-osenseStr – Maximize (‘max’)/minimize (‘min’) (opt, default = ‘max’)
+osenseStr – Maximize (‘max’)/minimize (‘min’) (opt, default = ‘min’)
minNorm – {(0), ‘one’, ‘zero’, > 0 , n x 1 vector}, where [m,n]=size(S);
0 - Default, normal LP,
‘one’ Minimise the Taxicab Norm using LP.
@@ -450,6 +450,12 @@ The COBRA Toolbox
d - k x 1 Right hand side of C*v <= d
ctrs k x 1 Cell Array of Strings giving IDs of the coupling constraints
dsense - k x 1 character array with entries in {L,E,G}
+.evars : evars x 1 Column Cell Array of Strings IDs of the additional variables
+.E : n x evars The additional Variable Matrix
+.evarub: evars x 1 The upper bounds of the variables from E;
+.evarlb: evars x 1 The lower bounds of the variables from E;
+.evarc : evars x 1 The objective coefficients of the variables from E;
+.D : k x evars The matrix coupling additional Constraints (form C), with additional Variables (from E);
g0 - n x 1 weights on zero norm, where positive is minimisation, negative is maximisation, zero is neither.
g1 - n x 1 weights on one norm, where positive is minimisation, negative is maximisation, zero is neither.
g2 - n x 1 weights on two norm
diff --git a/stable/modules/analysis/exploration/index.html b/stable/modules/analysis/exploration/index.html
index 5350ee3b51..8af64d68d3 100644
--- a/stable/modules/analysis/exploration/index.html
+++ b/stable/modules/analysis/exploration/index.html
@@ -974,13 +974,11 @@ The COBRA Toolbox
reactionNames in the model (same order).