Mathematical Analysis for Modeling is intended for those who want to understand the substance of mathematics, rather than just having familiarity with its techniques. It provides a thorough understanding of how mathematics is developed for and applies to solving scientific and engineering problems. The authors stress the construction of mathematical descriptions of scientific and engineering situations, rather than rote memorizations of proofs and formulas. Emphasis is placed on algorithms as solutions to problems and on insight rather than formal derivations.
Mathematical Analysis for Modeling is written for those who want to understand the substance of mathematics, rather than just having a familiarity with its techniques. It provides a thorough understanding of how mathematics is developed for and applies to solving scientific and engineering problems. With a goal-oriented approach and a consistent, simple notation that streamlines the learning process, the authors stress the construction of mathematical descriptions of scientific and engineering situations rather than memorization of proofs and formulas. They emphasize algorithms as solutions to problems and insight rather than formal derivations.
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