benchmark configuration of the docker uses all config options set to their default values, see againg the [cookies model page](https://github.com/UM-Bridge/benchmarks/tree/main/models/fenics-cookies-problem/README.md). The structure of this benchmark thus is identical to the one discussed in [[Bäck et al.,2011]](https://doi.org/10.1007/978-3-642-15337-2_3); however, raw numbers are different since in [[Bäck et al.,2011]](https://doi.org/10.1007/978-3-642-15337-2_3) a different mesh was used.
+The benchmark configuration of the docker uses all config options set to their default values, see againg the [cookies model page](https://um-bridge-benchmarks.readthedocs.io/en/docs/models/fenics-cookies-problem.html). The structure of this benchmark thus is identical to the one discussed in [[Bäck et al.,2011]](https://doi.org/10.1007/978-3-642-15337-2_3); however, raw numbers are different since in [[Bäck et al.,2011]](https://doi.org/10.1007/978-3-642-15337-2_3) a different mesh was used.
 
-As a reference value, we provide the approximation of the expected value computed with a standard Smolyak sparse grid, based on Clenshaw--Curtis points, for levels $$w=0,1,\ldots,5$$, see e.g. [[Piazzola et al.,2024]](https://doi.org/10.1145/3630023). 
+As a reference value, we provide the approximation of the expected value computed with a standard Smolyak sparse grid, based on Clenshaw--Curtis points, for levels $w=0,1,\ldots,5$, see e.g. [[Piazzola et al.,2024]](https://doi.org/10.1145/3630023). 
 
-Sparse grid $$w$$ | number of collocation points    | Estimate of $$\Psi$$ 
-----------------  |-------------------------------- |-------------------
-0                 | 1                               | 0.062255257529767
-1                 | 17                              | 0.064176316082952
-2                 | 145                             | 0.064206407272061
-3                 | 849                             | 0.064202639076811
-4                 | 3937                            | 0.064202350667514
-5                 | 15713                           | 0.064202367186117
+Sparse grid $w$ | Number of collocation points    | Estimate of $\Psi$
+----------------|---------------------------------|-------------------
+0               | 1                               | 0.062255257529767
+1               | 17                              | 0.064176316082952
+2               | 145                             | 0.064206407272061
+3               | 849                             | 0.064202639076811
+4               | 3937                            | 0.064202350667514
+5               | 15713                           | 0.064202367186117
 
 The script available [here](https://github.com/UM-Bridge/benchmarks/tree/main/benchmarks/cookies-problem-propagation/run_forward_benchmark_in_matlab.m) generates the results, using the Sparse Grids Matlab Kit [[Piazzola et al.,2024]](https://doi.org/10.1145/3630023) for generating sparse grids. The Grids Matlab Kit is available on Github [here](https://github.com/lorenzo-tamellini/sparse-grids-matlab-kit) and a dedicated website with full resources including user manual is available [here](https://sites.google.com/view/sparse-grids-kit).