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Table 1 Dimensions of the resulting non-linear programming problems

From: Dynamic estimation of specific fluxes in metabolic networks using non-linear dynamic optimization

Variables

 

Differential state variables p x

4·(n time−1)·(m ext+1)

Algebraic state variables p z

4·(n time−1)·n irr

Spline parameters p u

n g+d·(k+1)

Internal knot locations t knot

n g

Initial values x 0

m ext+1

K matrix values

n·d

Equality constraints

 

Differential state collocation constraints

3·(n time−1)·(m ext+1)

Differential state continuity constraints

(n time−2)·(m ext+1)

Algebraic state collocation constraints

(3·(n time−1)+1)·n irr

Algebraic state continuity constraints

(n time−2)·(n irr)

Initial value constraints

m ext+1

K null space constraints

m int·d

K orthogonality constraints

d · ( d + 1 ) 2