Introduction To Scientific And Technical Computing

Author: Frank T. Willmore
Publisher: CRC Press
ISBN: 9781315351858
Size: 12.98 MB
Format: PDF, ePub, Mobi
View: 77

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.

Quantum Computing

Author: Eleanor G. Rieffel
Publisher: MIT Press
ISBN: 9780262015066
Size: 14.11 MB
Format: PDF, ePub
View: 57

A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples.

Numerical Computing With Matlab

Author: Cleve B. Moler
Publisher: SIAM
ISBN: 9780898716603
Size: 16.38 MB
Format: PDF, Docs
View: 15

A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.

Mastering Python Scientific Computing

Author: Hemant Kumar Mehta
Publisher: Packt Publishing Ltd
ISBN: 9781783288830
Size: 11.70 MB
Format: PDF, Mobi
View: 54

A complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered. Most of the Python APIs and tools used in scientific computing are discussed in detail The concepts are discussed with suitable example programs Who This Book Is For If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming. What You Will Learn Fundamentals and components of scientific computing Scientific computing data management Performing numerical computing using NumPy and SciPy Concepts and programming for symbolic computing using SymPy Using the plotting library matplotlib for data visualization Data analysis and visualization using Pandas, matplotlib, and IPython Performing parallel and high performance computing Real-life case studies and best practices of scientific computing In Detail In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs. Style and approach This book follows a hands-on approach to explain the complex concepts related to scientific computing. It details various APIs using appropriate examples.

Parallel Scientific Computing In C And Mpi

Author: George Em Karniadakis
Publisher: Cambridge University Press
ISBN: 0521817544
Size: 19.14 MB
Format: PDF
View: 49

Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

Forensic Science

Author: Stuart H. James
Publisher: Taylor & Francis
ISBN: 9781439853863
Size: 18.88 MB
Format: PDF, ePub
View: 80

Covering a range of fundamental topics essential to modern forensic investigation, the fourth edition of the landmark text Forensic Science: An Introduction to Scientific and Investigative Techniques presents contributions from experts in the field who discuss case studies from their own personal files. This edition has been thoroughly updated to reflect the cutting edge of forensic science across many different areas. Designed for a single-term course at the lower undergraduate level, the book begins by discussing the intersection of law and forensic science, how things become evidence, and how courts decide if an item or testimony should be admissible. It takes the evidence from crime scene investigation into laboratory analysis and even onto the autopsy table for the fullest breadth of subject matter of any forensic text available. Topics include Forensic anthropology and the role of entomology in a death investigation Death investigation, including identifying the cause, manner, mechanism, and time of death Bloodstain pattern analysis, the identification of blood and body fluids, the work of forensic toxicologists, and seized drug analysis The history and development of DNA typing and the many ways it can be used Fingerprint, firearm and ballistic, tool mark, tread impression, and trace evidence The forensic analysis of questioned documents and computers Arson, fire, explosives, and the work of forensic engineers in vehicular accidents and structural collapses Forensic psychology and psychiatry, including criminal profiling The future of forensic science Going beyond theory to application, this text incorporates the wisdom of forensic practitioners who discuss the real cases they have investigated. Color-coded sidebars in each chapter provide historical notes, case studies, and current events as well as advice for career advancement. Each section and each chapter begins with an overview and ends with a summary, and key terms, review questions, and up-to-date references are provided. Appropriate for any sensibility, more than 300 photos from real cases give students a true-to-life learning experience. *Access to identical eBook version included