- Pagina inicial /
- Livros /
- Computadores e Tecnologia /
- Programming /
- Software Design, Testing & Engineering /
- Structured Design /
- Approximation Algorithms
0 ratings
Artigo n.º:
2226562
Approximation Algorithms
86% of respondents would recommend this to a friend
Artigo n.º:
2226562
CVE 11066
Detalhes do Preço
Excluindo custos de envio e alfandegários ( Os custos de envio e alfandegários serão calculados na finalização da compra )
*Todos os artigos serão importados de EUA
0 ratings
Escrever uma avaliação
Em stock
Importado da loja USA
Qtd.:
Encomende já e receba por volta de Sexta-Feira, Outubro 16
Transação segura
A Ubuy trabalha arduamente para proteger a sua segurança e privacidade. O nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao encriptar as suas informações durante a transmissão, utilizando os protocolos AES (Normas de Encriptação Avançada) e SSL (Camada de Sockets Seguros). Os seus dados de pagamento estão 100% seguros, pois não partilhamos os seus dados de pagamento com vendedores terceiros.
Os nossos principais Parceiros Logísticos
Charting the landscape of approximability via polynomial-time algorithms becomes a compelling subject of scientific inquiry.
Fast
Shipping
Devolução
gratuita*
Embalagem Segura
Produtos 100% Originais
Certificação PCI DSS
Certificação ISO 27001
Note: Step Down Voltage Transformer required for using electronics products of EUA store (110-120). Recommended power converters COMPRAR AGORA.
O que se Destaca
Efficiency
Approximation algorithms provide fast solutions for complex optimization problems where exact solutions are computationally impractical, significantly reducing processing times while still delivering useful results.
Scalability
These algorithms effectively handle large datasets and problems, making them suitable for real-world applications across various industries without overwhelming computational resources.
Robustness
Approximation algorithms consistently yield near-optimal solutions, ensuring that users can achieve satisfactory results even in unpredictable scenarios, thus enhancing decision-making processes.
Detalhes do produto
| Publisher | Springer |
| Publication date | July 2, 2001 |
| Language | English |
| Print length | 399 pages |
| ISBN-10 | 3540653678 |
| ISBN-13 | 978-3540653677 |
| Item Weight | 3.62 pounds (1.64 kg) |
| Dimensions | 6.42 x 1.08 x 9.6 inches (16.3 x 2.7 x 24.4 cm) |
Quem Deverá Comprar?
-
Computer Science Students
Ideal for undergraduates and graduates studying algorithms, as it provides foundational understanding of approximation techniques.
-
Research Professionals
Researchers in optimization and computational fields will find valuable insights for complex problem-solving and theoretical developments.
-
Software Developers
Developers tackling NP-hard problems can benefit from practical approximation algorithms to enhance application performance and efficiency.
-
Casual Learners
Individuals seeking simple algorithmic concepts may find this product too complex and mathematically intensive for their needs.
DESCRIÇÃO DO PRODUTO
Approximation Algorithms
Tem alguma Dúvida? Converse connosco
Perguntas e respostas do cliente
-
Pergunta:
What are approximation algorithms?
Resposta: Approximation algorithms are strategies used for finding near-optimal solutions to optimization problems, especially when exact solutions are difficult or impossible to compute efficiently. They are designed to provide results that are close to the best possible answer, enabling users to deal with large datasets or complex variables without exhaustive search. For example, in routing problems, rather than calculating the exact shortest path, an approximation algorithm quickly finds a route that is sufficiently optimal for practical applications. -
Pergunta:
Who can benefit from using approximation algorithms?
Resposta: Researchers, data scientists, and software developers are among those who can significantly benefit from using approximation algorithms. These algorithms are particularly useful in fields such as computer science, mathematics, and operations research, where typical problems involve large datasets. For instance, a data scientist working on network optimization may apply approximation algorithms to efficiently route traffic without heavy computational resources, thus allowing them to focus on analysis rather than computation. -
Pergunta:
What are some real-world applications of approximation algorithms?
