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Vector Optimization with Infimum and Supremum

The theory of Vector Optimization is developed by a systematic usage of infimum and supremum. In order to get existence and appropriate;

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The Symphony of Primes, Distribution of Primes and Riemann's Hypothesis

This book presents research results concerning the distribution of prime numbers. The first major result discussed is the supremum for the;

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Inequalities In Analysis And Probability

inequalities in vector and functional spaces with applications to probability. It also develops new extensions of the analytical inequalities, with;

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Inequalities In Analysis And Probability (Third Edition)

The book introduces classical inequalities in vector and functional spaces with applications to probability. It develops new analytical;

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Set Optimization and Applications - The State of the Art

This volume presents five surveys with extensive bibliographies and six original contributions on set optimization and its applications;

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Recent Advances and Historical Development of Vector Optimization

In vector optimization one investigates optimization problems in an abstract setting which have a not necessarily real-valued objective;

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Support Vector Machines

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Sequential Stochastic Optimization

Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic;

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Optimization by Vector Space Methods

problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory;

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Pseudolinear Functions and Optimization

-pseudolinear and semi-infinite pseudolinear optimization problems. The authors go on to explore the relationships between vector variational;

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Pseudolinear Functions and Optimization

-pseudolinear and semi-infinite pseudolinear optimization problems. The authors go on to explore the relationships between vector variational;

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Variational Analysis and Set Optimization

This book contains the latest advances in variational analysis and set / vector optimization, including uncertain optimization, optimal;

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Variational Analysis and Set Optimization

This book contains the latest advances in variational analysis and set / vector optimization, including uncertain optimization, optimal;

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Mathematical Optimization Terminology

of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;

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Duality in Optimization and Variational Inequalities

optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational;

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Duality in Optimization and Variational Inequalities

optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational;

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Calculus

of differential and integral calculus, mathematical modeling and optimization, ordinary differential equations, differential calculus for vector valued;

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Selected Applications of Convex Optimization

This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter;

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Modeling, Computation And Optimization

of advertising, application of reliability models in economics, support vector machines, optimization, complementarity modeling and games.;

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Supremum & Stability of Weighted Pseudoinverses & Weighted Least Squares Problems

scientists and engineers with powerful tools in solving their scientific problems using computers, and is expected to continue to increase well;

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Tuning Innovation with Biotechnology

This book deals with evolving intelligence systems and their use in immune algorithm (IM), particle swarm optimization (PSO), bacterial;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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Cones and Duality

(but from a different perspective) with functional analysis and operator theory. Before the 1950s, ordered vector spaces appeared in the;

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Matrix, Numerical, and Optimization Methods in Science and Engineering

Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text;

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Optimization Techniques and Applications with Examples

intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the;

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