Free Download WALCOM: Algorithms and Computation
English | 2024 | ISBN: 9819705657 | 449 Pages | PDF (True) | 11 MB
The 28 full papers presented in this book, together with two extended abstracts of invited talks, were carefully reviewed and selected from 80 submissions. They cover diverse areas of algorithms and computation, that is, approximation algorithms, algorithmic graph theory and combinatorics, combinatorial algorithms, combinatorial optimization, computational biology, combinatorial reconfiguration, computational complexity, computational geometry, discrete geometry, data structures, experimental algorithm methodologies, graph algorithms, graph drawing, parallel and distributed algorithms, parameterized algorithms, parameterized complexity, network optimization, online algorithms, randomized algorithms, and string algorithms.

Free Download Metapolitics, Algorithms and Violence: New Right Activism and Terrorism in the Attention Economy
by Ico Maly
English | 2024 | ISBN: 1032251026 | 325 Pages | PDF | 33 MB

Free Download Metaheuristic Algorithms: Theory and Practice
English | 2024 | ISBN: 1032714042 | 470 Pages | PDF (True) | 21 MB
In the theoretical section, the book introduces the information feedback model, learning-based intelligent optimization, dynamic multi-objective optimization, and multi-model optimization. In the applications section, the book presents applications of optimization algorithms to neural architecture search, fuzz testing, oceans, and image processing. The neural architecture search chapter introduces the latest NAS method. The fuzz testing chapter uses multi-objective optimization and ant colony optimization to solve the seed selection and energy allocation problems in fuzz testing. In the ocean chapter, deep learning methods such as CNN, transformer, and attention-based methods are used to describe ENSO prediction and image processing for marine fish identification, and to provide an overview of traditional classification methods and deep learning methods.

Free Download Kazufumi Ito, "INVERSE PROBLEMS: TIKHONOV THEORY AND ALGORITHMS "
English | ISBN: 9814596191 | 2014 | 332 pages | PDF | 3 MB
Inverse problems arise in practical applications whenever one needs to deduce unknowns from observables. This monograph is a valuable contribution to the highly topical field of computational inverse problems. Both mathematical theory and numerical algorithms for model-based inverse problems are discussed in detail. The mathematical theory focuses on nonsmooth Tikhonov regularization for linear and nonlinear inverse problems. The computational methods include nonsmooth optimization algorithms, direct inversion methods and uncertainty quantification via Bayesian inference.The book offers a comprehensive treatment of modern techniques, and seamlessly blends regularization theory with computational methods, which is essential for developing accurate and efficient inversion algorithms for many practical inverse problems.It demonstrates many current developments in the field of computational inversion, such as value function calculus, augmented Tikhonov regularization, multi-parameter Tikhonov regularization, semismooth Newton method, direct sampling method, uncertainty quantification and approximate Bayesian inference. It is written for graduate students and researchers in mathematics, natural science and engineering.

Free Download Claus Matzinger, "Hands-On Data Structures and Algorithms with Rust: Learn programming techniques to build effective, maintainable, and readable code in Rust 2018"
English | 2019 | pages: 316 | ISBN: 178899552X | EPUB | 3,1 mb
Design and implement professional level programs by exploring modern data structures and algorithms in Rust.

Free Download Graph Algorithms for Data Science
by Tomaz Bratanic
English | 2024 | ISBN: 1617299464 | 352 pages | True/Retail EPUB | 22.25 MB

Free Download Graph Algorithms for Data Science: With Examples in Neo4j
English | 2024 | ISBN: 1617299464 | 467 Pages | EPUB | 23 MB
Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment.

Free Download From Algorithms to Thinking Machines
by Talia, Domenico;
English | 2024 | ISBN: 9798400708572 | 360 pages | True PDF EPUB | 6.35 MB

Free Download Data Structures and Algorithms with the C++ STL: A guide for modern C++ practitioners
English | 2024 | ISBN: 1835468551 | 458 Pages | EPUB (True) | 5 MB
While the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL's components, covering fundamental data structures, advanced algorithms, and concurrency features.

Free Download Cryptography
by Mammeri, Zoubir Z.;
English | 2024 | ISBN: 1394207484 | 616 pages | True PDF | 39.77 MB