Lots of tiny tweaks

Author: ChrisRackauckas

docs/pages.jl

@@ -6,10 +6,8 @@ pages = Any["index.md",
                                "tutorials/rode_example.md",
                                "tutorials/dde_example.md",
                                "tutorials/dae_example.md",
-                               "tutorials/discrete_stochastic_example.md",
                                "tutorials/jump_diffusion.md",
-                               "tutorials/bvp_example.md",
-                               "tutorials/additional.md"],
+                               "tutorials/bvp_example.md"],
             "Examples" => Any["Beginner" => Any["examples/classical_physics.md",
                                                 "examples/conditional_dosing.md",
                                                 "examples/kepler_problem.md",
@@ -38,16 +36,14 @@ pages = Any["index.md",
                                    "types/rode_types.md",
                                    "types/dde_types.md",
                                    "types/sdde_types.md",
-                                   "types/dae_types.md",
-                                   "types/jump_types.md"],
+                                   "types/dae_types.md"],
             "Solver Algorithms" => Any["solvers/discrete_solve.md",
                                        "solvers/ode_solve.md",
                                        "solvers/nonautonomous_linear_ode.md",
                                        "solvers/dynamical_solve.md",
                                        "solvers/split_ode_solve.md",
                                        "solvers/steady_state_solve.md",
                                        "solvers/bvp_solve.md",
-                                       "solvers/jump_solve.md",
                                        "solvers/sde_solve.md",
                                        "solvers/sdae_solve.md",
                                        "solvers/rode_solve.md",

docs/src/examples/spiking_neural_systems.md

@@ -360,4 +360,4 @@ plot(sol, vars=[5,6])
 Just changing those two time constants has changed the dynamics to short-term depression. This is still frequency dependent. Changing these parameters can generate a variety of different short-term dynamics.
 
 ## Summary
-That's it for now. Thanks for making it this far. If you want to learn more about neuronal dynamics, [this is a great resource](https://neuronaldynamics.epfl.ch/online/index.html). If you want to learn more about Julia check out the [official website](https://julialang.org/) and to learn more about the DifferentialEquations package you are in the right place, because this chapter is part of a [larger tutorial series about just that](https://github.com/SciML/SciMLTutorials.jl).
+That's it for now. Thanks for making it this far. If you want to learn more about neuronal dynamics, [this is a great resource](https://neuronaldynamics.epfl.ch/online/index.html).

docs/src/getting_started.md

@@ -225,13 +225,6 @@ using Plots
 plot(sol)
 ```
 
-If you are in Juno, this will plot to the plot pane. To open an interactive GUI
-(dependent on the backend), use the `gui` command:
-
-```julia
-gui()
-```
-
 The plot function can be formatted using [the attributes available in Plots.jl](https://juliaplots.github.io/).
 Additional DiffEq-specific controls are documented [at the plotting page](@ref plot).
 

docs/src/index.md

@@ -1,4 +1,4 @@
-# DifferentialEquations.jl: Scientific Machine Learning (SciML) Enabled Simulation and Estimation
+# DifferentialEquations.jl: Efficient Differential Equation Solving in Julia
 
 This is a suite for numerically solving differential equations written in Julia
 and available for use in Julia, Python, and R. The
@@ -94,7 +94,7 @@ be grateful if you could cite our work.
 
 is necessary for any use of DifferentialEquations.jl or the packages that are
 maintained as part of its suite (OrdinaryDiffEq.jl, Sundials.jl, DiffEqDevTools.jl, etc.).
-Additionally, many of the solvers utilize novel algorithms, and if these algorithms 
+Additionally, many of the solvers utilize novel algorithms, and if these algorithms
 are used we asked that you cite the methods. [Please see our citation page for guidelines](http://sciml.ai/citing.html).
 
 ## Getting Started: Installation And First Steps
@@ -194,21 +194,6 @@ installation of DifferentialEquations.jl will happen on the first invocation of
 Currently, use from R supported a subset of DifferentialEquations.jl which is documented
 [through CRAN](https://cran.r-project.org/web/packages/diffeqr/index.html).
 
-### IJulia Notebook Tutorials
-
-You can access extra tutorials supplied in the
-[DiffEqTutorials.jl repository](https://github.com/SciML/DiffEqTutorials.jl)
-via the commands:
-
-```julia
-using Pkg
-pkg"add https://github.com/SciML/SciMLTutorials.jl"
-using SciMLTutorials
-SciMLTutorials.open_notebooks()
-```
-
-Or you can view the webpages for the rendered tutorials at the links found in the repository.
-
 ### Video Tutorial
 
 [![Video Tutorial](https://user-images.githubusercontent.com/1814174/36342812-bdfd0606-13b8-11e8-9eff-ff219de909e5.PNG)](https://youtu.be/KPEqYtEd-zY)
@@ -243,7 +228,7 @@ such as `OrdinaryDiffEq.jl` for the pure Julia ODE solvers, and decrease the com
 the rest (note: the interface is exactly the same, except using a solver other than those in OrdinaryDiffEq.jl
 will error). We recommend that downstream packages only rely on exactly the packages they need.
 
-The other strategy is to use [PackageCompiler.jl](https://julialang.github.io/PackageCompiler.jl/dev/) to create 
+The other strategy is to use [PackageCompiler.jl](https://julialang.github.io/PackageCompiler.jl/dev/) to create
 a system image that precompiles the whole package. To do this, one simply does:
 
 ```julia
@@ -253,7 +238,7 @@ PackageCompiler.create_sysimage([:DifferentialEquations,:Plots];replace_default=
 
 Note that there are some drawbacks to adding a package in your system image, for example
 the package will never update until you manually rebuild the system image again. For more
-information on the consequences, 
+information on the consequences,
 [see this portion of the PackageCompiler manual](https://julialang.github.io/PackageCompiler.jl/dev/sysimages/#Drawbacks-to-custom-sysimages-1)
 
 ### Basics
@@ -411,7 +396,7 @@ Pkg.status(;mode = PKGMODE_MANIFEST) # hide
 </details>
 ```
 ```@raw html
-You can also download the 
+You can also download the
 <a href="
 ```
 ```@eval

docs/src/solvers/jump_solve.md

@@ -1,3 +1,5 @@
 # Jump Diffusion Equations
 
-See the [JumpProcesses.jl](https://docs.sciml.ai/JumpProcesses/stable/tutorials/jump_diffusion/) documentation for more information about jump diffusion.
+```@raw html
+<meta http-equiv="Refresh" content="0; url='https://docs.sciml.ai/JumpProcesses/stable/tutorials/jump_diffusion/'" />
+```

docs/src/tutorials/additional.md

@@ -1,3 +1,3 @@
 ```@raw html
-<meta http-equiv="Refresh" content="0; url='../getting_started.html'" />
+<meta http-equiv="Refresh" content="0; url='../getting_started'" />
 ```