English | 2020 | ISBN: 0750332859 | 147 pages | True (PDF,EPUB,MOB) | 20.1 MB
In the course of only a few decades computers have revolutionized scientific research and more and more scientists are writing computer programs for doing their work. In spite of the ubiquitous use of computers in science, few researchers in the natural sciences have any schooling in computer science, software engineering, or numerical analysis. They usually acquire their computing knowledge "on the job" and often feel overwhelmed by the amount of computing knowledge they must absorb.

English | 2022 | ISBN: 3030896978 | 1454 pages | pdf, epub | 307.25 MB
This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book can be useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2021 17th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021, 24-26 July 2021, Guiyang, China). All papers were rigorously peer-reviewed by experts in the areas.

Created by Atchyut Kumar | Last updated 12/2021
Duration: 11h 51m | 11 sections | 103 lectures | Video: 1280x720, 44 KHz | 5.3 GB
Genre: eLearning | Language: English + Sub

English | 2021 | ISBN: 1260570711 | 336 pages | True EPUB | 8.56 MB
This text provides a detailed introduction to the computational techniques, numerical methods, and computational tools used by engineering students. It is aimed at first or second year students, and is intended to provide the theoretical and computational foundation required for advanced study in engineering. The text provides a foundation in computational theory, and an overview of thenumerical methods used by engineering students and practicing engineers. The text focuses on implementation of these computational techniques using two widely-used software packages: MATLAB, which provides a structured programming environment, and Excel, which is a ubiquitous spreadsheet application. Throughout the text, these two softwares are used to demonstrate the computational techniques developed in the text, and their advantages and limitations are described.

English | 2021 | ISBN: 036789436X , 978-0367894368 | 421 pages | True PDF EPUB | 40.68 MB
Bayesian Modeling and Computation in Pythonaims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory.

English | 2021 | ISBN: 1119654718 | 352 pages | True PDF | 13.58 MB
COMPUTATION IN BIOINFORMATICS

Last Update: 8/2021
Duration: 46m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 330 MB
Genre: eLearning | Language: English

English | 2020 | ISBN: 1786348055 | 1583 pages | True EPUB | 344.99 MB
This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.

English | 2021 | ISBN: 0367547848 | 628 pages | True EPUB | 12.37 MB
Most problems encountered in chemical engineering are sophisticated and interdisciplinary. Thus, it is important for today's engineering students, researchers, and professionals to be proficient in the use of software tools for problem solving. MATLAB®is one such tool that is distinguished by the ability to perform calculations in vector-matrix form, a large library of built-in functions, strong structural language, and a rich set of graphical visualization tools. Furthermore, MATLAB integrates computations, visualization and programming in an intuitive, user-friendly environment.
Chemical Engineering Computation with MATLAB®presents basic to advanced levels of problem-solving techniques using MATLAB as the computation environment. The book provides examples and problems extracted from core chemical engineering subject areas and presents a basic instruction in the use of MATLAB for problem solving. It provides many examples and exercises and extensive problem-solving instruction and solutions for various problems. Solutions are developed using fundamental principles to construct mathematical models and an equation-oriented approach is used to generate numerical results. A wealth of examples demonstrate the implementation of various problem-solving approaches and methodologies for problem formulation, problem solving, analysis, and presentation, as well as visualization and documentation of results. This book also provides aid with advanced problems that are often encountered in graduate research and industrial operations, such as nonlinear regression, parameter estimation in differential systems, two-point boundary value problems and partial differential equations and optimization.

Armond Duwell, "Physics and Computation "
English | ISBN: 1009108557 | 2021 | 75 pages | PDF | 1491 KB
This Element has three main aims. First, it aims to help the reader understand the concept of computation that Turing developed, his corresponding results, and what those results indicate about the limits of computational possibility. Second, it aims to bring the reader up to speed on analyses of computation in physical systems which provide the most general characterizations of what it takes for a physical system to be a computational system. Third, it aims to introduce the reader to some different kinds of quantum computers, describe quantum speedup, and present some explanation sketches of quantum speedup. If successful, this Element will equip the reader with a basic knowledge necessary for pursuing these topics in more detail.