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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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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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Regularization, Optimization, Kernels, and Support Vector Machines

and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers;

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Regularization, Optimization, Kernels, and Support Vector Machines

and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers;

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General-Purpose Optimization Through Information Maximization

be and how they would be constituted. He proposes a functional analysis of program spaces focused through the lens of iterative optimization;

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General-Purpose Optimization Through Information Maximization

be and how they would be constituted. He proposes a functional analysis of program spaces focused through the lens of iterative optimization;

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Vector Space Projections

articles, and offers a systematic treatment of vector space projections. Written by two leading authorities in the field, this self-contained;

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Mathematical Optimization Terminology

vector regression. This book also discusses about gradient-based cuckoo search for global optimization, a hybrid cuckoo search algorithm;

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Classification Analysis of DNA Microarrays

methods now dispersed in the literature. It breaks away from traditional statistical methods by providing chapters on newer machine-learning;

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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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Economic-Mathematical Methods and Models under Uncertainty

-dimensional vector space and the principle piecewise-linear homogeneity of economic process at uncertainty conditions in finite-dimensional vector;

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Economic-Mathematical Methods and Models under Uncertainty

-dimensional vector space and the principle piecewise-linear homogeneity of economic process at uncertainty conditions in finite-dimensional vector;

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Set Optimization and Applications - The State of the Art

vector orders or set relations, to the new complete-lattice approach that comprises a coherent solution concept for set optimization problems;

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;

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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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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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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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Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs

problems. In solving stochastic optimization problems of this type by standard optimization software, the main difficulty is that the objective;

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Differential Geometry

particular reference to developable surfaces and ruled surfaces.The approach is by vector methods throughout, but only the most elementary;

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Linear Parameter-varying System Identification

This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned;

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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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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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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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Global Optimization

Contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic;

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Global Optimization

optimization problems. All methods presented are illustrated by various examples. Practical numerical algorithms are given and analyzed in detail;

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