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Submodular Functions and Optimization

submodular functions, which is essential to students and researchers interested in combinatorial optimization, discrete mathematics, and discrete;

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Submodularity in Dynamics and Control of Networked Systems

functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large;

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Nonlinear Combinatorial Optimization

Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find;

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Nonlinear Combinatorial Optimization

Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find;

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Discrete Convex Analysis

) and combinatorial optimization (matroidsubmodular function theory) to establish a unified theoretical framework for nonlinear discrete;

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Research Trends in Combinatorial Optimization

breadth of topics is typical for the eld: combinatorial optimization builds bridges between areas like combinatorics and graph theory, submodular;

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Algorithms for Convex Optimization

optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential;

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Algorithms for Convex Optimization

optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential;

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Combinatorial Optimization

This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good;

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Pseudolinear Functions and Optimization

Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex;

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Pseudolinear Functions and Optimization

Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex;

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Facets of Combinatorial Optimization

submodular objective functions and more general mixed-integer nonlinear optimization problems. Applications include VLSI layout design, systems;

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Optimization for Data Analysis

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic;

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Scalarization and Separation by Translation Invariant Functions

to vector optimization, set-valued optimization, and optimization under uncertainty, by fundamental statements in nonlinear functional;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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New Optimization Algorithms and their Applications

New Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new;

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Convex Optimization

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems;

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Optimization

optimization, and optimal con trol problems. The unifying thread in the presentation consists of an abstract theory, within which optimality;

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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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Computational Optimization and Applications

different fields of optimization and practitioners who need reliable and efficient computational optimization methods. This volume presents a;

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Global Optimization

benchmark test problems and applications of global optimization, such as finding the conformation of a molecule or planning an optimal trajectory;

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Stochastic Global Optimization

Optimization has played a key role in the design, planning and operation of chemical and related processes, for several decades. Global;

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Fixed Point Theory, Variational Analysis, and Optimization

Fixed Point Theory, Variational Analysis, and Optimization not only covers three vital branches of nonlinear analysis-fixed point theory;

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Stochastic Optimization Techniques

volume of the 4th GAMM/IFIP-Workshop on Stochastic Optimization: Numerical Methods and Technical Applications held June 27-29, 2000 at the;

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Evolutionary Computation with Biogeography-based Optimization

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO;

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