Ergebnisse für: Python Implementations
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Computational geometry plays a vital role in fields ranging from algorithms, data structures, robotics, and computer graphics to geographic information systems and AI. Providing a comprehensive toolkit, this core textbook constructs a strong bridge between rigorous geometric theory and practical, re...
Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is  given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, ...
The book provides a comprehensive overview of mathematical optimization models and techniques for solving facility location problems. It equips students with the theoretical foundations and practical knowledge needed to analyze real‑world location planning problems, as well as to use and adapt opt...
This book addresses students and young researchers who want to learn to use numerical modeling to solve problems in geodynamics. Intended as an easy-to-use and self-learning guide, readers only need a basic background in calculus to approach most of the material. The book difficulty increases very g...
Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all ma...
Gain the basic concepts of cryptography and implement a number of cryptographic algorithms in Python. After going through a crash course in Python programming covering concepts such as loops, functions, and conditional statements, you will take a look at various inbuilt libraries in Python which sup...
Computational geometry plays a vital role in fields ranging from algorithms, data structures, robotics, and computer graphics to geographic information systems and AI. Providing a comprehensive toolkit, this core textbook constructs a strong bridge between rigorous geometric theory and practical, re...
Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is  given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, ...
Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is  given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, ...
Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge ...
Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting-edge ...
This book addresses students and young researchers who want to learn to use numerical modeling to solve problems in geodynamics. Intended as an easy-to-use and self-learning guide, readers only need a basic background in calculus to approach most of the material. The book difficulty increases very g...
This book addresses students and young researchers who want to learn to use numerical modeling to solve problems in geodynamics. Intended as an easy-to-use and self-learning guide, readers only need a basic background in calculus to approach most of the material. The book difficulty increases very g...
Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all ma...
Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all ma...
Gain the basic concepts of cryptography and implement a number of cryptographic algorithms in Python. After going through a crash course in Python programming covering concepts such as loops, functions, and conditional statements, you will take a look at various inbuilt libraries in Python which sup...
The book provides a comprehensive overview of mathematical optimization models and techniques for solving facility location problems. It equips students with the theoretical foundations and practical knowledge needed to analyze real‑world location planning problems, as well as to use and adapt opt...