diff --git a/docs/reference/matlab/xfit-head.md b/docs/reference/matlab/xfit-head.md
index db43f52b..62f8d749 100644
--- a/docs/reference/matlab/xfit-head.md
+++ b/docs/reference/matlab/xfit-head.md
@@ -27,36 +27,49 @@ using the built-in `properties` command:
 properties(xf)
 ```
 
-### `x`
+### `best_cost`
+
+
+The best cost holds the lowest value computed by the simulation function during an optimization procedure. This is a read-only property. 
+
+
+
+### `data`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    scalar values | xolotl | 
+| []  |    any | any | 
 
-This property contains a xolotl object. Since xfit uses
-xolotl to run actual simulations, this is necessary for all projects. 
+The `data` property can hold any user-defined data. You may want to use this if your cost function required additional data to measure the cost. For example, if you want to fit a neuron to a specifiy voltage trace, you would store it here. 
 
-### `SimFcn`
+### `engine`
+
+This option determines the optimization algorithm used.
+
+| Engine Name | Engine Keyword |
+| ----------- | -------------- |
+| Pattern Search | `patternsearch` |
+| Particle Swarm | `particleswarm` |
+| Genetic Algorithm | `ga` |
+
+
+
+### `lb` & `ub`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    any | function_handle | 
+| []  |    vectors | double | 
 
-A function handle to the simulation function used to evaluate the model cost.
-The simulation function can be any MATLAB function,
-provided that the following are true:
+`lb` and `ub` are $n$ x 1 vectors of numerical lower bound and upper bound values. During optimization, parameters are bounded between their upper and lower bounds.
 
-* The first output must be the cost, which is a positive, real-valued scalar.
-* The function accepts two arguments, the first of which is a xolotl object.
 
-The function thus has the (minimal) signature:
+### `nonlcon`
 
-```
-function [cost, ...] = functionName(xolotl_object, data)
-```
+Nonlinear inequality and equaity constraints, only supported for engines that support them. To understand how to use these constraints, look at MATLAB's documentation [here](https://www.mathworks.com/help/optim/ug/nonlinear-constraints.html)
 
-When xfit performs a parameter optimization routine,
-it calls the `SimFcn` using the xolotl object stored in the `x` property, which has been set up with trial parameters.
+### `options`
+
+This property is a struct that holds options for the selected optimization engine. It is automatically generated from MATLAB's built-in [optimoptions](https://www.mathworks.com/help/optim/ug/optimization-options-reference.html) function.
 
 ### `parameter_names`
 
@@ -68,6 +81,8 @@ This cell array of character vectors contains the names of xolotl parameters to
 The `find` method of xolotl is the best way to populate this list.
 `seed`, `lb`, and `ub` share one-to-one correspondence with `parameter_names`, so all should be the same dimensions.
 
+
+
 ### `seed`
 
 | Default | Allowed values | Type |
@@ -78,51 +93,41 @@ The seed is an $n$ x 1 vector of numerical parameter values
 for starting an optimization protocol,
 where $n$ is the number of parameters to optimize over.
 
-### `lb` & `ub`
+
+### `SimFcn`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    vectors | double | 
-
-`lb` and `ub` are $n$ x 1 vectors of numerical lower bound and upper bound values. During optimization, parameters are bounded between their upper and lower bounds.
-
-### `options`
-
+| []  |    any | function_handle | 
 
+A function handle to the simulation function used to evaluate the model cost.
+The simulation function can be any MATLAB function,
+provided that the following are true:
 
-This property is a struct that holds options for the selected optimization engine. It is automatically generated from MATLAB's built-in [optimoptions](https://www.mathworks.com/help/optim/ug/optimization-options-reference.html) function.
+* The first output must be the cost, which is a positive, real-valued scalar.
+* The function accepts two arguments, the first of which is a xolotl object.
 
+The function thus has the (minimal) signature:
 
-### `engine`
+```
+function [cost, ...] = functionName(xolotl_object, data)
+```
 
-This option determines the optimization algorithm used.
+When xfit performs a parameter optimization routine,
+it calls the `SimFcn` using the xolotl object stored in the `x` property, which has been set up with trial parameters.
 
-| Engine Name | Engine Keyword |
-| ----------- | -------------- |
-| Pattern Search | `patternsearch` |
-| Particle Swarm | `particleswarm` |
-| Genetic Algorithm | `ga` |
 
 ### `timestamp`
 This property keeps track of the duration of a simulation. This is a read-only property. 
 
-### `best_cost`
-
-
-The best cost holds the lowest value computed by the simulation function during an optimization procedure. This is a read-only property. 
-
-### `data`
+### `x`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    any | any | 
-
-The `data` property can hold any user-defined data. You may want to use this if your cost function required additional data to measure the cost. For example, if you want to fit a neuron to a specifiy voltage trace, you would store it here. 
-
-
-### 'nonlcon'
+| []  |    scalar values | xolotl | 
 
-Nonlinear inequality and equaity constraints, only supported for engines that support them. To understand how to use these constraints, look at MATLAB's documentation [here](https://www.mathworks.com/help/optim/ug/nonlinear-constraints.html)
+This property contains a xolotl object. Since xfit uses
+xolotl to run actual simulations, this is necessary for all projects. 
 
 
 ## Methods
\ No newline at end of file
diff --git a/docs/reference/matlab/xfit.md b/docs/reference/matlab/xfit.md
index ab7c4922..bfba8f84 100644
--- a/docs/reference/matlab/xfit.md
+++ b/docs/reference/matlab/xfit.md
@@ -27,36 +27,49 @@ using the built-in `properties` command:
 properties(xf)
 ```
 