Resposta: Approximation algorithms are widely applied in various real-world scenarios. For instance, they are used in logistics to optimize delivery routes, in telecommunications for network design, and in machine learning for clustering and classification tasks. By employing these algorithms, businesses can make informed decisions quickly and efficiently. For example, a logistics company might utilize approximation algorithms to minimize costs by finding the best routes for multiple deliveries, enhancing overall operational efficiency. -
Pergunta:
How do approximation algorithms differ from exact algorithms?
Resposta: The main difference between approximation algorithms and exact algorithms lies in the quality of solutions produced and the time required to obtain them. Exact algorithms provide precise solutions but may be computationally expensive, especially for NP-hard problems. In contrast, approximation algorithms prioritize speed and efficiency, providing solutions that are sufficiently close to optimal, often suitable for practical use. For instance, a company may choose an approximation algorithm when solving complex supply chain issues to achieve faster results than waiting for an exact solution. -
Pergunta:
Can approximation algorithms handle NP-hard problems?
Resposta: Yes, approximation algorithms are specifically designed to tackle NP-hard problems, which are often infeasible to solve exactly in a reasonable time frame. By focusing on providing near-optimal solutions, these algorithms allow for practical decision-making even in complex scenarios. For example, in the context of the traveling salesman problem, an approximation algorithm can yield a route that is close to the shortest possible path without needing to evaluate every possible combination, making it widely applicable in transportation and logistics. -
Pergunta:
What is the significance of approximation ratios?
Resposta: Approximation ratios quantify the performance of an approximation algorithm by comparing the quality of the solution it produces to the optimal solution. This ratio helps users understand the effectiveness and reliability of the algorithm in producing near-optimal answers. For instance, an algorithm with a 2-approximation ratio guarantees that the solution will be no more than twice the optimal value, providing users with a clear benchmark for its efficacy in real-world applications. -
Pergunta:
Are there limitations to using approximation algorithms?
Resposta: While approximation algorithms are powerful tools, they do have limitations. The primary drawback is that they may not always provide solutions that are close enough to the optimal solution, depending on the problem's structure. Additionally, some algorithms may have varying performance based on input data. For instance, in some optimization scenarios, a certain approximation algorithm may produce poor results, requiring users to evaluate the appropriateness of the method for their specific context. -
Pergunta:
What are the different types of approximation algorithms?
Resposta: Approximation algorithms can be categorized into various types, including greedy algorithms, local search algorithms, and linear programming relaxations. Each type utilizes different techniques to arrive at a near-optimal solution depending on the problem at hand. For example, greedy algorithms work by making the locally optimal choice at each step, ideal for optimization tasks like job scheduling. Understanding the type of approximation algorithm that best fits a user's needs can significantly enhance efficiency in solving complex problems. -
Pergunta:
How do I choose the right approximation algorithm for my problem?
Resposta: Choosing the right approximation algorithm involves assessing the specific requirements of your problem, including the trade-off between accuracy and computation time. Start by analyzing the structure of your optimization problem, as some algorithms work better under certain conditions. For instance, if you prioritize speed over precision, a greedy method may be suitable. Conversely, if you need a closer approximation, linear programming relaxations might be more appropriate. Understanding the constraints and goals of your application can lead to a more effective choice. -
Pergunta:
Where can I buy Approximation Algorithms in Cabo Verde?
Resposta: You can buy Approximation Algorithms through Ubuy in Cabo Verde. Ubuy offers a variety of resources, including books and academic materials on approximation algorithms, making it easy for you to access information and tools needed for your study or work in this area.
