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- Quantum Mechanics Done Right: From Novice to Researcher
Post under Quantum Computing, Quantum Mechanics, Quantum Physics
This open access book develops the world of quantum physics without the onerous math prerequisites of all other texts. It is appropriate for advanced high-school students, lifelong learners, citizen scientists, undergraduate students, graduate students, etc. - Fractional Calculus: Theory and Applications (Jorge E Macías Díaz)
Post under Calculus and Fractals
Fractional Calculus has led to tremendous progress in various areas of science and mathematics. New definitions of fractional derivatives and integrals have been uncovered, extending their classical definitions in various ways. - A Mathematical Introduction to Robotic Manipulation
Post under Robotics and Robot Programming
This book presents a mathematical formulation of the kinematics, dynamics, and control of robot manipulators. The foundation of the book is a derivation of robot kinematics using the product of the exponentials formula. - Introduction To Autonomous Mobile Robots (Roland Siegwart)
Post under Robotics and Robot Programming
This book discusses all facets of mobile robotics, including hardware design, wheel design, kinematics analysis, sensors and perception, localization, mapping, and robot control architectures. - Assouad Dimension and Fractal Geometry (Jonathan M. Fraser)
Post under Fractal Geometry and Fractals
The Assouad Dimension is a notion of dimension in fractal geometry. This book is the first thorough account of the Assouad dimension and its many variants and applications in fractal geometry and beyond. - Kant and Artificial Intelligence (Hyeongjoo Kim, et al.)
Post under Artificial Intelligence (AI)
How are artificial intelligence (AI) and the strong claims made by their philosophical representatives to be understood and evaluated from a Kantian perspective? What can we learn from AI and its functions about Kantian philosophy’s claims to validity? - Linear Algebra (WikiBooks)
Post under Linear and Matrix Algebra
This open access book discusses proof-based linear algebra, readers are recommended to be familiar with mathematical proof before reading this book (although this is not a prerequisite, strictly speaking), so that their reading experiences can be smoother. - Multivariate Statistical Analysis in the Real and Complex Domains
Post under Statistics, Mathematical Statistics
This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition. - Fault-Tolerant Control for Fully Actuated Systems
Post under Control Theory, Engineering, and Systems
Fully Actuated Systems (FAS) theory is transforming the landscape of control science, offering groundbreaking advantages in stability, simplicity, and versatility. This open access book equips you with the tools to advance your understanding of FAS. - Active Disturbance Rejection Control: From Principles to Practice
Post under Control Theory, Engineering, and Systems
This text offers the first comprehensive introduction to the fundamental principles and practical implementation of Active Disturbance Rejection Control (ADRC). Designed to be accessible to readers at any level of knowledge and experience with ADRC. - Convex Optimization Theory (Dimitri P. Bertsekas)
Post under Linear Programming, Optimization, Approximation, etc.
An insightful, concise, and rigorous treatment of the basic theory of convex sets and functions in finite dimensions, and the analytical/geometrical foundations of convex optimization and duality theory. - Mathematical Optimization for Machine Learning
Post under Optimization and Machine Learning
Mathematical optimization and machine learning work together because training a machine learning model relies on optimization algorithms, while optimization models can use machine learning predictions as direct inputs for decision-making. - Foundations of Probabilistic Programming (Gilles Barthe, et al.)
Post under Probability Theory, Bayesian Thinking, Statistics
This open access book provides a state-of-the-art overview of the theoretical underpinnings of modern Probabilistic Programming and their applications in machine learning, security, and other domains, etc. - Computer Game Development (Branislav Sobota)
Post under Computer and Video Game Programming
Describe some modern approaches, procedures, algorithms, and devices in computer gaming. Classifications and types of games, technical means of game systems, game consoles, and the newest tools based on extended reality (XR) technologies. - An Introduction to Probabilistic Programming
Post under Probability Theory, Bayesian Thinking, Statistics
This book is an introduction to Probabilistic Programming. It not only provides a thorough background for anyone wishing to use a probabilistic programming system, but also introduces the techniques needed to design and build these systems. - Invasive Computing (Jürgen Teich, et al.)
Post under Parallel and Distributed Computing
Invasive computing is a parallel computing paradigm where programs dynamically claim, use, and release hardware resources like processor cores and memory. This book provides an overview of and essential insights on invasive computing. - Elementary Statistics: A Step By Step Approach (Allan Bluman)
Post under Statistics and Mathematical Statistics
A beginning statistics course for students whose mathematical background is limited to basic algebra. Follows a non-theoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. - Key Issues in Network Protocols and Security (Mamata Rath, et al.)
Post under Computer Networks and Networks Security
Network protocols and security are the backbone of communication and data exchange in today's interconnected world. This book focuses on real-world applications and offers practical strategies to tackle these pressing issues. - Empirical Likelihood Method in Survival Analysis (Mai Zhou)
Post under Statistics, Mathematical Statistics, Probability and Stochastic Process
This book systematically covers Empirical Likelihood methods in most important topics in Survival Analysis: the Kaplan–Meier and the Nelson–Aalen estimator, the log rank test, the Cox proportional hazards model and the accelerated failure time models. - Common Circuits: Hacking Alternative Technological Futures
Post under Hacking and Hackers, Reverse Engineering
How hackers facilitate community technology projects that counter the monoculture of "big tech" and point us to brighter, innovative horizons. This book explores a transnational network of hacker spaces that stand as potent, etc. - Understanding Science with Large Language Models?
