The Best Applied Mathematics Books 2024

Updated On November 21st, 2024

Looking for the best Applied Mathematics Books? You aren't short of choices in 2022. The difficult bit is deciding the best Applied Mathematics Books for you, but luckily that's where we can help. Based on testing out in the field with reviews, sells etc, we've created this ranked list of the finest Applied Mathematics Books.

Rank Product Name Score
1
Applying the Standards: STEM, Grade 1 (Paperback)

Applying the Standards: STEM, Grade 1 (Paperback)

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2
Dover Books on Mathematics: Introduction to Applied Numerical Analysis (Paperback)

Dover Books on Mathematics: Introduction to Applied Numerical Analysis (Paperback)

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1. Applying the Standards: STEM, Grade 1 (Paperback)

Applying the Standards: STEM, Grade 1 (Paperback)
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Our Score

Applying the Standards: STEM for grade 1 offers 64 pages of highly engaging STEM tasks. It includes a problem-solving rubric and guided pages that walk students through completing each step of the STEM process.

Applying the Standards: STEM for grade 1 offers 64 pages of highly engaging STEM tasks. It includes a problem-solving rubric and guided pages that walk students through completing each step of the STEM process. First graders will complete tasks in areas such as chemical reactions, building structures, domino physics, weather, and sound technology. The Applying the Standards: STEM series emphasizes creativity and innovation in science, technology, engineering, and math. This is a series of six 64-page books for students in kindergarten to grade 5. A variety of topics are covered with 30 engaging tasks, and a culminating reflection question for each task encourages students to think about and apply their newfound learning and knowledge.

2. Dover Books on Mathematics: Introduction to Applied Numerical Analysis (Paperback)

Dover Books on Mathematics: Introduction to Applied Numerical Analysis (Paperback)
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Our Score

This book covers an extensive range of topics, including round-off and function evaluation, real zeros of a function, integration, ordinary differential equations, optimization, orthogonal functions, and Fourier series. 1989 edition.

This book by a prominent mathematician is appropriate for a single-semester course in applied numerical analysis for computer science majors and other upper-level undergraduate and graduate students. Although it does not cover actual programming, it focuses on the applied topics most pertinent to science and engineering professionals. An extensive range of topics includes round-off and function evaluation, real zeros of a function, simultaneous linear equations and matrices, interpolation and roundoff estimation, integration, and ordinary differential equations. Additional subjects include optimization, least squares, orthogonal functions, Fourier series, Chebyshev approximation, and random processes. The author stresses the teaching of mathematical concepts through visual aids, and numerous diagrams and illustrations complement the text.


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