diff --git a/ENUME/projectC/adamspc.m b/ENUME/projectC/adamspc.m
index 83018aa1..1e4b777d 100644
--- a/ENUME/projectC/adamspc.m
+++ b/ENUME/projectC/adamspc.m
@@ -1,6 +1,6 @@
 function x = adamspc(functs, init, interval, stepsize)
     % obtain first five steps from RK4
-    [x, derivs] = rk4(functs, init, interval, stepsize, 5);
+    [x, derivs] = RK4(functs, init, interval, stepsize, 5);
     x = x(2:end, :);
     
     % define coefficient tables
diff --git a/ENUME/projectC/rk4.m b/ENUME/projectC/rk4.m
deleted file mode 100644
index 7b6bb04e..00000000
--- a/ENUME/projectC/rk4.m
+++ /dev/null
@@ -1,49 +0,0 @@
-% solve ODE system using RK4 with constant step size
-function [x, derivativesTable] = RK4(equations, initialValues, interval, stepSize, maxSteps)
-    x = initialValues;
-
-    derivativesTable = buildDerivatiesTable(x, equations);
-    
-    % Calculate stepCount
-    stepCount = ceil((interval(2) - interval(1)) / stepSize);
-    if nargin == 5
-        stepCount = min(stepCount, maxSteps - 1);
-    end % IF we include max steps in our function input
-    % (nargin is number of arguments in input)
-    % then choose smaller number between maxSteps and stepCount and choose
-    % it for stepCount
-
-    [x, derivativesTable] = rk4Loop(x, stepCount, stepSize, equations, derivativesTable);
-
-    
-    % append arguments to output
-    x = [interval(1):stepSize:(stepCount * stepSize); x];
-end
-
-function derivativesTable = buildDerivatiesTable(x, equations)
-    derivativesTable = zeros(size(x));
-    for eqnum = 1:size(equations, 1)
-        derivativesTable(eqnum, 1) = equations{eqnum}(x(:, 1));
-    end
-end
-
-function [x, derivativesTable] = rk4Loop(x, stepCount, stepSize, equations, derivativesTable)
-    for step = 1 : stepCount
-        [x, derivativesTable] = rk4stepLoop(x, step, equations, stepSize, derivativesTable);
-    end
-end
-
-function [x, derivativesTable] = rk4stepLoop(x, step, equations, stepSize, derivativesTable)
-    stepValue = x(:, step);
-    [x, derivativesTable] = equationsLoop(x, equations, stepValue, stepSize, step, derivativesTable);
-
-end
-
-function [x, derivativesTable] = equationsLoop(x, equations, stepValue, stepSize, step, derivativesTable)
-    for equationNumber = 1 : 2
-        Phi = RK4Phi(equations{equationNumber}, stepValue, stepSize);
-        x(equationNumber, step + 1) = x(equationNumber, step) + stepSize * Phi;
-        
-        derivativesTable(equationNumber, step + 1) = equations{equationNumber}(x(:, step + 1));
-    end
-end
\ No newline at end of file
diff --git a/ENUME/projectC/rk4auto.m b/ENUME/projectC/rk4auto.m
deleted file mode 100644
index ba4bd559..00000000
--- a/ENUME/projectC/rk4auto.m
+++ /dev/null
@@ -1,61 +0,0 @@
-% automatic step size variant of RK4
-function [x, sizes, errors] = RK4Automatic(equations, initialValues, interval, initialStepSize, relativeEpsilon, absoluteEpsilon)
-    % set start points of output
-    args = interval(1);
-    x = initialValues;
-    
-    % initialize output plots
-    sizes = double.empty();
-    errors = double.empty();
-    
-    % integrate function until end of interval reached
-    stepsize = initialStepSize;
-    step = 0;
-    while 1
-        % obtain the preceding function values
-        step = step + 1;
-        stepval = x(:, step);
-        
-        % advance output function
-        for eqnum = 1:size(equations, 1)
-            % generic single-step iteration
-            phi = RK4Phi(equations{eqnum}, stepval, stepsize);
-            x(eqnum, step + 1) = x(eqnum, step) + stepsize * phi;
-        end
-        
-        % stop algorithm if function integrated over the whole interval
-        args(step + 1) = args(step) + stepsize;
-        if args(end) >= interval(2); break; end
-        
-        % also calculate next step using two half-steps
-        for substep = 1:2
-            for eqnum = 1:size(equations, 1)
-                phi = RK4Phi(equations{eqnum}, stepval, stepsize / 2);
-                stepval(eqnum) = stepval(eqnum) + (stepsize / 2) * phi;
-            end
-        end
-        
-        % calculate step correction factor
-        alpha = Inf;
-        for eqnum = 1:size(equations, 1)
-            % calculate approximation error
-            delta = abs(stepval(eqnum) - x(eqnum, step + 1)) / 15;
-            errors(step) = delta;
-            
-            % calculate equation-specific alpha
-            epsilon = abs(stepval(eqnum)) * relativeEpsilon + absoluteEpsilon;
-            eqalpha = epsilon / delta;
-            
-            % minimum alpha wins
-            if eqalpha < alpha; alpha = eqalpha; end
-        end
-        alpha = alpha ^ (1/5);
-        
-        % correct step size with safety factor
-        stepsize = 0.9 * alpha * stepsize;
-        sizes(step) = stepsize;
-    end
-    
-    % append arguments to output
-    x = [args; x];
-end