Algorithms and data structures

This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems.

On-orbit operations optimization among multiple cooperative or noncooperative spacecraft, which is often challenged by tight constraints and shifting parameters, has grown to be a hot issue in recent years.

This self-contained introduction to modern cryptography emphasizes the mathematics behind the theory of public key cryptosystems and digital signature schemes.

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

AI-Generated Content (AIGC) is a revolutionary engine for digital content generation.

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms.

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms.

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips.

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips.

Your Python code may run correctly, but you need it to run faster.

Your Python code may run correctly, but you need it to run faster.

Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms.

Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms.

Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models.

Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models.

Data is bigger, arrives faster, and comes in a variety of formats?

Data is bigger, arrives faster, and comes in a variety of formats?

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark.

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark.

If youre a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineeringdata structures and algorithmsin a way thats clearer, more concise, and more engaging than other materials.

If youre a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineeringdata structures and algorithmsin a way thats clearer, more concise, and more engaging than other materials.

If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that wont churn through their data plans.

If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that wont churn through their data plans.

Data in the genomics field is booming.

Data in the genomics field is booming.

Machine learning is an intimidating subject until you know the fundamentals.

Machine learning is an intimidating subject until you know the fundamentals.

Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning.

Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning.

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time.

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time.

Building a simple but powerful recommendation system is much easier than you think.

Building a simple but powerful recommendation system is much easier than you think.

Finding Data Anomalies You Didn't Know to Look ForAnomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets.

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs.

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs.

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data.

This textbook presents the concepts and tools necessary to understand, build, and implement algorithms for computing elementary functions (e.

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches.

Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency.

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning.

Here is your in-depth guide to cryptography and cryptanalysis in Java.

Master the essentials of cryptography and cryptanalysis and learn how to put them to practical use.

Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries.

Build programs that give users full control of their applications in order to meet end users' unique needs and scenarios.

Master algorithms programming using Lisp, including the most important data structures and algorithms.

Learn approaches of computational thinking and the art of designing algorithms.

"e;It's a joy to read a book by a mathematician who knows how to write.