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Genericity In Polynomial Optimization

explains recent developments from singularity theory and semi-algebraic geometry for studying polynomial optimization problems. Classes of generic;

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Handbook on Semidefinite, Conic and Polynomial Optimization

optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time;

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Combinatorial Optimization Problems in Planning and Decision Making

second polynomial component of the PSC-algorithm); also, for NP-hard combinatorial optimization problems, an exact subalgorithm if sufficient;

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Manifestations of Genericity

the existence of episodic genericity, existential presuppositions, and contextual restrictions of generics.;

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Manifestations of Genericity

the existence of episodic genericity, existential presuppositions, and contextual restrictions of generics.;

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Analysis and Control of Polynomial Dynamic Models with Biological Applications

, matrices and optimization) to solve problems in the biological sciences (in particular, dynamic analysis and controller design of QP and polynomial;

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Paradigms of Combinatorial Optimization

, that presents the severalmethodological approaches that fertilize and are fertilized byCombinatorial optimization such as: Polynomial;

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Genericity in Nonlinear Analysis

, economics, finance, and medicine. The text may be used as supplementary material for graduate courses in nonlinear functional analysis, optimization;

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Interior Point Polynomial Methods in Convex Programming

Written for specialists working in optimization, mathematical programming, or control theory. The general theory of path-following and;

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Optimization of Linear Control Systems

Lyapunov and Riccati equations, polynomial matrix factorization) and illustrates the effectiveness of these algorithms by examples in the field;

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Mathematical Software -- ICMS 2016

toric geometry; algebraic geometry in applications; software of polynomial systems; software for numerically solving polynomial systems; high;

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Lectures on Convex Optimization

powerful approaches in structural optimization, including optimization in relative scale and polynomial-time interior-point methods, are also;

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Reliability-based Structural Design

method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions;

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Arc-Search Techniques for Interior-Point Methods

This book discusses an important area of numerical optimization, called interior-point method. This topic has been popular since the 1980s;

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Arc-Search Techniques for Interior-Point Methods

This book discusses an important area of numerical optimization, called interior-point method. This topic has been popular since the 1980s;

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Trends in Optimization

This volume presents proceedings from the AMS short course, Trends in Optimization 2004, held at the Joint Mathematics Meetings in Phoenix;

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Discrete Geometry and Optimization

stated that the question of the existence of a strongly polynomial time algorithm for linear optimization is one of the most important unsolved;

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Optimization Under Uncertainty with Applications to Aerospace Engineering

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex;

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Complexity and Approximation: In Memory of Ker-I Ko

the computation of Turing machines. He contributed significantly to advancing the theory of structural complexity, especially on polynomial;

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An Introduction to Polynomial and Semi-Algebraic Optimization

This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems (and some related;

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Computer-Controlled Systems with Delay

(SD) systems with delay. It is based on the frequency polynomial method, in which the concept of a parametric transfer matrix (PTM) plays a;

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Computer-Controlled Systems with Delay

(SD) systems with delay. It is based on the frequency polynomial method, in which the concept of a parametric transfer matrix (PTM) plays a;

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Lectures on Modern Convex Optimization

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and;

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Intro Polynomial Semi Algebraic Optmiztn

This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems (and some related;

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Foundations of Applied Mathematics, Volume 2

Fourier series, wavelets, and polynomial approximation; and the theory and practice of optimization, including dynamic optimization. When used;

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Polynomial Operator Equations in Abstract Spaces and Applications

Polynomial operators are a natural generalization of linear operators. Equations in such operators are the linear space analog of ordinary;

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Uncertainty Management for Robust Industrial Design in Aeronautics

This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable;

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