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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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An Introduction to Programming with Mathematica® is designed to introduce the Mathematica programming language to a wide audience. Since;
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application, iterated function systems. This code allows readers to explore the fascinating world of chaos and fractals with Mathematica. Current;
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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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engineering. Clear organization, complete topic coverage, and accessible exposition for novices Fully compatible with Mathematica 6.0;
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. Mathematica programming is also introduced with accompanying examples. In the second half of the book, an analysis of heterogeneous materials with;
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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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problems Serves as a reference suitable for chemists, physical scientists, and engineers Compatible with Mathematica Version 6, a;
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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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chapters on calculus and solving equations, and graphics, thus covering all the basic topics in Mathematica. With its strong focus upon programming;
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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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Mathematica, Scratch, IoT programs and IoT middleware, Node-RED, Interactive Data Visualization with Jupyter Notebook, and more. There are many;
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Provides reader with working knowledge of Mathematica and key aspects of Mathematica symbolic capabilities, the real heart of Mathematica;
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chapters on calculus and solving equations, and graphics, thus covering all the basic topics in Mathematica. With its strong focus upon;
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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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. Further, users can easily access and readily interact with the various 3.0 Mathematica notebooks, plus other data to be found at www.telospub.com.;
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of neural network architecture. *Contains exercises, suggested projects, and supplementary reading lists with each chapter. *Includes Mathematica;
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