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Extending and Modifying LAMMPS Writing Your Own Source Code
A pragmatic guide to extending LAMMPS as per custom simulation requirements
2021
EN
Understand the LAMMPS source code and modify it to meet your research needs, and run simulations for bespoke applications involving forces, thermostats, pair potentials and more with easeKey FeaturesUnderstand the structure of the LAMMPS source codeImplement custom features in the LAMMPS source code to meet your research needsRun example simulations involving forces, thermostats, and pair potentials based on implemented featuresBo...
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Matlab
A Practical Introduction to Programming and Problem Solving
2011
EN
MATLAB: A Practical Introduction to Programming and Problem Solving, Second Edition, is the only book that gives a full introduction to programming in MATLAB combined with an explanation of MATLAB's powerful functions, enabling engineers to fully exploit the software's power to solve engineering problems. The text aims to provide readers with the knowledge of the fundamentals of programming concepts and the skills and techniques needed for basic problem solving using MATLAB as the vehicle....
Doing Math with Python
Use Programming to Explore Algebra, Statistics, Calculus, and More!
2015
EN
Accessible
Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things.Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science...
Matlab
A Practical Introduction to Programming and Problem Solving
- Series -
- Hahn and Attaway Bundle
2009
EN
MATLAB: A Practical Introduction to Programming and Problem Solving discusses the basic programming concepts and skills needed for problem solving using MATLAB software. It is the only book that gives a full introduction to programming in MATLAB combined with an explanation of MATLAB's powerful functions. The book differs from other texts in that it teaches programming concepts and the use of the built-in functions in MATLAB simultaneously. It presents programming concepts and MATLAB built...
Angular: Up and Running
Learning Angular, Step by Step
2018
EN
This book will demystify Angular as a framework, as well as provide clear instructions and examples on how to get started with writing scalable Angular applications.Angular: Up & Running covers most of the major pieces of Angular, but in a structured manner that is generally used in hands-on training. Each chapter takes one concept, and use examples to cover how it works. Problems to work on (with solutions) at the end of each chapter reinforce the learnings of each chapter and all...
Angular 2 Cookbook
Discover over 70 recipes that provide the solutions you need to know to face every challenge in Angular 2 head on
2017
EN
Over 70 recipes to build applications with Angular 2Key Features\[\*\] A first-rate reference guide with a clear structure and intuitive index that gives you as a developer exactly the information you want in exactly the way you want it\[\*\] Covers no legacy material from the outdated Angular release candidates; it is up-to-date with the latest release of Angular 2.4\[\*\] All the code in the book is explicitly written out, and every piece of ...
Introduction to Programming in Python
An Interdisciplinary Approach
2015
EN
Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it.Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools n...
GNU Octave Beginner's Guide
Become a proficient Octave user by learning this high-level scientific numerical tool from the ground up
2011
EN
Become a proficient Octave user by learning this high-level scientific numerical tool from the ground upKey FeaturesThe easiest way to use GNU Octave's power and flexibility for data analysisWork with GNU Octave's interpreter – declare and control mathematical objects like vectors and matricesRationalize your scripts and control program flowExtend GNU Octave and implement your own functionalityGet to know the vast built-in f...
Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python
2016
EN
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.The book outlines the shortest possible path from no previous experience with programming to a set of skills that...
Matlab
A Practical Introduction to Programming and Problem Solving
2013
EN
MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software's powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on concepts throughout the text, facilitating easier learning. Sections on common pitfalls and programming guidelines direct students towards best practice. The book is org...
Deep Reinforcement Learning Hands-On
Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
2018
EN
Publisher\\'s Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.Key FeaturesExplore deep reinforcement learning (RL), from the first principles to the latest algorithmsEvaluate high-profile RL methods, in...
Learning RxJava
Reactive, Concurrent, and responsive applications
2017
EN
Reactive Programming with Java and ReactiveXKey Features\[\*\]Explore the essential tools and operators RxJava provides, and know which situations to use them in\[\*\]Delve into Observables and Subscribers, the core components of RxJava used for building scalable and performant reactive applications\[\*\]Delve into the practical implementation of tools to effectively take on complex tasks such as concurrency and backpressureBook D...











