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Optimization Methods in Finance

Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization;

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Numerical Methods and Optimization in Finance

. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly;

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An Elementary Introduction to Mathematical Finance

Contains a new chapter on optimization methods in finance, a new section on Value at Risk and Conditional Value at Risk, plus much more.;

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An Elementary Introduction to Mathematical Finance

Contains a new chapter on optimization methods in finance, a new section on Value at Risk and Conditional Value at Risk, plus much more.;

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Numerical Methods In Finance And Economics

Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical;

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Computational Optimization and Applications

optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions;

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Nonlinear Optimization

Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics;

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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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Discrete Mathematics and Applications

, optimization, and game theory. Graduate students and researchers in optimization, mathematics, computer science, economics, and physics will find the;

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Lectures on Convex Optimization

This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied;

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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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Data Analysis and Optimization for Engineering and Computing Problems

(COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications;

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Data Analysis and Optimization for Engineering and Computing Problems

(COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications;

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Supply Chain And Finance

analysis, portfolio optimization, classification techniques in economics, supply chain optimization, development of e-commerce applications, etc;

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A Workout in Computational Finance

optimization tools to solve the minimization problem.;

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Introduction to Linear Organization and Extensions With MATLAB

, Introduction to Linear Optimization and Extensions with MATLAB (R) provides a concrete and intuitive yet rigorous introduction to modern linear;

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Numerical Methods and Optimization in Finance

pricing, and givesspecial attention tosimulation and optimization. Many chapters are organized as case studies aroundportfolio insurance and risk;

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Introduction to Global Optimization

Global optimization concerns the computation and characterization of global optima of nonlinear functions. Such problems are widespread;

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Handbook of Recent Advances in Commodity and Financial Modeling: Quantitative Methods in Banking, Finance, Insurance, Energy and Commodity Markets

This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems;

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Convex Optimization

Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and;

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Recent Advances in Computational Finance

responded to this call by offering refinements to classic computational methods while also introducing new ones. From continuous optimization to;

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Metaheuristics for Portfolio Optimization

and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results;

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Research and Profit Maximization in Finance and Economics

. The central concept of profit maximization is presented to incorporate the optimization problem in Economics. The substitution, Langrangean;

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Advances in Optimization and Applications

This book constitutes the refereed proceedings of the 11th International Conference on Optimization and Applications, OPTIMA 2020, held;

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Modern Optimization with R

The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories;

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