Structured Design Editorial Review
The book "Approximation Algorithms" by Vijay V. Vazirani has garnered widespread acclaim from readers, particularly within the algorithm research community. The initial sections of the book effectively cover a range of classical NP-hard problems, such as set covering, bin packing, and knapsack, along with their corresponding approximation algorithms. The manner in which Vazirani extracts solutions from fundamental papers and presents them in a more coherent and streamlined format has resonated with many, allowing for enhanced understanding and efficiency in reading. Readers appreciate the unified framework provided by the author, which makes the complex material accessible and encourages an efficient learning process. The authorship of a single credible figure rather than a compilation from numerous researchers is frequently highlighted as a significant advantage, promoting a more seamless narrative flow in contrast to survey-style compilations. This coherence, combined with numerous examples and problem sets, offers an appealing resource for those venturing deeper into the field of approximation algorithms. The book also stands out for its treatment of advanced topics such as the LP scheme of approximation algorithm design and the PCP theorem. Readers note that even those with minimal prior knowledge can find a solid grounding through Vazirani's clear and eloquent style. The inclusion of problem sets and open problems is regarded as a particularly engaging feature, encouraging ongoing exploration within the field. While some users do note challenges in following certain sections, the overall feedback emphasizes that the book serves as a priceless reference and study tool for both graduates and aspiring researchers in computer science, especially in algorithmic complexity. The book is described not just as the leading text in its niche, but also as one of the finest graduate-level mathematics resources available. **
Avaliações e Classificações dos Clientes
1 classificações de clientes
-
5 Estrela
100%
-
4 Estrela
0%
-
3 Estrela
0%
-
2 Estrela
0%
-
1 Estrela
0%
Avaliar este produto
Partilhe as suas ideias com outros clientes
Prós
- Comprehensive coverage of classical NP-hard problems.
- Unified framework improves the efficiency of understanding.
- Single-authored narrative provides smooth flow compared to multi-author texts.
- Excellent problem sets and hints included.
- Useful discussions of advanced topics like duality and the PCP theorem.
- Highly recommended for algorithm researchers and enthusiasts.
- Affordable price relative to the depth of content.
Contras
- Some readers find parts of the book difficult to follow.
CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR
JK
Jasmin
Comprador verificado
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Comprador verificado
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · via Trustpilot
H
Hazel
Comprador verificado
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · via Trustpilot
O
Opaleye
Comprador verificado
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · via Trustpilot
AC
Adele
Comprador verificado
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
Checkout Seguro
Entrega Global
Devoluções Fáceis
Produtos Genuínos
Histórico de preços do produto
Informação importante
- Limitações: para produtos expedidos internacionalmente, tenha em atenção que qualquer garantia do fabricante pode não ser válida; opções de serviço do fabricante podem não estar disponíveis; manuais de produtos, instruções e avisos de segurança podem não estar nas línguas do país de destino; os produtos (e materiais que o acompanham) pode não ter sido concebido em conformidade com as normas, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem e outras normas elétricas do país de destino (requerendo assim o uso de um adaptador ou conversor caso seja apropriado). O destinatário é responsável por garantir que o produto pode ser legalmente importado para o país de destino. Quando encomenda à Ubuy ou aos seus afiliados, o destinatário é o importador de registo e deve estar em conformidade com todas as leis e regulamentos do país de destino.
- Nem todos os produtos listados na Ubuy estão à venda, uma vez que a Ubuy é um motor de busca global. Os produtos estão sujeitos a leis de exportação/comércio.
CVE 11066
Encomende já e receba por volta de Sexta-Feira, Outubro 16
Este artigo não está restrito no meu país. (Clique no link acima se este artigo não estiver restrito no seu país, para que a nossa equipa o analise e permita.)
Qtd.:
Transação segura
Em conformidade com a norma PCI DSS e com certificação ISO 27001:2022, com pagamentos encriptados e proteção total do comprador em todas as encomendas.
Os nossos principais Parceiros Logísticos
Entrega internacional mais rápida
Recursos e benefícios
- Focuses on NP-hard optimization problems and their approximability.
- Divided into three parts covering combinatorial algorithms, linear programming, and advanced topics.
- Suitable for advanced undergraduate and graduate courses.
- Covers various algorithm design techniques and their applications.
- Introduces recent breakthroughs in approximation theory.
- Serves as a supplementary text for algorithms courses.
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.