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This book provides an introduction to chemical engineering analysis- which reviews the processes and designs used to manufacture, use, and dispose of chemical products-and to Mathematica, one of the most powerful mathematical software tools available for symbolic, numerical, and graphical computing. Analysis and computation are explained simultaneously. The book covers the core concepts of chemical engineering, ranging from the conservation of mass to chemical kinetics. At the same time the text shows how to use the latest version of Mathematica, from the basics of writing a few lines of code

Chemical engineering. --- Chemical engineering. Mathematica (Computer program language). --- Chemistry, Analytic. --- Mathematica (Computer program language). --- Chemical & Materials Engineering --- Engineering & Applied Sciences --- Chemical Engineering --- Mathematica (Computer program language) --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Domain-specific programming languages --- Engineering --- Chemistry, Technical --- Metallurgy

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This volume consists of papers delivered at the International Mathematica Symposium 2003 - an interdisciplinary meeting bringing together users of Mathematica in research and education. It gathers research papers, reports on classroom practice, reports on the use of Mathematica in industry and commerce, and descriptions of fresh applications.

Mathematica (Computer program language) --- Mathematics --- Math --- Science --- Domain-specific programming languages

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Designed for advanced engineering, physical science, and applied mathematics students, this innovative textbook is an introduction to both the theory and practical application of linear algebra and functional analysis. The book is self-contained, beginning with elementary principles, basic concepts, and definitions. The important theorems of the subject are covered and effective application tools are developed, working up to a thorough treatment of eigenanalysis and the spectral resolution theorem. Building on a fundamental understanding of finite vector spaces, infinite dimensional Hilbert sp

Engineering sciences. Technology --- Algebras, Linear. --- Engineering mathematics. --- Linear operators. --- Mathematica (Computer program language)

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An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this fascinating and increasingly important field. Unique among books on evolutionary computation, the book also explores the application of evolution to developmental processes in n

Evolutionary programming (Computer science) --- Evolutionary computation --- Mathematica (Computer program language) --- Evolutionary computation. --- Domain-specific programming languages --- Computer programming --- Computation, Evolutionary --- Neural networks (Computer science)

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Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. This second edition introduces the latest LLM Wolfram capabilities, delves into the exploration of data types in Mathematica, covers key programming concepts, and includes code performance and debugging techniques for code optimization. You’ll gain a deeper understanding of data science from a theoretical and practical perspective using Mathematica and the Wolfram Language. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. Existing topics have been reorganized for better context and to accommodate the introduction of Notebook styles. The book also incorporates new functionalities in code versions 13 and 14 for imported and exported data. You’ll see how to use Mathematica, where data management and mathematical computations are needed. Along the way, you’ll appreciate how Mathematica provides an entirely integrated platform: its symbolic and numerical calculation result in a mized syntax, allowing it to carry out various processes without superfluous lines of code. You’ll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out. .

Mathematica (Computer program language) --- Wolfram language (Computer program language) --- Mathematics --- Artificial intelligence. --- Data processing. --- Programming languages (Electronic computers). --- Artificial intelligence --- Machine learning. --- Programming Language. --- Data Science. --- Machine Learning.