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An Introduction to Programming with Mathematica® is designed to introduce the Mathematica programming language to a wide audience. Since;
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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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This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge;
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Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools;
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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) provides an introduction suitable for readers with little or no background in the language as;
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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, 4e is designed to introduce the Mathematica programming language to a wide audience. This is the ideal text for all;
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for non-specialists to grasp. Fortunately, Introduction to the Mathematics of Operations Research with Mathematica (R), Second Edition;
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for non-specialists to grasp. Fortunately, Introduction to the Mathematics of Operations Research with Mathematica (R), Second Edition;
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programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing;
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programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing;
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highlighted using the programming language Mathematica. No prior knowledge of Mathematica is needed; alternatives, such as Matlab, Python, or Maple;
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Demonstrates the simplicity and effectiveness of Mathematica as the solution to practical problems in composite materials. Designed for;
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material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user;
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material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user;
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For the engineering and scientific professional, A Physicist's Guide to Mathematica,Second Editionprovides an updated reference guide;
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Mathematica(R): A Problem-Centered Approach introduces the vast array of features and powerful mathematical functions of Mathematica using;
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Mathematica, Scratch, IoT programs and IoT middleware, Node-RED, Interactive Data Visualization with Jupyter Notebook, and more. There are many;
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This textbook introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly;
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With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and;
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With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and;
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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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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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This book provides a concise introduction to numerical concepts in engineering analysis, using FORTRAN, QuickBASIC, MATLAB, and Mathematica;
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This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;
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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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