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A Crash Course In Mathematica
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Book Synopsis A Crash Course in Mathematica by : Stephan Kaufmann
Download or read book A Crash Course in Mathematica written by Stephan Kaufmann and published by Birkhäuser. This book was released on 2012-12-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compact introduction to Mathematicaaccessible to beginners at all levelspresents the basic elements of the latest version 3 (front §End.txt.Int.:, kernel, standard packages). Using examples and exercises not specific to a scientific area, it teaches readers how to effectively solve problems in their own field. The cross-platform CD-ROM contains the entire book in the form of Mathematica notebooks, including color graphics, animations, and hyperlinks, plus the program MathReader.
Book Synopsis A Crash Course in Mathematica by : Stephan Kaufmann
Download or read book A Crash Course in Mathematica written by Stephan Kaufmann and published by Birkhauser. This book was released on 1999-01-01 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Math: a Crash Course by : BRIAN. MORRIS CLEGG (PEET.)
Download or read book Math: a Crash Course written by BRIAN. MORRIS CLEGG (PEET.) and published by . This book was released on 2019-07-30 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: It's a sad truth that math has the reputation of being "difficult." Part of the problem is that many of us simply don't speak the language. To a mathematician, an equation is a compact, efficient way to put across a relationship that would be far less comprehensible in words. But to many of us, the merest sign of an x, y, or symbol is an impenetrable mess that our eyes bounce off. This book provides an engaging overview of what math is and what it can do, without having to solve simultaneous equations or prove geometric theorems, far more of us might get the point of it. It is divided into four chapters, each covering a major developmental route in the topic, from Arithmetic & Numbers to Geometry and from Algebra & Calculus to Applied Mathematics.
Book Synopsis Computational Financial Mathematics using MATHEMATICA® by : Srdjan Stojanovic
Download or read book Computational Financial Mathematics using MATHEMATICA® written by Srdjan Stojanovic and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given the explosion of interest in mathematical methods for solving problems in finance and trading, a great deal of research and development is taking place in universities, large brokerage firms, and in the supporting trading software industry. Mathematical advances have been made both analytically and numerically in finding practical solutions. This book provides a comprehensive overview of existing and original material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user-friendly style, and a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte-- Carlo. Nowadays, only good personal computers are required to handle the symbolic and numerical methods that are developed in this book. Key features: * No previous knowledge of Mathematica programming is required * The symbolic, numeric, data management and graphic capabilities of Mathematica are fully utilized * Monte--Carlo solutions of scalar and multivariable SDEs are developed and utilized heavily in discussing trading issues such as Black--Scholes hedging * Black--Scholes and Dupire PDEs are solved symbolically and numerically * Fast numerical solutions to free boundary problems with details of their Mathematica realizations are provided * Comprehensive study of optimal portfolio diversification, including an original theory of optimal portfolio hedging under non-Log-Normal asset price dynamics is presented The book is designed for the academic community of instructors and students, and most importantly, will meet the everyday trading needs of quantitatively inclined professional and individual investors.
Book Synopsis Mathematica Data Visualization by : Nazmus Saquib
Download or read book Mathematica Data Visualization written by Nazmus Saquib and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
Book Synopsis A Course in Differential Equations with Boundary Value Problems by : Stephen A. Wirkus
Download or read book A Course in Differential Equations with Boundary Value Problems written by Stephen A. Wirkus and published by CRC Press. This book was released on 2017-01-24 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Course in Differential Equations with Boundary Value Problems, 2nd Edition adds additional content to the author’s successful A Course on Ordinary Differential Equations, 2nd Edition. This text addresses the need when the course is expanded. The focus of the text is on applications and methods of solution, both analytical and numerical, with emphasis on methods used in the typical engineering, physics, or mathematics student’s field of study. The text provides sufficient problems so that even the pure math major will be sufficiently challenged. The authors offer a very flexible text to meet a variety of approaches, including a traditional course on the topic. The text can be used in courses when partial differential equations replaces Laplace transforms. There is sufficient linear algebra in the text so that it can be used for a course that combines differential equations and linear algebra. Most significantly, computer labs are given in MATLAB®, Mathematica®, and MapleTM. The book may be used for a course to introduce and equip the student with a knowledge of the given software. Sample course outlines are included. Features MATLAB®, Mathematica®, and MapleTM are incorporated at the end of each chapter All three software packages have parallel code and exercises There are numerous problems of varying difficulty for both the applied and pure math major, as well as problems for engineering, physical science and other students. An appendix that gives the reader a "crash course" in the three software packages Chapter reviews at the end of each chapter to help the students review Projects at the end of each chapter that go into detail about certain topics and introduce new topics that the students are now ready to see Answers to most of the odd problems in the back of the book
Book Synopsis Crash Course in Calculus Over Banach Algebra (Russian Edition) by : Aleks Kleyn
Download or read book Crash Course in Calculus Over Banach Algebra (Russian Edition) written by Aleks Kleyn and published by Createspace Independent Publishing Platform. This book was released on 2018-02-18 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: I considered basic definitions of calculus over Banach D-algebra: derivative of the map, definite and indefinite integral.
