Fixed links and some clean up.

README.md

@@ -7,72 +7,62 @@ This library is written for Arduino, but there is very little specific Arduino
 code in there, so it should be easy to adapt for other platforms.
 
 Support for integer and byte tables (small footprint and much faster than
-floats on a platform without FPU) requires libfixmath.
-
-See:
-
-[https:en.wikipedia.org/wiki/Libfixmath](https:en.wikipedia.org/wiki/Libfixmath)
-
-[https:github.com/PetteriAimonen/libfixmath](https:github.com/PetteriAimonen/libfixmath)
-
-And my repository for an Arduino version:
-
-[https:github.com/l4m4re/Arduino_fixpt](https:github.com/l4m4re/Arduino_fixpt)
+floats on a platform without FPU) requires
+[Libfixmath](https:en.wikipedia.org/wiki/Libfixmath).  Also see
+[PetteriAimonen/libfixmath](https:github.com/PetteriAimonen/libfixmath) and
+[my repository for an Arduino version](https:github.com/l4m4re/Arduino_fixpt)
 
 
 Description:
 ------------
 
 Maps or lookup tables (LUTs) are used to approximate a multidimensional
 function y = f(X), with y a single dimensional value and X an n dimensional
-vector X = (x1, x2, ... xn). Usually, this technique is used to either
-speed up te computation of computationally expensive functions (such as
-sin, cos or tan) or to approximate functions with unkown characteristics.
+vector X = (x1, x2, ... xn). Usually, this technique is used to either speed
+up te computation of computationally expensive functions (such as sin, cos or
+tan) or to approximate functions with unkown characteristics.
 
-For the one dimensional case, two arrays are used to store a number of
-known values for y = f(x), as follows::
+For the one dimensional case, two arrays are used to store a number of known
+values for y = f(x), as follows:
 
-  ys[i] = f( xs[i] )
+    ys[i] = f( xs[i] )
 
-For the two dimensional case, three arrays are used to store a number of
-known values for y = f(X) = f(x1,x2), as follows::
+For the two dimensional case, three arrays are used to store a number of known
+values for y = f(X) = f(x1,x2), as follows::
 
-  ys[i][j] = f( x1s[i], x2s[j] )
+    ys[i][j] = f( x1s[i], x2s[j] )
 
-In order to approximate f(X) at any point within the range of stored
-values, we search the xs array(s) to find the nearest known X-es and
-lineary interpolate the known result stored in the ys array.    
+In order to approximate f(X) at any point within the range of stored values,
+we search the xs array(s) to find the nearest known X-es and lineary
+interpolate the known result stored in the ys array.    
 
 In the case of control systems for automotive applications, the
 characteristics of an actual engine cannot be easily computed analytically,
 but it is possible to measure the behavior of an engine and use that to
 compute a table of a number of known function values for a number of known
 input values, which can then be used to approximate the function.
 
-An example of such a function is the Volumetric Efficiency (VE) of an
-engine as a function of RPM and the pressure in the inlet manifold:
-
-[https:en.wikipedia.org/wiki/Volumetric_efficiency](https:en.wikipedia.org/wiki/Volumetric_efficiency)
+An example of such a function is the [Volumetric_efficiency
+(VE)](https:en.wikipedia.org/wiki/Volumetric_efficiency) of an engine as a
+function of RPM and the pressure in the inlet manifold:
 
-"Volumetric efficiency in an internal combustion engine design refers to
-the efficiency with which the engine can move the charge of fuel and air
-into and out of the cylinders. It also denotes the ratio of air volume
-drawn into the cylinder to the cylinder's swept volume."
+"Volumetric efficiency in an internal combustion engine design refers to the
+efficiency with which the engine can move the charge of fuel and air into and
+out of the cylinders. It also denotes the ratio of air volume drawn into the
+cylinder to the cylinder's swept volume."
 
 In this case, the 2 dimensional function to approximate would be: 
 
-   ve = f( rpm, p )  
+    ve = f( rpm, p )  
 
 While this is a 2 dimensional function with respect to the number of input
-parameters, it defines a relation between 3 parameters (including the
-output) and thus it is common to refer to such a mapping as a 3D map, often
-called a "fuel map" in the automotive world. Such maps are extensively used
-in engine control systems and largely determine the behavior of the control
-system and therefore play a most important role in engine tuning. For a
-short introduction in engine tuning and how maps/tables are vizualised and
-edited, see:
-
-[https:speeduino.com/wiki/index.php/Tuning](https:speeduino.com/wiki/index.php/Tuning)  
+parameters, it defines a relation between 3 parameters (including the output)
+and thus it is common to refer to such a mapping as a 3D map, often called a
+"fuel map" in the automotive world. Such maps are extensively used in engine
+control systems and largely determine the behavior of the control system and
+therefore play a most important role in engine tuning. For a short
+introduction in engine tuning and how maps/tables are vizualised and edited,
+see [Speeduino Tuning](https:speeduino.com/wiki/index.php/Tuning).