-### `x`
+### `best_cost`
+
+
+The best cost holds the lowest value computed by the simulation function during an optimization procedure. This is a read-only property. 
+
+
+
+### `data`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    scalar values | xolotl | 
+| []  |    any | any | 
 
-This property contains a xolotl object. Since xfit uses
-xolotl to run actual simulations, this is necessary for all projects. 
+The `data` property can hold any user-defined data. You may want to use this if your cost function required additional data to measure the cost. For example, if you want to fit a neuron to a specifiy voltage trace, you would store it here. 
 
-### `SimFcn`
+### `engine`
+
+This option determines the optimization algorithm used.
+
+| Engine Name | Engine Keyword |
+| ----------- | -------------- |
+| Pattern Search | `patternsearch` |
+| Particle Swarm | `particleswarm` |
+| Genetic Algorithm | `ga` |
+
+
+
+### `lb` & `ub`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    any | function_handle | 
+| []  |    vectors | double | 
 
-A function handle to the simulation function used to evaluate the model cost.
-The simulation function can be any MATLAB function,
-provided that the following are true:
+`lb` and `ub` are $n$ x 1 vectors of numerical lower bound and upper bound values. During optimization, parameters are bounded between their upper and lower bounds.
 
-* The first output must be the cost, which is a positive, real-valued scalar.
-* The function accepts two arguments, the first of which is a xolotl object.
 
-The function thus has the (minimal) signature:
+### `nonlcon`
 
-```
-function [cost, ...] = functionName(xolotl_object, data)
-```
+Nonlinear inequality and equaity constraints, only supported for engines that support them. To understand how to use these constraints, look at MATLAB's documentation [here](https://www.mathworks.com/help/optim/ug/nonlinear-constraints.html)
 
-When xfit performs a parameter optimization routine,
-it calls the `SimFcn` using the xolotl object stored in the `x` property, which has been set up with trial parameters.
+### `options`
+
+This property is a struct that holds options for the selected optimization engine. It is automatically generated from MATLAB's built-in [optimoptions](https://www.mathworks.com/help/optim/ug/optimization-options-reference.html) function.
 
 ### `parameter_names`
 
@@ -68,6 +81,8 @@ This cell array of character vectors contains the names of xolotl parameters to
 The `find` method of xolotl is the best way to populate this list.
 `seed`, `lb`, and `ub` share one-to-one correspondence with `parameter_names`, so all should be the same dimensions.
 
+
+
 ### `seed`
 
 | Default | Allowed values | Type |
@@ -78,51 +93,41 @@ The seed is an $n$ x 1 vector of numerical parameter values
 for starting an optimization protocol,
 where $n$ is the number of parameters to optimize over.
 
-### `lb` & `ub`
+
+### `SimFcn`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    vectors | double | 
-
-`lb` and `ub` are $n$ x 1 vectors of numerical lower bound and upper bound values. During optimization, parameters are bounded between their upper and lower bounds.
-
-### `options`
-
+| []  |    any | function_handle | 
 
+A function handle to the simulation function used to evaluate the model cost.
+The simulation function can be any MATLAB function,
+provided that the following are true:
 
-This property is a struct that holds options for the selected optimization engine. It is automatically generated from MATLAB's built-in [optimoptions](https://www.mathworks.com/help/optim/ug/optimization-options-reference.html) function.
+* The first output must be the cost, which is a positive, real-valued scalar.
+* The function accepts two arguments, the first of which is a xolotl object.
 
+The function thus has the (minimal) signature:
 
-### `engine`
+```
+function [cost, ...] = functionName(xolotl_object, data)
+```
 
-This option determines the optimization algorithm used.
+When xfit performs a parameter optimization routine,
+it calls the `SimFcn` using the xolotl object stored in the `x` property, which has been set up with trial parameters.
 
-| Engine Name | Engine Keyword |
-| ----------- | -------------- |
-| Pattern Search | `patternsearch` |
-| Particle Swarm | `particleswarm` |
-| Genetic Algorithm | `ga` |
 
 ### `timestamp`
 This property keeps track of the duration of a simulation. This is a read-only property. 
 
-### `best_cost`
-
-
-The best cost holds the lowest value computed by the simulation function during an optimization procedure. This is a read-only property. 
-
-### `data`
+### `x`
 
 | Default | Allowed values | Type |
 | ------- | ----- | ----- |
-| []  |    any | any | 
-
-The `data` property can hold any user-defined data. You may want to use this if your cost function required additional data to measure the cost. For example, if you want to fit a neuron to a specifiy voltage trace, you would store it here. 
-
-
-### 'nonlcon'
+| []  |    scalar values | xolotl | 
 
-Nonlinear inequality and equaity constraints, only supported for engines that support them. To understand how to use these constraints, look at MATLAB's documentation [here](https://www.mathworks.com/help/optim/ug/nonlinear-constraints.html)
+This property contains a xolotl object. Since xfit uses
+xolotl to run actual simulations, this is necessary for all projects. 
 
 
 ## Methods