Chapter 1. The Second-Order Analytic Approximation to the Solution of the Euler-Hill Equations of Relative Motion.- Chapter 2. Analytic Solutions for the Perturbed Motion of a Spacecraft in Near-Circular Orbit, Under the Influence of the J2 and J3 Earth Zonal Harmonics, in Rotating and Inertial Cartesian Reference Frames.- Chapter 3. Analytic Solutions for the Perturbed Motion of a Spacecraft in Near-Circular Orbit, Under the Influence of the Luni-Solar Gravity, in Rotating and Inertial Cartesian Reference Frames.- Chapter 4. Effect of Luni-Solar Gravity Perturbations on a Near-Circular Orbit: Third-Body Orbit Eccentricity Considerations.- Chapter 5. Effect of Atmospheric Drag Perturbation on Circular Orbits: Atmosphere Rotation Considerations.- Chapter 6. Analytic Solution of Terminal Rendezvous in Near-Circular Orbit Around the Oblate Earth: The Computation of the Starting Guess for Iterations.- Chapter 7. Techniques of Accurate Analytic Terminal Rendezvous in Near-Circular Orbit.- Chapter 8. Coplanar Two-Impulse Rendezvous in General Elliptic Orbit with Drag.- Chapter 9. The Analysis of the Relative Motion in General Elliptic Orbit With Respect to a Dragging and Precessing Coordinate Frame.- Chapter 10. The Algorithm of the Two-Impulse Time-Fixed Noncoplanar Rendezvous with Drag and Oblateness Effects.- Chapter 11. The Analysis and Implementation of In-Plane Stationkeeping of Continuously Perturbed Walker Constellations.- Chapter 12. The Mathematical Models of the Jet Propulsion Laboratory (JPL) Artificial Satellite Analysis Program (ASAP)
Автор: Rudolf Hilfer; World Scientific Название: Applications of fractional calculus in physics / ISBN: 9810234570 ISBN-13(EAN): 9789810234577 Издательство: World Scientific Publishing Рейтинг: Цена: 157350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume provides an introduction to fractional calculus for physicists. It collects easily accessible review articles surveying those areas of physics in which applications of fractional calculus have recently become prominent.
Автор: Greiner David, Asensio Marнa Isabel, Montenegro Rafael Название: Numerical Simulation in Physics and Engineering: Trends and Applications: Lecture Notes of the XVIII `Jacques-Louis Lions` Spanish-French School ISBN: 3030625451 ISBN-13(EAN): 9783030625450 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book results from the XVIII Spanish-French School `Jacques Louis Lions` on Numerical Simulation in Physics and Engineering, that took place in Las Palmas de Gran Canaria from 25th to 29th June 2018.
Автор: John M. Stewart Название: Python for Scientists ISBN: 1316641236 ISBN-13(EAN): 9781316641231 Издательство: Cambridge Academ Рейтинг: Цена: 33780.00 T Наличие на складе: Поставка под заказ. Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language.
That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science.
Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms,
In manuscript one, Python for Beginners, you will learn:
How to install Python
What are the different Python Data Types and Variables
Basic Operators of Python Language
Data Structures and Functions
Conditional and Loops in Python
And Much More
In manuscript two, Python Advanced Guide, you will master:
Object-Oriented Programming (OOP), Inheritance and Polymorphism
Essential Programming Tools
Exception Handling
Working with Files
And Much More
In manuscript three, Python for Data Analysis, you will learn:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
The 7 Python libraries that make Python one of the best choices for Data Analysis
Pandas, Jupyter and PyTorch
And Much More
In manuscript four, Applications to Data Science, you will understand:
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Neural Networks
Decision Trees
What industries are using data to improve their business with 14 real-world applications
And So Much More
Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding.
Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications.
Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy
Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language.
That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science.
Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms,
In manuscript one, Python for Beginners, you will learn:
How to install Python
What are the different Python Data Types and Variables
Basic Operators of Python Language
Data Structures and Functions
Conditional and Loops in Python
And Much More
In manuscript two, Python Advanced Guide, you will master:
Object-Oriented Programming (OOP), Inheritance and Polymorphism
Essential Programming Tools
Exception Handling
Working with Files
And Much More
In manuscript three, Python for Data Analysis, you will learn:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
The 7 Python libraries that make Python one of the best choices for Data Analysis
Pandas, Jupyter and PyTorch
And Much More
In manuscript four, Applications to Data Science, you will understand:
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Neural Networks
Decision Trees
What industries are using data to improve their business with 14 real-world applications
And So Much More
Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding.
Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications.
Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy
Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?Do want to learn Python Machine Learning and start implementing models?
This is the most complete Python guide with 6 Manuscripts in 1 book:
Your Customers will never stop to use this book.
In Manuscripts 1 and 2 "Python For Beginners" and "Advanced Python Programming" you'll learn:
How to work with numbers in Python
How to implement Program Flow Controls
And much more...
In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn:
What Data Analysis is and why it is important
How to set up the Python environment for Data Analysis
And much more...
In Manuscript 4 "Python for Data Science" you'll learn:
What is Data Science and what does it encompass
How to set up the Python environment for Data Science
And much more...
In Manuscript 5 "Python Machine Learning" you'll learn
What is Machine Learning and what does it encompass
What are the 7 Steps of the Machine Learning Process
And much more...
In Manuscript 6 "SQL" you'll learn
Creating an SQL view
How to setup & create a database
And more..
Buy it NOW and let your customers get addicted to this amazing book
Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?Do want to learn Python Machine Learning and start implementing models?
This is the most complete Python guide with 6 Manuscripts in 1 book:
Your Customers will never stop to use this book.
In Manuscripts 1 and 2 "Python For Beginners" and "Advanced Python Programming" you'll learn:
How to work with numbers in Python
How to implement Program Flow Controls
And much more...
In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn:
What Data Analysis is and why it is important
How to set up the Python environment for Data Analysis
And much more...
In Manuscript 4 "Python for Data Science" you'll learn:
What is Data Science and what does it encompass
How to set up the Python environment for Data Science
And much more...
In Manuscript 5 "Python Machine Learning" you'll learn
What is Machine Learning and what does it encompass
What are the 7 Steps of the Machine Learning Process
And much more...
In Manuscript 6 "SQL" you'll learn
Creating an SQL view
How to setup & create a database
And more..
Buy it NOW and let your customers get addicted to this amazing book
Автор: Desai Pratik Название: Python Programming for Arduino: Develop practical Internet of Things prototypes and applications with Arduino and Python ISBN: 1783285931 ISBN-13(EAN): 9781783285938 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learn how Arduino can be combined with Python to develop advanced Internet of Things projects. This book starts with designing hardware prototypes using Arduino and covers everything you need to develop complex cloud applications with the help of a variety of examples and detailed explanations.
Название: Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Second Edition ISBN: 0367092069 ISBN-13(EAN): 9780367092061 Издательство: Taylor&Francis Рейтинг: Цена: 205920.00 T Наличие на складе: Нет в наличии. Описание: This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations.
Автор: Steeb, W.H. Название: C++ Programming with Applications in Administration, Finance and St... ISBN: 981024066X ISBN-13(EAN): 9789810240660 Издательство: World Scientific Publishing Рейтинг: Цена: 103490.00 T Наличие на складе: Невозможна поставка. Описание: Object-oriented programming has been the most dramatic innovation in software development in the last decade. It offers a powerful way to cope with the complexity of programs. C++ is by far the most popular object-oriented language.This book gives a complete introduction to C++ and object-oriented programming. Additionally, it provides a large collection of C++ programs which are useful in finance, administration and statistics. The book contains more than 20 fully developed classes and more than 200 ready-to-run programs. The Standard Template Library is also included.
Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical analysis as well as computational methods for trading ETFs, options, futures on commodities or volatility indices, and credit risk derivatives.
This book offers a unique financial engineering approach that combines novel analytical methodologies and applications to a wide array of real-world examples. It extracts the mathematical problems from various trading approaches and scenarios, but also addresses the practical aspects of trading problems, such as model estimation, risk premium, risk constraints, and transaction costs. The explanations in the book are detailed enough to capture the interest of the curious student or researcher, and complete enough to give the necessary background material for further exploration into the subject and related literature.
This book will be a useful tool for anyone interested in financial engineering, particularly algorithmic trading and commodity trading, and would like to understand the mathematically optimal strategies in different market environments.
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