This book is designed primarily for undergraduates in mathematics, engineering, and the physical sciences. Rather than concentrating on technical skills, it focuses on a deeper understanding of the subject by providing many unusual and challenging examples. The basic topics of vector geometry, differentiation and integration in several variables are explored. Furthermore, it can be used to impower the mathematical knowledge for Artificial Intelligence (AI) concepts. It also provides numerous computer illustrations and tutorials using MATLAB and Maple , that bridge the gap between analysis and computation. Partial solutions and instructor ancillaries available for use as a textbook. FEATURES Includes numerous computer illustrations and tutorials using MATLAB and Maple Covers the major topics of vector geometry, differentiation, and integration in several variables Instructors ancillaries available upon adoption
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Sarhan M. Musa holds a PhD in electrical engineering and is currently the Associate Dean of Graduate Studies, Professor of Electrical and Computer Engineering, and the Boeing Welliver & LTD Sprint Fellow at Prairie View A&M University, Texas.
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Hardback. Condición: New. This book is designed primarily for undergraduates in mathematics, engineering, and the physical sciences. Rather than concentrating on technical skills, it focuses on a deeper understanding of the subject by providing many unusual and challenging examples. The basic topics of vector geometry, differentiation and integration in several variables are explored. Furthermore, it can be used to impower the mathematical knowledge for Artificial Intelligence (AI) concepts. It also provides numerous computer illustrations and tutorials using MATLAB® and Maple®, that bridge the gap between analysis and computation. Partial solutions and instructor ancillaries available for use as a textbook. Features: Includes numerous computer illustrations and tutorials using MATLAB®and Maple®Covers the major topics of vector geometry, differentiation, and integration in several variablesInstructors' ancillaries available upon adoption. Nº de ref. del artículo: LU-9781683929192
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Condición: New. Nº de ref. del artículo: 45717521-n
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