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Item #:
230877074
Algorithm Design and Applications
81% of respondents would recommend this to a friend
Item #:
230877074
€ 107
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The best way to teach algorithmic topics is to present them in a context that is motivated from applications to uses in society.
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What Stands Out
Comprehensive Coverage
Delivers a thorough exploration of algorithm design principles and real-world applications, catering to both beginners and advanced learners seeking to enhance their problem-solving skills in various domains.
Practical Examples
Includes hands-on projects and illustrative case studies, showcasing effective algorithms in action, helping users grasp complex concepts through relatable scenarios and practical implementation.
User-Friendly Format
Structured in an approachable format with clear explanations and visual aids, making it accessible for individuals of all backgrounds while ensuring a solid foundation in algorithms for future advancement.
Product Details
| Publisher | Wiley |
| Publication date | October 27, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 800 pages |
| ISBN-10 | 1118335910 |
| ISBN-13 | 978-1118335918 |
| Item Weight | 3.3 pounds (1.5 kg) |
| Dimensions | 8.3 x 1.4 x 10 inches (21.1 x 3.6 x 25.4 cm) |
Product Description
Algorithm Design and Applications
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Customer Questions & Answers
-
Question:
What is Algorithm Design?
Answer: Algorithm design is the process of defining a step-by-step procedure or formula to solve a specific problem or perform a task. This involves understanding the problem requirements and developing a systematic way to achieve the desired outcome. For instance, in software development, effective algorithm design can lead to more efficient code execution, optimization, and resource management. -
Question:
What are some common algorithms covered in Algorithm Design?
Answer: Common algorithms include sorting (like quicksort and mergesort), searching (such as binary search), and graph algorithms (like Dijkstra's and A*). These algorithms are foundational for operations in programming and software development. For instance, understanding sorting algorithms can help developers choose the most efficient way to arrange data based on specific requirements in a project. -
Question:
How is Algorithm Design relevant in today's technology?
Answer: Algorithm design is crucial in areas such as data analysis, artificial intelligence, and machine learning. By understanding algorithms, professionals can create systems that process large amounts of data swiftly and efficiently. For example, in machine learning, algorithm design influences which model performs best for predictive analysis, directly impacting decision-making. -
Question:
What skills are necessary for Algorithm Design?
Answer: Essential skills include problem-solving, analytical thinking, and programming proficiency. Familiarity with data structures, complexity analysis, and mathematical foundations is also beneficial. These skills allow individuals to design effective algorithms tailored to specific challenges in software development and computing, ensuring robust and efficient solutions. -
Question:
How do I choose the right algorithm for my application?
Answer: Selecting the right algorithm depends on several factors, including the type of data, required efficiency, and intended outcomes. Assess the size and nature of your data, the operations you'll need to perform, and any performance constraints. For instance, if working with large datasets, consider algorithms that minimize time complexity, like quicksort. -
Question:
Can I find real-world applications of algorithms in the book?
Answer: Yes, the book on algorithm design and applications often includes real-world case studies and examples. These illustrate how specific algorithms are utilized across different fields, from optimizing search engines to enhancing network communications. This practical approach helps readers understand how theoretical concepts translate into effective solutions in practice. -
Question:
Is prior knowledge of computer science required to understand Algorithm Design?
Answer: While a basic understanding of computer science and programming will enhance your comprehension, it is not strictly necessary. The book is designed to introduce fundamental concepts progressively, making it accessible to beginners. For those with experience, it will deepen your knowledge and provide advanced techniques applicable to complex problems. -
Question:
How often should I practice algorithm design?
Answer: Regular practice is essential for mastering algorithm design. Engaging with various problems consistently will reinforce your understanding and help improve problem-solving skills. Consider dedicating time each week to tackle different algorithmic challenges, which can also prepare you for technical interviews in software development roles. -
Question:
What are the common pitfalls in Algorithm Design?
Answer: Common pitfalls include neglecting the time and space complexity, misunderstanding problem requirements, and overcomplicating the algorithm. Focusing on efficiency is crucial, as poorly designed algorithms can lead to inefficient resource use. For instance, a simplistic yet sufficient approach is often better than a convoluted one that offers minor improvements. -
Question:
Where can I buy Algorithm Design And Applications in Greece?
Answer: You can purchase 'Algorithm Design And Applications' on Ubuy, a reliable platform known for its broad range of books and educational resources.
Software Development Editorial Review
In this editorial review of Goodrich and Tamassia's algorithms textbook, a mix of enthusiasm and frustration emerges from customer experiences. Several readers praise the quality of content and clarity of the main ideas presented throughout the book. They highlight the excellent flow of the text, making what could be a challenging subject matter much more accessible and enjoyable for both students and professional engineers alike. The illustrations and examples also received commendation for aiding comprehension. Engaging exercises are suggested as invaluable for deepening understanding, prompting many readers to invest time in completing them. However, not all feedback is favorable. Some customers express concern over the book's explanations, particularly in the initial chapters, which they find lacking in depth and formal structure. There are complaints about the level of assumption regarding the reader's familiarity with foundational concepts. Additionally, several readers noted that the lack of an accompanying student website diminished the learning experience, as they could not easily check their answers or find supplementary help. Confusing jargon and cluttered examples, especially regarding tree data structures, were pointed out as detracting from the overall clarity of the text. Furthermore, the absence of accessible solutions for practice problems frustrated self-learners and independent students. Despite these critiques, many readers still view the book as a significant contribution to the algorithms literature, close to classics in the field. It is particularly recommended for serious students and professionals who are willing to navigate its complexities. **
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Pros
- Excellent flow and structure of content
- Clear presentation of main ideas and concepts
- High-quality illustrations and examples
- Engaging exercises enhancing understanding
- Recommended for both students and professionals in the field
Cons
- Explanations and proofs can lack depth and clarity
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Features & Benefits
- New addition to our computer science library by Goodrich & Tamassia.
- Focuses on the integration of theory with real-world applications.
- Essential for all computer science majors looking to excel in algorithms.
- Illustrates connections between algorithmic concepts and their societal uses.
- Enhances student engagement through practical examples.
- Perfect for those wanting to understand both design and application of algorithms.
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