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Free Ebooks DownloadWelcome to DL4ALL.org – your ultimate destination for ebooks across every genre. Whether you’re into fiction, self-help, education, or niche topics, we offer an extensive library to satisfy your thirst for knowledge and entertainment. Why Choose DL4ALL.org?
Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems English | 2023 | ISBN: 8770227241 | 551 Pages | EPUB (True) | 30 MB After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.  Investing for Growth: How to make money by only buying the best companies in the world - An anthology of investment writing, 2010-20 English | 2020 | ISBN: 0857199013 | 247 Pages | EPUB (True) | 1.5 MB  Inverse Semigroups: The Theory Of Partial Symmetries English | 2026 | ISBN: 9819816769 | 478 Pages | EPUB (True) | 3.4 MB This extensively revised second edition of Inverse Semigroups offers a comprehensive and accessible introduction to the subject, aimed at graduate students and researchers across mathematics. First published in 1998 and still widely read, this seminal text has now been reorganized, updated, and expanded to reflect the many advances in the field over the past two decades.Inverse semigroup theory continues to play a central role in modern mathematics, with growing significance in operator algebras ― particularly C*-algebras ― as well as in group theory, topos theory, and the study of partial symmetries. This edition incorporates substantial new material, culminating in two brand new chapters, which brings the theory fully up to date. With no other contemporary text focused solely on inverse semigroups and their broadening web of applications, this volume is an essential resource for both newcomers and seasoned researchers alike.  Inverse Problems in Thermal Engineering English | 2026 | ISBN: 3032189292 | 457 Pages | PDF EPUB (True) | 71 MB This book presents new methods for solving inverse heat transfer problems occurring in thermal engineering. In the inverse problems analysed in the book, the temperature distribution inside a body or the parameters in the boundary conditions are determined based on temperature measurements at selected points of the body. Analytical and numerical methods for solving inverse heat conduction problems are presented, including the determination of transient thermal stresses in structural elements with simple and complex shapes. Methods for determining thermal stresses on the inner surface of pressure components based on measuring the temperature of the component inside the wall or based on measuring the temperature on an easily accessible, thermally insulated outer surface of the pressure component are presented. Methods for determining the optimum time temperature changes of the fluid in pressure components during heating or cooling are presented, so that the total circumferential stress resulting from pressure and thermal loading is equal to the permissible stress.  Inverse Problems for Stochastic Partial Differential Equations English | 2026 | ISBN: 9789819590490 | 147 Pages | PDF EPUB (True) | 10 MB This book provides a comprehensive and systematic introduction to inverse problems for stochastic partial differential equations (SPDEs), with particular emphasis on stochastic parabolic and hyperbolic equations. It addresses both the unique challenges and new opportunities that arise in the stochastic setting. Key topics include inverse state problems (such as determining unknown initial conditions) and inverse source problems (identifying unknown source terms), with a focus on the mathematical tools essential for their analysis, especially global Carleman estimates tailored to SPDEs. The book explores fundamental issues of uniqueness, stability, and reconstruction under various measurement scenarios, including internal, boundary, and terminal observations. It highlights how stochasticity can fundamentally alter the nature of inverse problems, sometimes enabling solutions where deterministic approaches fail. Reconstruction methods such as Tikhonov regularization are also discussed in detail. This book is intended for graduate students and researchers in applied mathematics, stochastic analysis, and PDEs, as well as practitioners in fields like mathematical finance, physics, and engineering who require rigorous methods for uncertainty quantification. A moderate background in PDEs, functional analysis, and basic stochastic calculus is beneficial.  Introductory Physical Geology English | 2026 | ISBN: 3032202302 | 389 Pages | PDF (True) | 350 MB Introductory Physical Geology, written by an author who has been the instructor of record for this course for approximately two decades and taught it via Face-To-Face, ONLINE, and Hybrid forms of content delivery, is designed to suit the needs of both students and instructors in college and high school. Well-illustrated diagrams and photographs are used extensively to simplify and illustrate concepts. The internet is also invoked to help students easily grasp the content and complement in-class activities. An extensive Test Bank and several ONLINE activities for assignments or homework, enable instructors to evaluate student learning objectives. Having taught this course at 8 different Universities in the United States as the Instructor of Record for almost 2 decades, the author's extensive experience gained during this time is evident in the manner the text and various forms of illustrations are utilized to aid the student learning experience. Additionally, the author brings together the boatload of knowledge, content delivery techniques, and materials that he acquired from having been taught by various instructors of different backgrounds, ethnicities, and expertise at the 5 universities in three different countries where he studied at and graduated from. Adopt this Textbook today!  Introductory Course on Differential Equations English | 2014 | ISBN: 8184873999 | 598 Pages | PDF (True) | 4 MB Introductory Course on DIFFERENTIAL EQUATIONS has been written as a textbook for a first course  Introduction to the Mathematical Physics of Nonlinear Waves English | 2021 | ISBN: 0750337575 | 167 Pages | EPUB (True) | 8 MB Written for students at upper-undergraduate and graduate levels, it is suitable for advanced physics courses on nonlinear physics. The book covers the fundamental properties of nonlinear waves, dealing with both theory and experiment. The aim is to emphasize established tools and introduce new methods underpinning important new developments in this field, especially as applied to solid-state materials. The updated edition has been extended to emphasize the importance of thermodynamics in a description of modulated crystals and contains new chapters on superconductivity that can be interpreted by the soliton mechanism. It is also updated to include new end-of-chapter problems.  Introduction to Tensor Network Methods: From Many-Body Quantum Systems to Machine Learning English | 2026 | ISBN: 3032176344 | 339 Pages | PDF EPUB (True) | 45 MB This second edition of the textbook Introduction to Tensor Network Methods contains more advanced and technical parts as new topics related to tensor network algorithms that have been developed in the last few years. The reader finds new chapters dedicated to tree tensor networks for high-dimensional systems as applications to lattice gauge theory. The implementation of tensor networks for machine learning is also presented in detail.  Introduction to Scientific Computation: A First Course for Physics, Mathematics and Engineering Majors English | 2026 | ISBN: 9819815487 | 323 Pages | EPUB (True) | 3 MB This book introduces scientific computation in an accessible and interactive way for undergraduates, especially those in the sciences, engineering, and mathematics. No prior programming experience is expected. Readers can begin directly from the introductory chapters, which cover basic elements of the Python programming language, then progress to the main chapters where techniques of scientific computation are presented and applied to specific problems. Examples and exercises are included in detail, covering diverse topics from various branches of science. These include cellular automata, the driven damped pendulum, Euler-Bernoulli beam theory, Newton's law of cooling, and many others. |
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