Geographical Models with Mathematica

Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context. The author then provides over 65 programs, written in the Mathematica language, that formalize these models. Case studies are provided to help the reader apply these programs to their own studies. Provides theoretical, stochastic and dynamic system models Covers data science, both in a spatial and spatio-temporal analysis Presents a microstructural understanding of the mechanical behavior of granular materials

Produk Detail:

  • Author : Andre Dauphine
  • Publisher : Elsevier
  • Pages : 314 pages
  • ISBN : 0081022301
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKGeographical Models with Mathematica

Geographical Models with Mathematica

Geographical Models with Mathematica
  • Author : Andre Dauphine
  • Publisher : Elsevier
  • Release : 10 February 2017
GET THIS BOOKGeographical Models with Mathematica

Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context. The author then provides over 65 programs, written in the Mathematica language, that formalize these models. Case studies are provided to help the reader apply these programs to their own studies. Provides

Economic and Financial Modeling with Mathematica®

Economic and Financial Modeling with Mathematica®
  • Author : Hal R. Varian
  • Publisher : Springer
  • Release : 21 November 2013
GET THIS BOOKEconomic and Financial Modeling with Mathematica®

Mathematica is a computer program (software) for doing symbolic, numeric and graphical analysis of mathematical problems. In the hands of economists, financial analysts and other professionals in econometrics and the quantitative sector of economic and financial modeling, it can be an invaluable tool for modeling and simulation on a large number of issues and problems, besides easily grinding out numbers, doing statistical estimations and rendering graphical plots and visuals. Mathematica enables these individuals to do all of this in a

Computational Economics and Finance

Computational Economics and Finance
  • Author : Hal R. Varian
  • Publisher : Springer Science & Business Media
  • Release : 09 August 1996
GET THIS BOOKComputational Economics and Finance

This book/software package divulges the combined knowledge of a whole international community of Mathematica users - from the fields of economics, finance, investments, quantitative business and operations research. The 23 contributors - all experts in their fields - take full advantage of the latest updates of Mathematica in their presentations and equip both current and prospective users with tools for professional, research and educational projects. The real-world and self-contained models provided are applicable to an extensive range of contemporary problems.

Computational Geosciences with Mathematica

Computational Geosciences with Mathematica
  • Author : William Haneberg
  • Publisher : Springer Science & Business Media
  • Release : 20 July 2004
GET THIS BOOKComputational Geosciences with Mathematica

Computational Geosciences with Mathematica is the only book written by a geologist specifically to show geologists and geoscientists how to use Mathematica to formulate and solve problems. It spans a broad range of geologic and mathematical topics, which are drawn from the author's extensive experience in research, consulting, and teaching. The reference and text leads readers step-by-step through geologic applications such as custom graphics programming, data input and output, linear and differential equations, linear and nonlinear regression, Monte Carlo simulation,

GIS and Spatial Analysis for the Social Sciences

GIS and Spatial Analysis for the Social Sciences
  • Author : Robert Nash Parker,Emily K. Asencio
  • Publisher : Routledge
  • Release : 10 September 2009
GET THIS BOOKGIS and Spatial Analysis for the Social Sciences

This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages. GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on

Modeling Nature

Modeling Nature
  • Author : Richard J. Gaylord,Kazume Nishidate
  • Publisher : Springer
  • Release : 21 December 2013
GET THIS BOOKModeling Nature

A guide to using Mathematica so as to explore cellular automata within natural phenomena, such as insect colonies, bird flight paths and even DNA sequencing. Designed for physicists, life scientists, and engineers - in fact, everyone dealing with fractals - the book first introduces Mathematica before going on to provide the valuable information needed to properly motivate the code and run the simulations presented in the book. All these simulations have been tested both inside and outside the classroom setting,

CRC Standard Curves and Surfaces with Mathematica

CRC Standard Curves and Surfaces with Mathematica
  • Author : David H. von Seggern
  • Publisher : CRC Press
  • Release : 12 July 2017
GET THIS BOOKCRC Standard Curves and Surfaces with Mathematica

Since the publication of this book’s bestselling predecessor, Mathematica® has matured considerably and the computing power of desktop computers has increased greatly. The Mathematica® typesetting functionality has also become sufficiently robust that the final copy for this edition could be transformed directly from Mathematica R notebooks to LaTex input. Incorporating these aspects, CRC Standard Curves and Surfaces with Mathematica®, Third Edition is a virtual encyclopedia of curves and functions that depicts nearly all of the standard mathematical functions and

Modeling Information Diffusion in Online Social Networks with Partial Differential Equations

Modeling Information Diffusion in Online Social Networks with Partial Differential Equations
  • Author : Haiyan Wang,Feng Wang,Kuai Xu
  • Publisher : Springer Nature
  • Release : 16 March 2020
GET THIS BOOKModeling Information Diffusion in Online Social Networks with Partial Differential Equations

The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based

Classical Mechanics with Mathematica®

Classical Mechanics with Mathematica®
  • Author : Antonio Romano,Addolorata Marasco
  • Publisher : Springer
  • Release : 29 May 2018
GET THIS BOOKClassical Mechanics with Mathematica®

This textbook takes a broad yet thorough approach to mechanics, aimed at bridging the gap between classical analytic and modern differential geometric approaches to the subject. Developed by the authors from over 30 years of teaching experience, the presentation is designed to give students an overview of the many different models used through the history of the field—from Newton to Hamilton—while also painting a clear picture of the most modern developments. The text is organized into two parts. The

Scientific Computing with Mathematica®

Scientific Computing with Mathematica®
  • Author : Addolorata Marasco,Antonio Romano
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKScientific Computing with Mathematica®

Many interesting behaviors of real physical, biological, economical, and chemical systems can be described by ordinary differential equations (ODEs). Scientific Computing with Mathematica for Ordinary Differential Equations provides a general framework useful for the applications, on the conceptual aspects of the theory of ODEs, as well as a sophisticated use of Mathematica software for the solutions of problems related to ODEs. In particular, a chapter is devoted to the use ODEs and Mathematica in the Dynamics of rigid bodies. Mathematical

Electrotechnical Systems

Electrotechnical Systems
  • Author : Igor Korotyeyev,Valerii Zhuikov,Radoslaw Kasperek
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOKElectrotechnical Systems

Advances in mathematical methods, computer technology, and electrotechnical devices in particular continue to result in the creation of programs that are leading to increased labor productivity. Mathematical and simulation programs—and other programs that unite these two operations—provide the ability to calculate transitional, steady-state processes, stability conditions, and harmonic composition, and are often used to analyze processes in power electronic systems. Electrotechnical Systems: Calculation and Analysis with Mathematica and PSpice explores the potential of two such programs—Mathematica and

Fractal Geography

Fractal Geography
  • Author : André Dauphiné
  • Publisher : John Wiley & Sons
  • Release : 09 January 2013
GET THIS BOOKFractal Geography

Our daily universe is rough and infinitely diverse. The fractal approach clarifies and orders these disparities. It helps us to envisage new explanations of geographical phenomena, which are, however, considered as definitely understood. Written for use by geographers and researchers from similar disciplines, such as ecologists, economists, historians and sociologists, this book presents the algorithms best adapted to the phenomena encountered, and proposes case studies illustrating their applications in concrete situations. An appendix is also provided that develops programs written