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Mathematical Modeling : Branching Beyond Calculus / Arangala, Crista ; Luke, Nick & Yokley, Karen A.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: London : Chapman & Hall/CRC, 2018.Description: 304 p. ; 24 cmISBN:
  • 1498770711
Subject(s): DDC classification:
  • 511.8 ARA
Summary: Mathematical Modeling: Branching Beyond Calculusreveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences. The book is written in a way to meet the needs of any modeling course. Each chapter includes examples, exercises, and projects offering opportunities for more in-depth investigations into the world of mathematical models. The authors encourage students to approach the models from various angles while creating a more complete understanding. The assortment of disciplines covered within the book and its flexible structure produce an intriguing and promising foundation for any mathematical modeling course or for self-study.
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Item type Current library Call number Status Barcode
Book Book Ranganathan Library 511.8 ARA (Browse shelf(Opens below)) Available 035401

Mathematical Modeling: Branching Beyond Calculusreveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences. The book is written in a way to meet the needs of any modeling course. Each chapter includes examples, exercises, and projects offering opportunities for more in-depth investigations into the world of mathematical models. The authors encourage students to approach the models from various angles while creating a more complete understanding. The assortment of disciplines covered within the book and its flexible structure produce an intriguing and promising foundation for any mathematical modeling course or for self-study.

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