What topics are covered in 'Introduction to Mathematical Optimization'?

The book covers fundamental topics associated with optimization techniques, including linear programming, non-linear optimization, integer programming, and network flows. It also explores duality theory, optimality conditions, and algorithmic approaches for solving optimization problems. These concepts are essential for students and professionals working in fields like operations research, economics, and engineering, as they provide critical methods for decision-making and resource allocation.

Who is the target audience for 'Introduction to Mathematical Optimization'?

This book is primarily aimed at undergraduate and graduate students in mathematics, computer science, engineering, and related fields. Additionally, it is beneficial for professionals who seek to apply mathematical concepts to real-world optimization problems. The writing style and examples are suited to those who may be new to optimization yet eager to gain a solid foundation, thus supporting both academic learning and practical application.

Is the book suitable for beginners in mathematical optimization?

Yes, 'Introduction to Mathematical Optimization' is designed to be accessible for beginners. It begins with basic concepts and gradually introduces more complex topics, ensuring that readers can follow along without prior extensive knowledge. Practical examples and exercises reinforce learning, making it a valuable resource for anyone looking to understand optimization techniques regardless of their initial proficiency level.

Does the book include practical applications of optimization?

Absolutely! 'Introduction to Mathematical Optimization' includes numerous real-world applications across various sectors, such as logistics, finance, and engineering. Each chapter features case studies and examples that illustrate how optimization techniques can solve practical problems, such as minimizing costs, maximizing profits, or improving efficiency. This approach helps contextualize theoretical knowledge, allowing readers to visualize the impact of optimization in real-world situations.

Are there any accompanying resources for this book?

Typically, 'Introduction to Mathematical Optimization' may offer additional resources like problem sets, solution manuals, or supplementary online materials. These resources are designed to enhance the learning experience by providing further practice opportunities and deeper insights into complex topics. Engaging with these resources can significantly reinforce understanding and application of the concepts discussed in the book.

How does mathematical optimization relate to data science?

Mathematical optimization plays a crucial role in data science, particularly in model training and decision-making processes. Techniques such as linear regression and classification often involve optimizing a function to find the best model parameters. Understanding these optimization strategies is vital for data scientists who aim to enhance model accuracy, make informed predictions, and derive actionable insights from data. Thus, knowledge from 'Introduction to Mathematical Optimization' can be especially advantageous in the data-driven landscape.

What mathematical prerequisites do I need to read this book?

While some familiarity with basic calculus and linear algebra is beneficial, 'Introduction to Mathematical Optimization' is structured to guide readers from foundational to advanced concepts. Readers should have a basic understanding of mathematical notation and functions, but the book carefully explains necessary mathematical principles as they arise. This self-contained approach helps make optimization accessible to those with varied mathematical backgrounds.

Can I use this book for self-study?

Yes, 'Introduction to Mathematical Optimization' is ideal for self-study. The chapters are structured logically, with clear explanations and examples, allowing learners to pace their study according to their personal learning style. With exercises provided at the end of each chapter, readers can assess their understanding and progress independently, making it an effective tool for anyone looking to grasp optimization techniques on their own.

What is the significance of duality in optimization?

Duality is a key concept in optimization that provides a different perspective on problem-solving. It allows readers to derive solutions to complex problems by evaluating their 'dual' forms, often simplifying calculations and revealing deeper insights into the problem structure. In 'Introduction to Mathematical Optimization', the duality theory is thoroughly explained, enabling readers to apply this principle in practical applications, enhancing their problem-solving toolkit.

Where can I buy 'Introduction to Mathematical Optimization' in Chile?

You can buy 'Introduction to Mathematical Optimization' on Ubuy, a reliable online marketplace that offers a wide selection of books and educational materials. Ubuy provides an easy-to-navigate interface and various shipping options, making it an excellent choice for acquiring this important resource for your mathematical studies.

¿Cómo comprar Introduction to Mathematical Optimization en línea desde Ubuy?

Es fácil comprar Introduction to Mathematical Optimization en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.

¿Está Introduction to Mathematical Optimization disponible para comprar en línea en Chile?

Sí, en Ubuy Chile, este producto está disponible para que lo compre a un precio razonable.. El Introduction to Mathematical Optimization no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.

¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Ver el original

Introduction to Mathematical Optimization

An essential teaching aid for Operations Research and Mathematical Optimization courses.