Book Synopsis A Course in Ordinary Differential Equations by : Stephen A. Wirkus
Download or read book A Course in Ordinary Differential Equations written by Stephen A. Wirkus and published by CRC Press. This book was released on 2006-10-23 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first contemporary textbook on ordinary differential equations (ODEs) to include instructions on MATLAB, Mathematica, and Maple A Course in Ordinary Differential Equations focuses on applications and methods of analytical and numerical solutions, emphasizing approaches used in the typical engineering, physics, or mathematics student's field o
Book Synopsis The Mathematica GuideBook for Numerics by : Michael Trott
Download or read book The Mathematica GuideBook for Numerics written by Michael Trott and published by Springer Science & Business Media. This book was released on 2006-10-27 with total page 1243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the reader with working knowledge of Mathematica and key aspects of Mathematica's numerical capabilities needed to deal with virtually any "real life" problem Clear organization, complete topic coverage, and an accessible writing style for both novices and experts Website for book with additional materials: http://www.MathematicaGuideBooks.org Accompanying DVD containing all materials as an electronic book with complete, executable Mathematica 5.1 compatible code and programs, rendered color graphics, and animations
Download or read book Analysis written by Mats Gyllenberg and published by CRC Press. This book was released on 1994-04-19 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Presenting the proceedings of the twenty-first Nordic Congress of Mathematicians at Lulearing; University of Technology, Sweden, this outstanding reference discusses recent advances in analysis, algebra, stochastic processes, and the use of computers in mathematical research."
Book Synopsis PERT Math in 10 Days by : Reza Nazari
Download or read book PERT Math in 10 Days written by Reza Nazari and published by . This book was released on 2020-10-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate crash course to help you ace the PERT Math test!The perfect quick-review study guide for students of every level, PERT Math in 10 Days is the top choice for PERT Math test takers who want to make the most of their study time and earn a high score. Designed for the student who's running out of time, this book is the perfect last-minute solution that covers only the math concepts and topics tested on the exam, so you can save your valuable study time.Written by a top PERT Math instructor and test prep expert, this quick study guide gives you the critical math concepts that will matter most on exam day. It relies on the author's extensive analysis of the test's structure and content. By following his advice, you can hone your math skills, overcome exam anxiety, and boost your score.Here's why more teachers and test takers turn to this PERT Math crash course:- Content 100% aligned with the 2020 PERT test- Written by a top PERT Math instructor and test expert- Targeted Review - study only what you need to know- Step-by-step guide for all PERT Math topics- Abundant Math skills building exercises to help test-takers approach unfamiliar question types- 2 full-length practice tests (featuring new question types) with detailed answers- And much more!When it's crucial crunch time and your PERT Math test is just around the corner, you only need PERT Math in 10 Days! Practice Your Way to Excellence.Ideal for self-study and classroom usage!Visit www.EffortlessMath.com for Online Math Practice
Book Synopsis Science and Technology of Terrorism and Counterterrorism, Second Edition by : Mark A. Prelas
Download or read book Science and Technology of Terrorism and Counterterrorism, Second Edition written by Mark A. Prelas and published by CRC Press. This book was released on 2010-08-10 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, resources on terrorism and counterterrorism tend to focus on the social, behavioral, and legal aspects of the subject, with minimal emphasis on the scientific and technological aspects. Taking into account these practical considerations, the second edition of Science and Technology of Terrorism and Counterterrorism discusses the nature of terrorism and the materials used by terrorists. It describes how intelligence professionals and law enforcement personnel can detect and destroy these materials, and how they can deal with terrorist groups. This volume begins by introducing the shift in analysis of terrorist attacks after September 11, 2001 and summarizes selected case studies. It discusses the origin and nature of terrorism and the factors involved in diplomacy. Covering a broad range of topics, the book examines: Aerosol dispersion of toxic materials Bioterrorism and the manufacture, detection, and delivery of biological agents Agricultural terrorism Nuclear terrorism and nuclear weapons systems, threats, and safeguards Chemical terrorism, including manufacture, detection, delivery, and decontamination Cyber-terrorism Personal protective equipment The role of government at federal, state, and local levels The role of international agencies and their resources, capabilities, and responsibilities The National Infrastructure Protection Plan As terrorist activities increase globally, it is critical that those charged with protecting the public understand the myriad of ways in which terrorists operate. While we cannot predict where, when, and how terrorists will strike, our vigilance in staying abreast of the terrorist threat is the only way to have a fighting chance against those who seek to destroy our world.
