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An Introduction to Programming with Mathematica

An Introduction to Programming with Mathematica® is designed to introduce the Mathematica programming language to a wide audience. Since;

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Programming in Mathematica

This revised and expanded edition of the standard reference on programming in Mathematica addresses all the new features in the latest;

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The Mathematica GuideBook for Programming

This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge;

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Beginning Mathematica and Wolfram for Data Science

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools;

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Beginning Mathematica and Wolfram for Data Science

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools;

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Essentials of Programming in Mathematica (R)

Essentials of Programming in Mathematica (R) provides an introduction suitable for readers with little or no background in the language as;

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Programming With Mathematica Introductio

Mathematica language, with a practical emphasis on solving problems. Concrete examples throughout the text demonstrate how Mathematica can be used to;

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Mathematica by Example

Mathematica by Example, 4e is designed to introduce the Mathematica programming language to a wide audience. This is the ideal text for all;

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Introduction to the Mathematics of Operations Research with Mathematica (R)

for non-specialists to grasp. Fortunately, Introduction to the Mathematics of Operations Research with Mathematica (R), Second Edition;

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Introduction to the Mathematics of Operations Research with Mathematica (R)

for non-specialists to grasp. Fortunately, Introduction to the Mathematics of Operations Research with Mathematica (R), Second Edition;

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Elements Of Numerical Analysis With Mathematica

programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing;

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Elements Of Numerical Analysis With Mathematica

programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing;

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Using Mathematica for Quantum Mechanics

highlighted using the programming language Mathematica. No prior knowledge of Mathematica is needed; alternatives, such as Matlab, Python, or Maple;

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Micromechanics with Mathematica

Demonstrates the simplicity and effectiveness of Mathematica as the solution to practical problems in composite materials. Designed for;

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Computational Financial Mathematics Using Mathematica(r): Optimal Trading in Stocks and Options

material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user;

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Computational Financial Mathematics using MATHEMATICA (R)

material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user;

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A Physicist's Guide to Mathematica

For the engineering and scientific professional, A Physicist's Guide to Mathematica,Second Editionprovides an updated reference guide;

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Mathematica

Mathematica(R): A Problem-Centered Approach introduces the vast array of features and powerful mathematical functions of Mathematica using;

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Raspbian OS Programming with the Raspberry Pi

Mathematica, Scratch, IoT programs and IoT middleware, Node-RED, Interactive Data Visualization with Jupyter Notebook, and more. There are many;

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Mathematica A Problem Centered Approach

This textbook introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly;

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Modelling Metabolism with Mathematica

With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and;

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Modelling Metabolism with Mathematica

With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and;

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Simulating Society

science, where 'explanations' abound, but are rarely subject to much experimental testing. The authors have chosen Mathematica because it has a;

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Introduction to Ordinary Differential Equations with Mathematica

methods and stability of non-linear systems. Liberal use is made of programs in Mathematica, both for symbolic computations and graphical displays;

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Engineering Analysis

This book provides a concise introduction to numerical concepts in engineering analysis, using FORTRAN, QuickBASIC, MATLAB, and Mathematica;

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Simulating Neural Networks with Mathematica

This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;

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Applied Engineering Mathematics

in Mathematica to accompany the examples for the reader to explore on their own with Mathematica or the free Computational Document Format player, and it;

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