[UPD] Fix mix-identation problem

Author: frapac

src/SDDPoptimize.jl

@@ -162,10 +162,10 @@ Parameters:
 
 Return:
 - upb (Float64)
-	estimation of upper bound
+    estimation of upper bound
 
 - costs (Vector{Float64})
-	Costs along different trajectories
+    Costs along different trajectories
 
 """
 function estimate_upper_bound(model::SPModel, param::SDDPparameters, V::Vector{PolyhedralFunction}, problem::Vector{JuMP.Model}, n_simulation=1000::Int)

src/SDPoptimize.jl

@@ -258,7 +258,7 @@ function sdp_solve_DH(model::StochDynProgModel,
         println("Starting stochastic dynamic programming decision hazard computation")
     end
 
-	# Loop over time:
+    # Loop over time:
     for t = (TF-1):-1:1
         Vitp = value_function_interpolation(model, V, t+1)
 
@@ -559,9 +559,9 @@ Returns :
 """
 function get_control(model::SPModel,param::SDPparameters,V::Array{Float64}, t::Int64, x::Array)
 
-	if(param.infoStructure != "DH")
-		error("Infostructure must be decision-hazard.")
-	end
+    if(param.infoStructure != "DH")
+        error("Infostructure must be decision-hazard.")
+    end
     SDPmodel = build_sdpmodel_from_spmodel(model)
 
     product_controls = product([SDPmodel.ulim[i][1]:param.controlSteps[i]:SDPmodel.ulim[i][2] for i in 1:SDPmodel.dimControls]...)
@@ -644,9 +644,9 @@ Returns :
 """
 function get_control(model::SPModel,param::SDPparameters,V::Array{Float64}, t::Int64, x::Array, w::Array)
 
-	if(param.infoStructure != "HD")
-		error("Infostructure must be hazard-decision.")
-	end
+    if(param.infoStructure != "HD")
+        error("Infostructure must be hazard-decision.")
+    end
 
     SDPmodel = build_sdpmodel_from_spmodel(model)
 

src/noises.jl

@@ -17,20 +17,20 @@ type NoiseLaw
     support::Array{Float64,2}
     # Probabilities of points:
     proba::Vector{Float64}
-	function NoiseLaw(supportSize, support, proba)
-		supportSize = convert(Int64,supportSize)
-		if ndims(support)==1
-			support = reshape(support,1,length(support))
-		end
-
-		if ndims(proba) == 2
-			proba = vec(proba)
-		elseif  ndims(proba) >= 2
-			proba = squeeze(proba,1)
-		end
-
-		return new(supportSize,support,proba)
-	end
+    function NoiseLaw(supportSize, support, proba)
+        supportSize = convert(Int64,supportSize)
+        if ndims(support)==1
+            support = reshape(support,1,length(support))
+        end
+
+        if ndims(proba) == 2
+            proba = vec(proba)
+        elseif  ndims(proba) >= 2
+            proba = squeeze(proba,1)
+        end
+
+        return new(supportSize,support,proba)
+    end
 
 end