Book Synopsis Science and Technology of Terrorism and Counterterrorism by : Tushar K. Ghosh
Download or read book Science and Technology of Terrorism and Counterterrorism written by Tushar K. Ghosh and published by CRC Press. This book was released on 2002-08-29 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: Citing viable homeland defense strategies, this book examines the potential agents, delivery methods, and toxic and nontoxic effects of possible nuclear, biological, and chemical terrorist attacks. Providing countermeasures for governmental and emergency first-response teams, the book covers the impact of WMDs on public health, agriculture, and eco
Book Synopsis MariaDB And PostgreSQL Crash Course by : Vivian Siahaan
Download or read book MariaDB And PostgreSQL Crash Course written by Vivian Siahaan and published by SPARTA PUBLISHING. This book was released on 2019-11-13 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, you will create two MariaDB and PostgreSQL driven projects using PyQt. The step-by-step guide in this book is expected to help the reader's confidence to become a programmer who can solve database programming problems. A progressive project is provided to demonstrate how to apply the concepts of MariaDB and PostgreSQL using Python. In second chapter, you will learn PyQt that consists of a number of Python bindings for cross-platform applications that combine all the strengths of Qt and Python. By using PyQt, you can include all Qt libraries in Python code, so you can write GUI applications in Python. In other words, you can use PyQt to access all the features provided by Qt through Python code. Because PyQt depends on the Qt libraries at run time, you need to install PyQt. In third chapter, you will learn: How to create the initial three tables project in the School database: Teacher, Class, and Subject tables; How to create database configuration files; How to create a Python GUI for inserting and editing tables; How to create a Python GUI to join and query the three tables. In fourth chapter, you will learn how to: Create a main form to connect all forms; Create a project will add three more tables to the school database: Student, Parent, and Tuition tables; Create a Python GUI for inserting and editing tables; Create a Python GUI to join and query over the three tables. In this chapter, you will join the six classes, Teacher, TClass, Subject, Student, Parent, and Tuition and make queries over those tables. In chapter five, you will create dan configure PotgreSQL database. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter six, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have a VARCHAR data type (200). You will also create GUI to display, edit, insert, and delete for this table. In chapter seven, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter eight, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Book Synopsis MS Access And SQL Server Crash Course by : Vivian Siahaan
Download or read book MS Access And SQL Server Crash Course written by Vivian Siahaan and published by SPARTA PUBLISHING. This book was released on 2019-11-13 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers microsoft acces and SQL Server based GUI programming using pyqt. Intentionally designed for various levels of interest and ability of learners, this book is suitable for students, engineers, and even researchers in a variety of disciplines. No advanced programming experience is needed, and only a few school-level programming skill are needed. In the first chapter, you will learn to use several widgets in PyQt5: Display a welcome message; Use the Radio Button widget; Grouping radio buttons; Displays options in the form of a check box; and Display two groups of check boxes. In chapter two, you will learn to use the following topics: Using Signal / Slot Editor; Copy and place text from one Line Edit widget to another; Convert data types and make a simple calculator; Use the Spin Box widget; Use scrollbars and sliders; Using the Widget List; Select a number of list items from one Widget List and display them on another Widget List widget; Add items to the Widget List; Perform operations on the Widget List; Use the Combo Box widget; Displays data selected by the user from the Calendar Widget; Creating a hotel reservation application; and Display tabular data using Table Widgets. In third chapter, you will learn: