Tag: Algorithms

Discrete Probability and Algorithms


Free Download Discrete Probability and Algorithms By David Aldous (auth.), David Aldous, Persi Diaconis, Joel Spencer, J. Michael Steele (eds.)
1995 | 158 Pages | ISBN: 1461269059 | PDF | 4 MB
Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this partnership go back much longer. The papers in this volume address the latest developments in this active field. They are from the IMA Workshops "Probability and Algorithms" and "The Finite Markov Chain Renaissance." They represent the current thinking of many of the world’s leading experts in the field.Researchers and graduate students in probability, computer science, combinatorics, and optimization theory will all be interested in this collection of articles. The techniques developed and surveyed in this volume are still undergoing rapid development, and many of the articles of the collection offer an expositionally pleasant entree into a research area of growing importance.

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Approximation Algorithms for Traveling Salesman Problems


Free Download Approximation Algorithms for Traveling Salesman Problems
English | 2025 | ISBN: 1009445413 | 443 Pages | PDF | 7.5 MB
The Traveling Salesman Problem (TSP) is a central topic in discrete mathematics and theoretical computer science. It has been one of the driving forces in combinatorial optimization. The design and analysis of better and better approximation algorithms for the TSP has proved challenging but very fruitful. This is the first book on approximation algorithms for the TSP, featuring a comprehensive collection of all major results and an overview of the most intriguing open problems. Many of the presented results have been discovered only recently, and some are published here for the first time, including better approximation algorithms for the asymmetric TSP and its path version. This book constitutes and advances the state of the art and makes it accessible to a wider audience. Featuring detailed proofs, over 170 exercises, and 100 color figures, this book is an excellent resource for teaching, self-study, and further research.

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Models, Algorithms, and Technologies for Network Analysis Proceedings of the First International Conference on Network Analysi


Free Download Models, Algorithms, and Technologies for Network Analysis: Proceedings of the First International Conference on Network Analysis By N. V. Aseeva, E. M. Gromov, V. V. Tyutin (auth.), Boris Goldengorin, Valery A. Kalyagin, Panos M. Pardalos (eds.)
2013 | 234 Pages | ISBN: 1461455731 | PDF | 9 MB
​​ ​Network Analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of these proceedings is to overcome this difficulty by collecting the major results found by the participants of the "First International Conference in Network Analysis," held at The University of Florida, Gainesville, USA, from the 14th to the 16th of December 2011. The contributions of this conference not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology and applications.

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Learning JavaScript Data Structures and Algorithms Enhance your problem-solving skills in JavaScript and TypeScript


Free Download Learning JavaScript Data Structures and Algorithms: Enhance your problem-solving skills in JavaScript and TypeScript by Loiane Groner
English | February 11, 2025 | ISBN: 1836205392 | 572 pages | EPUB | 4.58 Mb
Solidify your computer science fundamentals and choose the right data structures and algorithms for your programs – with new TypeScript focus and exercises.

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Earth System Modelling – Volume 2 Algorithms, Code Infrastructure and Optimisation


Free Download Earth System Modelling – Volume 2: Algorithms, Code Infrastructure and Optimisation By Luca Bonaventura, René Redler, Reinhard Budich (auth.)
2012 | 96 Pages | ISBN: 3642238300 | PDF | 2 MB
Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the historical development, state of the art and future perspectives of the mathematical techniques employed for numerical approximation of the equations describing atmospheric and oceanic motion. Furthermore, it describes the main computer science and software engineering strategies employed to turn these mathematical methods into effective tools for understanding earth’s climate and forecasting its evolution. These methods and the resulting computer algorithms lie at the core of earth system models and are essential for their effectiveness and predictive skill.

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Optimization Algorithms, Video Edition by Alaa Khamis


Free Download Optimization Algorithms, Video Edition by Alaa Khamis
Released: 10/2024
Duration: 15h 54m | .MP4 1920×1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 3 GB
Genre: eLearning | Language: English
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.

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The Art of Randomness Randomized Algorithms in the Real World


Free Download The Art of Randomness: Randomized Algorithms in the Real World
English | 2024 | ISBN: 1718503245 | 400 Pages | True AZW3 | 17 MB
The Art of Randomness is a hands-on guide to mastering the many ways you can use randomized algorithms to solve real programming and scientific problems. You’ll learn how to use randomness to run simulations, hide information, design experiments, and even create art and music. All you need is some Python, basic high school math, and a roll of the dice.

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Stochastic Recursive Algorithms for Optimization Simultaneous Perturbation Methods


Free Download Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods By S. Bhatnagar, H.L. Prasad, L.A. Prashanth (auth.)
2013 | 302 Pages | ISBN: 1447142845 | PDF | 3 MB
Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fractional estimators for gradient- and Hessian-based methods are presented. These algorithms: * are easily implemented; * do not require an explicit system model; and * work with real or simulated data. Chapters on their application in service systems, vehicular traffic control and communications networks illustrate this point. The book is self-contained with necessary mathematical results placed in an appendix. The text provides easy-to-use, off-the-shelf algorithms that are given detailed mathematical treatment so the material presented will be of significant interest to practitioners, academic researchers and graduate students alike. The breadth of applications makes the book appropriate for reader from similarly diverse backgrounds: workers in relevant areas of computer science, control engineering, management science, applied mathematics, industrial engineering and operations research will find the content of value.

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The Economy of Algorithms AI and the Rise of the Digital Minions, UK Edition


Free Download The Economy of Algorithms: AI and the Rise of the Digital Minions, UK Edition by Marek Kowalkiewicz
English | March 5th, 2024 | ISBN: 1529242460 | 240 pages | True EPUB | 1.03 MB
Welcome to the economy of algorithms. It’s here and it’s growing. In the past few years, we have been flooded with examples of impressive technology. Algorithms have been around for hundreds of years, but they have only recently begun to ‘escape’ our understanding. When algorithms perform certain tasks, they’re not just as good as us, they’re becoming infinitely better, and, at the same time, massively more surprising. We are so impressed by what they can do that we give them a lot of agency. But because they are so hard to comprehend, this leads to all kinds of unintended consequences.

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