Tomasz Radzik. (2001). Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problem; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; Neural networks for combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problems; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization; Stochastic integer programs FRACTIONAL COMBINATORIAL OPTIMIZATION: FCO. Springer US, 2001. https://doi.org/10.1007/0-306-48332-7_144

TOMASZ RADZIK, 2001. Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problem; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; Neural networks for combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problems; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization; Stochastic integer programs FRACTIONAL COMBINATORIAL OPTIMIZATION: FCO. Springer US, 2001.

Tomasz Radzik. Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problem; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; Neural networks for combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problems; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization; Stochastic integer programs FRACTIONAL COMBINATORIAL OPTIMIZATION: FCO. Springer US, 2001., 2001, https://doi.org/10.1007/0-306-48332-7_144.

Tomasz Radzik: Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problem; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; Neural networks for combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problems; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization; Stochastic integer programs FRACTIONAL COMBINATORIAL OPTIMIZATION: FCO, 2001.

Tomasz Radzik. (2001), Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problem; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; Neural networks for combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization Bilevel fractional programming; Combinatorial matrix analysis; Combinatorial optimization algorithms in resource allocation problems; Combinatorial optimization games; Complexity classes in optimization; Complexity of degeneracy; Complexity of gradients, Jacobians, and Hessians; Complexity theory; Complexity theory: Quadratic programming; Computational complexity theory; Evolutionary algorithms in combinatorial optimization; Fractional programming; Information-based complexity and information-based optimization; Kolmogorov complexity; Mixed integer nonlinear programming; Multi-objective combinatorial optimization; NP-complete problems and proof methodology; Parallel computing: Complexity classes; Quadratic fractional programming: Dinkelbach method; Replicator dynamics in combinatorial optimization; Stochastic integer programs FRACTIONAL COMBINATORIAL OPTIMIZATION: FCO, Bd. , Springer US, 2001., verfügbar unter:https://doi.org/10.1007/0-306-48332-7_144.