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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  Free Download Object Oriented Programming, 3rd Edition English | 2023 | ISBN: 1984679724 | 348 Pages | PDF (True) | 23 MB Object-oriented programming (OOP) is a programming paradigm that allows you to wrap up data states and functions to change those data states while hiding the details (like the lightbulb). Therefore code with OOP design is flexible, modular and abstract. This makes it particularly useful when building larger programs. Object-oriented programming (OOP) is a way of thinking and organizing code for maximum reusability. In this type of programming, a program includes objects that can interact with the user, other objects, or other programs. This makes programs more efficient and easier to understand. In this prospect, the data structure becomes an object that contains both data and functions. 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Free Download Numerical Methods for Metric Graphs: Eigenvalue Problems and Parabolic Partial Differential Equations Lecture Notes in Mathematics by Anna Weller English | November 22, 2025 | ISBN: 3032050103 | 211 pages | True ePUB, PDF | 39 Mb This book discusses the fundamentals of the numerics of parabolic partial differential equations posed on network structures interpreted as metric spaces. These so-called metric graphs frequently occur in the context of quantum graphs, where they are studied together with a differential operator and coupling conditions at the vertices. The two central methods covered here are a Galerkin discretization with linear finite elements and a spectral Galerkin discretization with basis functions obtained from an eigenvalue problem on the metric graph. The solution of the latter eigenvalue problems, i.e., the computation of quantum graph spectra, is therefore an important aspect of the method, and is treated in depth. Further, a real-world application of metric graphs to the modeling of the human connectome (brain network) is included as a major motivation for the investigated problems. Aimed at researchers and graduate students with a practical interest in diffusion-type and eigenvalue problems on metric graphs, the book is largely self-contained; it provides the relevant background on metric (and quantum) graphs as well as the discussed numerical methods. Numerous detailed numerical examples are given, supplemented by the publicly available Julia package MeGraPDE.jl.  Free Download Numerical Methods for Least Squares Problem English | 2024 | ISBN: 1611977940 | 310 Pages | PDF (True) | 9 MB The method of least squares, discovered by Gauss in 1795, is a principal tool for reducing the influence of errors when fitting a mathematical model to given observations. Applications arise in a great number of areas in sciences and engineering. The increased use of automatic data capturing frequently leads to large-scale least squares problems. Such problems can be solved by using recent developments in preconditioned iterative methods and in sparse QR factorization.  Free Download Numerical Linear Algebra with Julia English | 2021 | ISBN: 1611976545 | 421 Pages | PDF | 21 MB Numerical Linear Algebra with Julia provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient. The style is friendly and approachable and cartoon characters guide the way.  Free Download Number Theory: An Elementary Introduction Through Diophantine Problems (Monographs in Number Theory) (Volume 4) English | 2010 | ISBN: 9814307459 | 348 Pages | PDF | 12 MB |
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