Nº de artículo: 31081860

Introduction to Mathematical Optimization

90% of respondents would recommend this to a friend

Nº de artículo: 31081860

CLP 38234

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

^{*All items will import from Estados Unidos}

Disponibilidad : En stock

Importado de la tienda USA

QTY:

Haz tu pedido ahora y recíbelo por ahí Viernes, Octubre 16

Secured transaction

Our Top Logistics Partners

An essential teaching aid for Operations Research and Mathematical Optimization courses.

Paperback

Garantía U-Care:

Ninguno

Selecciona un plan

Fast
Shipping

Free
Return^*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of Estados Unidos store (110-120). Recommended power converters Comprar ahora.

What Stands Out

Comprehensive Coverage

Offers a thorough exploration of mathematical optimization concepts, ensuring learners gain a solid foundational understanding applicable in various real-world scenarios.

Step-by-Step Approach

Utilizes a clear, systematic methodology to guide users through complex optimization problems, making advanced topics accessible even to beginners in the field.

Real-World Applications

Illustrates practical applications of mathematical optimization across diverse sectors, enhancing the relevance and usability of theoretical knowledge in everyday decision-making.

Detalles de producto

Teaching aid for Operations Research and Mathematical Optimization courses
Covers topics like Linear Programming, Integer Linear Programming, Computational Complexity, and Graph Theory
Particular focus on Integer Linear Programming and recent resolution techniques including the branch-and-cut method
Accompanied by numerous examples and exercises
Suitable for scientific faculties and students

Publisher	Independently published
Publication date	September 12, 2019
Language	English
Print length	232 pages
ISBN-10	1692792024
ISBN-13	978-1692792022
Item Weight	1.06 pounds (480 grams)
Dimensions	6.69 x 0.53 x 9.61 inches (17 x 1.3 x 24.4 cm)

Who Should Buy?

Students in Mathematics
Ideal for undergraduate and graduate students seeking foundational knowledge in mathematical optimization principles and techniques.
Data Scientists
Beneficial for data scientists looking to improve their skills in optimization for machine learning models and algorithms.
Engineers and Analysts
Useful for engineers and analysts who need to apply optimization methods for problem-solving in their respective fields.

Beginners in Math
Not suitable for individuals with little to no background in mathematics, as concepts may be too advanced.

DESCRIPCIÓN DEL PRODUCTO

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

Pregunta: ¿Cómo comprar Introduction to Mathematical Optimization en línea desde Ubuy?

Respuesta: Es fácil comprar Introduction to Mathematical Optimization en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.
Pregunta: ¿Está Introduction to Mathematical Optimization disponible para comprar en línea en Chile?

Respuesta: Sí, en Ubuy Chile, este producto está disponible para que lo compre a un precio razonable.. El Introduction to Mathematical Optimization no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.
Pregunta: ¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Linear Programming Editorial Review

The Introduction to Mathematical Optimization is a comprehensive textbook that covers the fundamentals of optimization theory. It provides a clear and concise introduction to the subject, making it suitable for beginners. The book is well-structured, organized, and easy to follow, with relevant examples and exercises to reinforce the concepts. The authors provide insightful explanations and present the material in a logical manner. However, some readers have found the book to be lacking in depth and detail, particularly when it comes to advanced topics in optimization. Overall, the Introduction to Mathematical Optimization is a valuable resource for those looking to understand the basics of optimization theory.

Customer Reviews & Ratings

4.8

24 valoraciones de los clientes

5 estrella

81%
4 estrella

14%
3 estrella

5%
2 estrella

0%
1 estrella

0%

Revisar este producto

Comparte tus ideas con otros clientes

ventajas

Comprehensive coverage of optimization theory
Clear and concise explanations
Well-structured and organized
Relevant examples and exercises

Contras

Lacks in-depth coverage of advanced topics

Product Price History

Información importante

Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.

CLP 38234

Haz tu pedido ahora y recíbelo por ahí Viernes, Octubre 16

QTY:

Secured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners

Fastest cross-border delivery

características y beneficios

Designed for students of Operations Research and Mathematical Optimization
Covers topics such as Linear Programming, Integer Linear Programming, Computational Complexity, and Graph Theory
Focuses on the branch-and-cut method for Integer Linear Programming
Includes numerous examples and exercises to reinforce learning

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns ^*, and secure packaging on every order.

Introduction to Mathematical Optimization

CLP 38234

Fast Shipping

Free Return*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

What Stands Out

Detalles de producto

Who Should Buy?

DESCRIPCIÓN DEL PRODUCTO

Preguntas y respuestas de los clientes

Linear Programming Editorial Review

Customer Reviews & Ratings

Revisar este producto

ventajas

Contras

Product Price History

Información importante

CLP 38234

características y beneficios

Ubuy Assurance

Fast
Shipping

Free
Return^*