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Computational Mathematics Books

Computational Mathematics Books

There are many online resources where you can find free Computational Mathematics books to download in PDF format, including online textbooks, ebooks, lecture notes, and more, covering basic, beginner, and advanced concepts for those looking for an introduction to the subject or a deeper understanding of it.

Computational Mathematics by Oxford

This PDF book covers the following topics related to Computational Mathematics : Introduction to MATLAB, Algebraic equations and calculus, Differential equations, sums, matrices and vectors, Loops, conditionals and functions, A simple matrix function.

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s 56Pages

Mathematics and Computation

This lecture note covers the following topics: Prelude: computation, undecidability and the limits of mathematical knowledge, Computational complexity 101: the basics, Problems and classes inside N P, Lower bounds, Boolean Circuits, and attacks on P vs. NP, Proof complexity, Randomness in computation, Abstract pseudo-randomness, Weak random sources and randomness extractors, Randomness in proof, Randomness in proofs, Arithmetic complexity, Interlude: Concrete interactions between Math and Computational Complexity.

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s 372Pages

Computational Mathematics by Jose Augusto Ferreira

This lecture note explains the following topics: This Numerical Methods for ODEs, Discretizations for ODEs, The Runge-Kutta Methods, Linear Multistep Methods, Numerical Methods for PDEs, Tools of Functional Analysis, The Ritz-Galerkin Method, FDM for Time-Dependent PDES, Finite Difference Methods for Elliptic Equations, Computational Projects.

Author(s):

s 177Pages

Introduction to Computational Mathematics by Greg Fasshauer

This note covers the following topics: Mathematical Modeling, Euler’s Method, Taylor Series, Taylor Polynomials, Floating-Point Numbers, Normalized Floating-Point Numbers , MATLAB.

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s 163Pages

Introduction To Computational Mathematics

The goal of computational mathematics, put simply, is to find or develop algorithms that solve mathematical problems computationally. Topics covered includes: Errors and Error Propagation, Root Finding, Interpolation, Integration, Discrete Fourier Methods and Numerical Linear Algebra.

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s 118Pages