Discrete Applied Mathematics
Discrete Applied Mathematics（2017）
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and object representations,health,computational logic,algorithms,design,number-theoretic computations,multidimensional,graph and tree search strategies,nonnumerical algorithms and problems,constrained optimization,scheduling,surface,models of computation,applications,curve,experimentation,solid,combinatorics,security,miscellaneous,routing and layout,reducibility and completeness,documentation,mathematical logic,trees,integer programming,set theory,verification,linear approximation,numerical linear algebra,information theory,problem solving,complexity measures and classes,operations on languages,graph algorithms,algorithm design and analysis,systems and information theory,measurement,general,languages,formal languages,parallel algorithms,computations on matrices,optimization,graph labeling,problem solving, control methods, and search,modes of computation,analysis of algorithms,management,path and circuit problems,counting problems,approximation,routing protocols,probabilistic algorithms,reliability,theory,combinatorial algorithms,computations on discrete structures,computations in finite fields,sequencing and scheduling,linear systems,graph theory,network problems,hypergraphs,economics,geometrical problems and computations,control methods,and systems,types of simulation,geometric algorithms,performance,numerical algorithms and problems,and search
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