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An Introduction To Optimization Wiley In Discrete Mathematics And Optimization

Jese Leos
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Published in An Introduction To Optimization (Wiley In Discrete Mathematics And Optimization 77)
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Optimization is a fundamental concept in various fields, including mathematics, computer science, economics, engineering, and many others. It involves finding the best solution among a set of alternatives, with the goal of maximizing or minimizing a given objective function. In the realm of discrete mathematics and optimization, the book "An to Optimization" published by Wiley stands out as a comprehensive resource.

The Importance of Optimization

Have you ever wondered how companies optimize their production processes to maximize efficiency and minimize costs? Or how search engines like Google rank websites to display the most relevant results? These are just a few examples of practical applications of optimization.

By embracing optimization techniques, businesses can improve their operations, increase profitability, and achieve their goals more efficiently. Optimization algorithms help in solving complex problems with numerous variables and constraints, which can be mathematically formulated to find the optimal solution.

An Introduction to Optimization (Wiley in Discrete Mathematics and Optimization 77)
An Introduction to Optimization (Wiley Series in Discrete Mathematics and Optimization Book 77)
by DRA. SIMONE MORAES.(4th Edition, Kindle Edition)

4.2 out of 5

Language : English
File size : 16739 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 641 pages
Screen Reader : Supported
Paperback : 42 pages
Item Weight : 2.56 ounces
Dimensions : 6 x 0.1 x 9 inches

About the Book

"An to Optimization" by Wiley provides a comprehensive to the basic concepts and techniques employed in optimization. Written by renowned experts in the field, the book covers a wide range of topics, including linear programming, integer programming, network flows, and nonlinear programming, among others.

The book is structured in a logical and organized manner, starting with the fundamentals and gradually progressing to more advanced topics. Each chapter is accompanied by numerous examples, illustrations, and exercises to help readers grasp the concepts effectively.

Key Features

"An to Optimization" stands out due to its unique features:

  1. Comprehensive Coverage: The book covers a wide range of optimization techniques, ensuring that readers gain a solid foundation in the subject.
  2. Real-World Applications: The authors provide numerous real-world examples and case studies, illustrating how optimization techniques can be applied to solve practical problems.
  3. Mathematical Formulation: The book emphasizes the mathematical formulation of optimization problems, enabling readers to understand the underlying principles and equations involved.
  4. Algorithmic Approach: The authors explain various algorithms used in optimization, providing step-by-step guidance on how to implement them.
  5. Interactive Learning: Each chapter includes exercises with varying difficulty levels, allowing readers to test their understanding and apply the concepts learned.

The Benefits of Studying Optimization

Studying optimization in the field of discrete mathematics and optimization brings several benefits:

  1. Career Advancement: A strong understanding of optimization opens up various career opportunities, such as operations research analyst, supply chain manager, data scientist, and more.
  2. Problem-Solving Skills: Optimization enhances your problem-solving abilities by equipping you with tools to tackle complex problems effectively.
  3. Critical Thinking: Optimization requires logical reasoning, analytical thinking, and attention to detail, which are valuable skills applicable to various fields.
  4. Academic Excellence: Optimization is a prominent topic in academia, and mastering it can contribute to academic achievements in mathematics, computer science, or related disciplines.

"An to Optimization" by Wiley is an essential resource for anyone interested in the field of optimization, particularly in discrete mathematics and optimization. With its comprehensive coverage, real-world applications, and interactive learning approach, the book provides a solid foundation for understanding and implementing optimization techniques.

Whether you are a student, an academic, or a professional seeking to enhance your problem-solving skills, this book is a valuable asset. So dive into the world of optimization and unlock the potential for efficient decision-making and problem-solving!

An Introduction to Optimization (Wiley in Discrete Mathematics and Optimization 77)
An Introduction to Optimization (Wiley Series in Discrete Mathematics and Optimization Book 77)
by DRA. SIMONE MORAES.(4th Edition, Kindle Edition)

4.2 out of 5

Language : English
File size : 16739 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 641 pages
Screen Reader : Supported
Paperback : 42 pages
Item Weight : 2.56 ounces
Dimensions : 6 x 0.1 x 9 inches

Praise for the Third Edition ". . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are presented with attention to detail."  —MAA Reviews 

Fully updated to reflect new developments in the field, the Fourth Edition of to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic definitions and notations are provided in addition to the related fundamental background for linear algebra, geometry, and calculus. 

This new edition explores the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. The authors also present an optimization perspective on global search methods and include discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm.  Featuring an elementary to artificial neural networks, convex optimization, and multi-objective optimization, the Fourth Edition also offers: 

  • A new chapter on integer programming  
  • Expanded coverage of one-dimensional methods  
  • Updated and expanded sections on linear matrix inequalities  
  • Numerous new exercises at the end of each chapter  
  • MATLAB exercises and drill problems to reinforce the discussed theory and algorithms  
  • Numerous diagrams and figures that complement the written presentation of key concepts  
  • MATLAB M-files for implementation of the discussed theory and algorithms (available via the book's website)  

to Optimization, Fourth Edition is an ideal textbook for courses on optimization theory and methods. In addition, the book is a useful reference for professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.

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