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Mathematical Programming for Operations Researchers and Computer Scientists

functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.;

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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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Optimization Algorithms on Matrix Manifolds

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called;

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Minisum Hyperspheres

field of geometric optimization is full of interesting and open problems. This work provides an overview of the history of minisum;

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Fast Solution of Discretized Optimization Problems

new results and recent methods is addressed to all mathematicians interested in homotopy theory and in geometric aspects of group theory.;

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Optimization Concepts and Applications in Engineering

, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate;

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Polyhedral and Semidefinite Programming Methods in Combinatorial Optimization

Since the early 1960s, polyhedral methods have played a central role in both the theory and practice of combinatorial optimization. Since;

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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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Geometric Methods and Optimization Problems

often the internal development of disciplines from applied mathematics led to geometric models, and occasionally breakthroughs were b~ed on;

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Optimization

This self-contained textbook is an informal introduction to optimization through the use of numerous illustrations and applications. The;

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Advances in Computational Mathematics

, geometric modelling, and signal and image processing and their applications.;

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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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Algebraic and Geometric Methods in Discrete Mathematics

This volume contains the proceedings of the AMS Special Session on Algebraic and Geometric Methods in Applied Discrete Mathematics, held on;

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Nonlinear Interval Optimization for Uncertain Problems

This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming;

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Statistical Optimization for Geometric Computation

prerequisites for developing the theories are explained systematically in separate chapters. These methods range from linear algebra, optimization, and;

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Optimization of Logistics

optimization problems and techniques, such as system design, layout, stock management, quality management, lot-sizing or scheduling. It summarizes the;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under;

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Geometric Science of Information

Information; information geometry optimization; information geometry in image analysis; divergence geometry; optimization on manifold; Lie groups and;

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Numerical Nonsmooth Optimization

Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this;

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Mathematical Modeling and Optimization of Complex Structures

optimization methods. The papers are based upon talks presented on the International Conference for Mathematical Modeling and Optimization in Mechanics;

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A First Course in Optimization

-semester course in optimization taken by advanced undergraduate and beginning graduate students in the mathematical sciences and engineering. It;

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Recent Advances in Computational Optimization

This book presents new optimization approaches and methods and their application in real-world and industrial problems. Numerous processes;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Discrete Geometry and Symmetry

generalizations, tiling and packing, zonotopes, isoperimetric inequalities, and on the geometric and combinatorial aspects of linear optimization. The;

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Fundamentals of Optimization Techniques with Algorithms

nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired;

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Designing Engineering Structures using Stochastic Optimization Methods

, and genetic algorithms are preferable in finding solutions in design optimization problems. This book reviews mechanical engineering design;

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