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![]() Free Download Computational Statistics in Java English | 2025 | ASIN: B0F2SHYCPC | 693 Pages | PDF | 17.29 MB In this book, we aimed to address the topic of computational statistics, which is so important for the scientific community and, especially, for students in graduate programs in statistics. We can confidently state that computational statistics has become, and currently is, one of the main areas of statistics. Moreover, the knowledge in this area can be, and often is, applied in other fields of statistics, engineering, and physics. Bayesian inference is a typical example where a computational approach is generally used. When we conceived this book, we had many doubts about what to cover and how to approach each chosen topic. Thus, we opted to write a book that would allow the reader to go beyond a simple set of instructions, without getting lost in a maze of proofs. On the other hand, we sought to present models and methods in a comprehensive and non-restrictive manner. ![]() Free Download Computational Methods for Inverse Problems and Applications English | 2025 | ISBN: 3031894979 | 210 Pages | PDF EPUB (True) | 58 MB This book highlights recent trends in inverse problems and their integration with computer science, a field rapidly evolving yet underexplored mathematically. ICMDS 2024 aims to unite scientists to explore the latest in mathematics and its applications across various scientific disciplines. Key topics include inverse problems, partial differential equations, mathematical control, numerical analysis, and computer science. Our goal is to provide substantial mathematical insights and practical applications to bridge this gap. With its growing significance in media and industry, this event promises to attract a diverse audience and foster collaboration across scientific domains. The main contribution of this book is to give some sufficient mathematical content with expressive results and accurate applications. As a growing field, it is gaining a lot of attention both in media as well as in the industry world, which will attract the interest of readers from different scientist discipline. ![]() Free Download Computational Fluid Dynamics: an Overview of Methods English | 2019 | ASIN: B082FPFN1M | 117 pages | Epub | 7.03 MB Fluid flow is a very broad and complicated topic because of the many different aspects and types of applications. I have covered inviscid flow, which occurs when the viscosity is negligible or the velocities are very large, in two previous texts: Differential Equations and Numerical Calculus. I may at some point cover creeping flow, which occurs when the viscosity dominates momentum or the velocities are very small. In this text we will cover the range between these two extremes: when viscosity and momentum are both important, at least in some significant part of the flow field. This is by no means an exhaustive reference on the subject of computational fluid dynamics; rather, it is an introduction and overview, going just far enough to get the reader started along this path with some helpful direction based on years of experience. I have striven to make this a clear presentation, particularly of finite elements, avoiding the traditional esoteric derivations that never seem to arrive at any useful destination. The impetus to undertake this project has arisen from my interacting with many graduate students on Research Gate, who are pursuing CFD and struggling with traditional presentations. You must make decisions when you arrive at a fork in the proverbial road (such as FDM, FVM, or FEM) and I hope this text will provide you with enough information to do that without me imposing my personal preference. ![]() Free Download Compression & Encryption: Algorithms & Software English | 2019 | ASIN: B07VF9Z3XT | 135 pages | PDF | 1.57 MB This book covers various algorithms for compression and encryption, some of which overlap, serving both purposes simultaneously. We will discuss why one algorithm works better for one case and not another as well as how different implementations are superior or more robust. 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