fix broken link

updated links
alphaville · Apr 17, 2020 · 79e1210 · 79e1210
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diff --git a/.gitignore b/.gitignore
@@ -36,7 +36,7 @@ open-clib/Cargo.lock
 *.rs.bk
 
 # Docusaurus website (autogenerated files)
-/website/
+/website/build/
 !/website/pages/
 !/website/static/
 !/website/*.js

diff --git a/docs/installation.md b/docs/installation.md
@@ -16,12 +16,12 @@ description: How to install OpEn
 
 Before you start, you need to install
 
-* **Rust**, following the official [installation guide](https://www.rust-lang.org/tools/install),
+* **Rust**, following the official <a href="https://www.rust-lang.org/tools/install" rel="nofollow" target="blank">installation guide</a>,
   - Why? The Rust compiler is an essential component of OpEn; you will most likely
     not need to write (or compile yourself) any Rust code, but OpEn's Python/MATLAB
     interface will need the compiler to build your optimizer
-* **clang**, following this [guide](https://github.com/rust-lang/rust-bindgen/blob/master/book/src/requirements.md)
-  - Why? OpEn uses CasADi to build certain functions in C, which then need to be 
+* **clang**, following this <a href="https://github.com/rust-lang/rust-bindgen/blob/master/book/src/requirements.md" rel="nofollow" target="blank">guide</a>
+  - Why? OpEn uses CasADi to build certain functions in C, which then need to be
     called from OpEn's core solver in Rust. For that purpose we need **bindgen**,
     which requires **clang**
 
@@ -36,13 +36,13 @@ pip install opengen
 You might need to prepend `sudo` on some Linux systems.
 
 Note that OpEn requires Python **version 3.5 or newer**. You might, therefore,
-need to install it using 
+need to install it using
 
 ```console
 pip3 install opengen
 ```
 
-OpEn may run on earlier versions of Python (as old as 2.7), but we cannot promise 
+OpEn may run on earlier versions of Python (as old as 2.7), but we cannot promise
 you that (the main difficulty being the installation of dependencies).
 
 ### Python installation with virtualenv
@@ -58,17 +58,17 @@ pip install opengen
 ```
 
 ## MATLAB Interface
-You first need to download [Optimization Engine](https://github.com/alphaville/optimization-engine/archive/master.zip), `cd` to `./matlab/` and run 
+You first need to download [Optimization Engine](https://github.com/alphaville/optimization-engine/archive/master.zip), `cd` to `./matlab/` and run
 
 ```matlab
 setup_open
 ```
 
 This will include to your MATLAB path all necessary folders.
 
-You also need to [**download and install CasADi**](https://web.casadi.org/).
+You also need to <a href="https://web.casadi.org/" target="_blank"><b>download and install CasADi</b></a>.
 
-## OpEn in Rust 
+## OpEn in Rust
 To use **OpEn** in your Rust project, add the following in your project's `Cargo.toml` file:
 