Post under Artificial Intelligence (AI) and Natural Language Processing (NLP)
How are Large Language Models (LLMs) changing research in the history, philosophy, and sociology of science (HPSS)? Computer science develops powerful tools like LLMs, and HPSS explores the depth of their uses, limits, and broader consequences. - Understanding Conversational AI (Thierry Poibeau)
Post under Artificial Intelligence (AI)
What do large language models really know-and what does it mean to live alongside them? Offer a critical and interdisciplinary exploration of large language models (LLMs), examining how they reshape our understanding of language, cognition, and society. - Matrix Theory and Principal Component Analysis (PCA) Apps
Post under Matrix Algebra, Data Analysis/Mining, Statistics and Mathematical Statistics
Principal Component Analysis (PCA) is an effective method for reducing data dimensionality. Practical PCA and matrix theory translate linear algebra into workplace results. This book combines theory with real-world workplace applications across different industries. - Tensor Network Techniques for Quantum Computation
Post under Quantum Computing
This open access book serves as an introductory yet thorough guide to Tensor Networks and their applications in quantum computation and quantum information, designed for advanced undergraduate and graduate-level readers. - Introduction to Quantum Computing for Business (K. Groenland)
Post under Quantum Computing
This open access book is the perfect introduction to the opportunities and threats of Quantum Computing technologies. It equips you with the necessary knowledge to join cutting-edge discussions and make strategic decisions. - MATLAB: An Introduction with Applications (Rao V Dukkipati)
Post under MATLAB Programming
This concise book is known for its just-in-time learning approach, includes numerous sample problems in mathematics, science, and engineering that are similar to problems encountered by new users of MATLAB. - Getting Started with MATLAB: For Scientists and Engineers
Post under MATLAB Programming
Enhanced by fun and appealing illustrations, this book employs a casual, accessible writing style that shows users how to enjoy using MATLAB. The figures and examples are the best part of this text. Clear and concise in a meaningful way. - Algorithms For Programmers: Ideas and Source Code
Post under Algorithms and Data Structures
This is a book about selected algorithms. The audience in mind are programmers who are interested in the treated algorithms and actually want to create and understand working and reasonably optimized code. - Deep Reinforcement Learning: A Textbook (Aske Plaat)
Post under Depp Learning and Reinforcement Learning
This book describes the foundations, the algorithms and the applications of deep reinforcement learning, covers the established model-free and model-based methods that form the basis of the field. The programming language of this book is Python. - Middleware Architecture (Mehdia Ajana El Khaddar)
Post under Software Architectures and Software Engineering
Provide a comprehensive overview of the different design patterns and reference models used in middleware architectures in general, followed by a description of specific middleware architectures dedicated to the use of the different technologies. - Modern VLSI Design: IP-Based Design (Wayne Wolf)
Post under VLSI (Very Large Scale Integration)
This book offers authoritative guidance for the entire VLSI design process - from architecture and logic design through layout and packaging, presents deeper coverage of logic design fundamentals, clocking and timing, etc. - Design of VLSI Systems (Daniel Mlynek, et al.)
Post under VLSI (Very Large Scale Integration)
This book explores the engineering process behind complex integrated circuits. Learn digital architecture, chip design, circuit implementation, layout concepts, and practical VLSI development workflows. - Signals and Systems (Richard Baraniuk)
Post under Digital Signal Processing (DSP) and Fourier Transforms
This book provides a comprehensive introduction to signals and systems, covering both continuous-time and discrete-time domains. Explores Fourier analysis in depth, including Fourier series and transforms for periodic and aperiodic signals, etc. - Engineering Signal Analysis: From Fourier to Filtering
Post under Digital Signal Processing (DSP) and Fourier Transforms
A textbook on the analysis of signals in time and frequency with an engineer’s perspective and discusses how to characterize, analyze and operate on signals. Theoretical concepts, Fourier series and transform, are explained in continuous time. - Spatial Statistics for Data Science with R (Paula Moraga)
Post under GIS, Data Science, Statistics, R Programming
Spatial data is crucial to improve decision-making in a wide range of fields. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R. - Tor: From the Dark Web to the Future of Privacy (Ben Collier)
Post under Hacking/Hackers, Computer, Networks, and Information Security
A biography of Tor - one of the most important and misunderstood technologies of the digital age, is best known as the infrastructure underpinning the so-called Dark Web - a history of power, privacy, and global politics at the internet's core. - Python Programming for Economics and Finance
Post under Python Programming and Financial Technologies (FinTech)
Looking to enhance your skills in Economics and Finance? Dive into Python programming! With libraries like Pandas, NumPy, and Matplotlib, you can analyze data, build models, and visualize trends like never before. - Using Julia for Introductory Econometrics (Florian Heiss, et al.)
Post under Julia Programming and Financial Mathematics
This book introduces the popular, powerful and free programming language and software package Julia, focuses on implementation of standard tools and methods used in econometrics. - VLSI Design: Practical Guide for FPGA and ASIC Implementations
Post under VLSI, Electronics Circuit Design, FPGA
This book provides insight into the practical design of VLSI circuits, includes key concepts in CMOS digital design, design of DSP and communication blocks on FPGAs, ASIC front end and physical design, and analog and mixed signal design.
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