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.
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.
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.
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.
Author(s): H. De Sterck, P. Ullrich, Department of
Applied Mathematics, University of Waterloo