\( \newcommand{\IN}{\mathbb{N}} \newcommand{\INs}{\mathbb{N}^\ast} \newcommand{\INo}{\mathbb{N}_0} \newcommand{\IZ}{\mathbb{Z}} \newcommand{\IRnn}{\IR_{\geq 0}} \newcommand{\IRsp}{\IR_{\gt 0}} \newcommand{\IR}{\mathbb{R}} \newcommand{\IC}{\mathbb{C}} \newcommand{\A}{\mathcal{A}} \newcommand{\B}{\mathcal{B}} \newcommand{\U}{\mathfrak{U}} \newcommand{\coloneqq}{:=} \newcommand{\coloniff}{:\iff} \newcommand{\Set}[1]{\left\{#1\right\}} \newcommand{\SMid}{\,\middle|\,} \newcommand{\set}[1]{\{#1\}} \newcommand{\smid}{\,|\,} \newcommand{\PSet}[1]{2^{#1}} \newcommand{\supp}{\mathrm{supp}} \newcommand{\dist}[2]{\mathrm{dist}^c_{#1}(#2)} \newcommand{\dists}[2]{{\mathrm{dist}^c_{#1}}'(#2)} \newcommand{\Ind}{{\Large\raise{0pt}{\unicode{x1D7D9}}\,}} \newcommand{\bigO}{\mathcal{O}} \newcommand{\abs}[1]{\left|#1\right|} \newcommand{\norm}[1]{\left\|#1\right\|} \newcommand{\scalar}[2]{\left\langle #1,#2 \right\rangle} \newcommand{\rDeriv}{\partial_+} \newcommand{\lDeriv}{\partial_-} \newcommand{\queue}{q} \newcommand{\Pc}{\mathcal{P}} \newcommand{\Wc}{\mathcal{W}} \newcommand{\diff}{\mathrm{d}} \newcommand{\eps}{\varepsilon} \newcommand{\ql}[1][e]{Q_{#1}} \newcommand{\fvals}[1]{\mathrm{value}(#1)} \newcommand{\fval}[1]{\mathrm{value}(#1)} \newcommand{\ccaps}[1]{\mathrm{capacity}(#1)} \newcommand{\fcosts}[1]{\mathrm{cost}(#1)} \newcommand{\edgesFrom}[1]{\delta^+(#1)} \newcommand{\edgesTo}[1]{\delta^-(#1)} \newcommand{\PathSet}{\mathcal{P}} \newcommand{\CycleSet}{\mathcal{C}} \)
Slides used in the lecture (step through with ← and →):
Dynamic Network Flows - Lecture Slides Lukas Graf (lukas.graf@uni-passau.de)