A friendly and accessible introduction to the most useful algorithms
Computer algorithms are the basic recipes for programming. Professional programmers need to know how to use algorithms to solve difficult programming problems. Written in simple, intuitive English, this book describes how and when to use the most practical classic algorithms, and even how to create new algorithms to meet future needs. The book also includes a collection of questions that can help readers prepare for a programming job interview.
Reveals methods for manipulating common data structures such as arrays, linked lists, trees, and networks
Addresses advanced data structures such as heaps, 2-3 trees, B-trees
Addresses general problem-solving techniques such as branch and bound, divide and conquer, recursion, backtracking, heuristics, and more
Reviews sorting and searching, network algorithms, and numerical algorithms
Includes general problem-solving techniques such as brute force and exhaustive search, divide and conquer, backtracking, recursion, branch and bound, and more
In addition, Essential Algorithms features a companion website that includes full instructor materials to support training or higher ed adoptions.
A First Course in Mathematical Modeling
Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5th Edition delivers an excellent balance of theory and practice, and gives you relevant, hands-on experience developing and sharpening your modeling skills. Throughout, the book emphasizes key facets of modeling, including creative and...
Applied Mathematics for Science and Engineering
Prepare students for success in using applied mathematics for engineering practice and post-graduate studies
• moves from one mathematical method to the next sustaining reader interest and easing the application of the techniques
• Uses different examples from chemical, civil, mechanical and various...
Data Mining: The Textbook
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences,...
Data-Intensive Computing: Architectures, Algorithms, and Applications
The world is awash with digital data from social networks, blogs, business, science, and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms, and hardware, data-intensive applications can provide timely and...