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Books tags: algorithm
Spatio-temporal Networks: Modeling and Algorithms (SpringerBriefs in Computer Science)
Spatio-temporal Networks: Modeling and Algorithms (SpringerBriefs in Computer Science)
Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must...
A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu­ nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support...
Optimization Algorithms for Networks and Graphs
Optimization Algorithms for Networks and Graphs
A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which contemporary algorithm...
Algorithms in C, Parts 1-4: Fundamentals, Data Structures, Sorting, Searching (3rd Edition) (Pts. 1-4)
Algorithms in C, Parts 1-4: Fundamentals, Data Structures, Sorting, Searching (3rd Edition) (Pts. 1-4)

 

Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each...

Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
This work brings together two streams in computer algebra: symbolic integration and summation on the one hand, and fast algorithmics on the other hand. In many algorithmically oriented areas of computer science, theanalysisof- gorithms–placedintothe limelightbyDonKnuth’stalkat the 1970ICM –provides a crystal-clear criterion for...
Hands-On Cryptography with Python: Leverage the power of Python to encrypt and decrypt data
Hands-On Cryptography with Python: Leverage the power of Python to encrypt and decrypt data

Learn to evaluate and compare data encryption methods and attack cryptographic systems

Key Features

  • Explore popular and important cryptographic methods
  • Compare cryptographic modes and understand their limitations
  • Learn to perform attacks on cryptographic...
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python

Key Features

  • Enter the world of artificial intelligence using the power of Python
  • An example-rich guide to master various RL and DRL algorithms
  • Explore...
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications....
Practical TLA+: Planning Driven Development
Practical TLA+: Planning Driven Development
Learn how to design complex, correct programs and fix problems before writing a single line of code. This book is a practical, comprehensive resource on TLA+ programming with rich, complex examples. Practical TLA+ shows you how to use TLA+ to specify a complex system and test the design itself for...
Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks

Key Features

  • Understand the foundations of meta learning algorithms
  • Explore practical examples to explore...
Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications
Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications

Your one-stop guide to blockchain technology and its business applications

Key Features

  • Assimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications
  • Know in and out of blockchain technology to understand various business use...
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

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