How to create the initial three tables project in the School database: Teacher, Class, and Subject tables; How to create database configuration files; How to create a Python GUI for inserting and editing tables; How to create a Python GUI to join and query the three tables. In fourth chapter, you will learn how to: Create a main form to connect all forms; Create a project will add three more tables to the school database: Student, Parent, and Tuition tables; Create a Python GUI for inserting and editing tables; Create a Python GUI to join and query over the three tables. In chapter five, you will join the six classes, Teacher, TClass, Subject, Student, Parent, and Tuition and make queries over those tables. In chapter six, you will create dan configure database. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter seven, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have VARBINARY(MAX) data type. You will also create GUI to display, edit, insert, and delete for this table. In chapter eight, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In the last chapter, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Book Synopsis MS Access And SQL Server Crash Course: A Step by Step, Project-Based Introduction to Java GUI Programming by : Vivian Siahaan
Download or read book MS Access And SQL Server Crash Course: A Step by Step, Project-Based Introduction to Java GUI Programming written by Vivian Siahaan and published by SPARTA PUBLISHING. This book was released on 2019-11-13 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a Java GUI crash course. This book will help you quickly write efficient, high-quality access-database-driven code with Java. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. The lessons in this book are a highly organized and well-indexed set of tutorials meant for students and programmers. Netbeans, a specific IDE (Integrated Development Environment) is used to create GUI (Graphical User Interface applications).The finished product is the reward, but the readers are fully engaged and enriched by the process. This kind of learning is often the focus of training. In this book, you will learn how to build from scratch two access database management systems using Java. In designing a GUI and as an IDE, you will make use of the NetBeans tool. In chapter one, you will create School database and six tables. In chapter two, you will study: Creating the initial three table projects in the school database: Teacher table, TClass table, and Subject table; Creating database configuration files; Creating a Java GUI for viewing and navigating the contents of each table; Creating a Java GUI for inserting and editing tables; and Creating a Java GUI to join and query the three tables. In chapter three, you will learn: Creating the main form to connect all forms; Creating a project will add three more tables to the school database: the Student table, the Parent table, and Tuition table; Creating a Java GUI to view and navigate the contents of each table; Creating a Java GUI for editing, inserting, and deleting records in each table; Creating a Java GUI to join and query the three tables and all six. In chapter four, you will study how to query the six tables. In chapter five, you will create dan configure database. In chapter six, you will some image processing tehniques using Java. In chapter seven, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter eight, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have VARBINARY(MAX) data type. You will also create GUI to display, edit, insert, and delete for this table. In chapter nine, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In the last chapter, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Book Synopsis DATA SCIENCE CRASH COURSE: Skin Cancer Classification and Prediction Using Machine Learning and Deep Learning by : Vivian Siahaan
Download or read book DATA SCIENCE CRASH COURSE: Skin Cancer Classification and Prediction Using Machine Learning and Deep Learning written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2022-02-01 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Skin cancer develops primarily on areas of sun-exposed skin, including the scalp, face, lips, ears, neck, chest, arms and hands, and on the legs in women. But it can also form on areas that rarely see the light of day — your palms, beneath your fingernails or toenails, and your genital area. Skin cancer affects people of all skin tones, including those with darker complexions. When melanoma occurs in people with dark skin tones, it's more likely to occur in areas not normally exposed to the sun, such as the palms of the hands and soles of the feet. Dataset used in this project contains a balanced dataset of images of benign skin moles and malignant skin moles. The data consists of two folders with each 1800 pictures (224x244) of the two types of moles. The machine learning models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, XGB classifier, MLP classifier, and CNN 1D. The deep learning models used are CNN and MobileNet.