 ```
@@ -77,4 +77,4 @@ optimization_engine = "*"
 ```
 
 You may replace the asterisk with some particular version (e.g., `optimization_engine = "0.6.0"`).
-**OpEn** is available on [crates.io](https://crates.io/crates/optimization_engine).
+**OpEn** is available on <a href="https://crates.io/crates/optimization_engine">crates.io</a>.
diff --git a/website/pages/en/index.js b/website/pages/en/index.js
@@ -14,7 +14,7 @@ const { MarkdownBlock, GridBlock, Container } = CompLibrary; /* Used to read mar
 const siteConfig = require(`${process.cwd()}/siteConfig.js`);
 
 function docUrl(doc, language) {
-  return `${siteConfig.baseUrl}${language ? `${language}/` : ""}${doc}`;
+  return `${siteConfig.baseUrl}docs/${doc}`;
 }
 
 function imgUrl(img) {
@@ -81,7 +81,7 @@ class HomeSplash extends React.Component {
         <div className="inner">
           <ProjectTitle />
           <PromoSection>
-            <Button href={docUrl("docs/open-intro", language)}>
+            <Button href={docUrl("open-intro", language)}>
               Get Started
             </Button>
           </PromoSection>
@@ -134,7 +134,7 @@ const FeaturesTop = props => (
         title: "Accurate"
       },
       {
-        content: "**Sub-millisecond** fast numerical nonconvex optimization tested on several platforms: check out our <a href='https://arxiv.org/abs/2003.00292'>benchmarks</a>.",
+        content: "**Sub-millisecond** fast numerical nonconvex optimization tested on several platforms: check out our <a href='https://arxiv.org/abs/2003.00292' target='_blank'>benchmarks</a>.",
         image: imgUrl("rocket.svg"),
         imageAlt: "small rocket icon black and white",
         imageAlign: 'top',
@@ -162,7 +162,7 @@ const FeaturesTopTwo = props => (
         title: "Community"
       },
       {
-        content: "**Well documented** with lots of examples. Among 10% best documented open-source Rust projects according to <a href='https://www.openhub.net/p/optimization-engine/factoids#FactoidCommentsVeryHigh'>openhub</a>.",
+        content: "**Well documented** with lots of examples. Among 10% best documented open-source Rust projects according to <a href='https://www.openhub.net/p/optimization-engine/factoids#FactoidCommentsVeryHigh' target='_blank'>openhub</a>.",
         image: imgUrl("saturn.png"),
         imageAlt: "saturn icon black and white",
         imageAlign: 'top',
@@ -201,7 +201,7 @@ const MovingHorizonEstimation = props => (
   <Block className="oneColumn">
     {[
       {
-        content: "<div style='text-align:left'><p><a href='https://en.wikipedia.org/wiki/Moving_horizon_estimation' target='_blank'><b>Moving Horizon Estimation</b></a> (MHE) is the bee's knees of nonlinear estimation: it is an optimization-based estimator for constrained nonlinear systems. MHE is backed by a strong theoretical bedrock that combines maximum likelihood estimation and dynamic programming; however, its applicability has been hampered by the associated computational burden and has limited its use to slow or linear dynamical systems. OpEn can unlock the huge potential of MHE and facilitate its use in robotics, automotive, aerospace and other applications with high sampling frequencies.</p></div><img width=500 src='img/mhe.png' alt='estimation of the state of Lorenz system with nonlinear moving horizon estimation'/>",
+        content: "<div style='text-align:left'><p><a href='https://en.wikipedia.org/wiki/Moving_horizon_estimation' target='_blank'><b>Moving Horizon Estimation</b></a> (MHE) is the bee's knees of nonlinear estimation: it is an optimization-based estimator for constrained nonlinear systems. MHE is backed by a strong theoretical bedrock that combines Bayesian estimation and dynamic programming; however, its applicability has been hampered by the associated computational burden and has limited its use to slow or linear dynamical systems. OpEn can unlock the huge potential of MHE and facilitate its use in robotics, automotive, aerospace and other applications with high sampling frequencies.</p></div><img width=500 src='img/mhe.png' alt='estimation of the state of Lorenz system with nonlinear moving horizon estimation'/>",
         title: "Moving Horizon Estimation"
       }
     ]}
@@ -232,7 +232,7 @@ meta = og.config.OptimizerMeta()  \\
 solver_config = og.config.SolverConfiguration()  \\
     .with_tolerance(1e-5)
 builder = og.builder.OpEnOptimizerBuilder(problem, meta,
-                                          build_config, 
+                                          build_config,
                                           solver_config)
 builder.build()
     `;
@@ -256,7 +256,7 @@ class Index extends React.Component {
             <Container background="light">
               <FeaturesTop />
               <FeaturesTopTwo />
-            </Container>                    
+            </Container>
           </div>
           <Container>
               <SuperFastBlock />
@@ -270,4 +270,3 @@ class Index extends React.Component {
 }
 
 module.exports = Index;
-