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 Nick Higham on Half Precision Arithmetic: fp16 Versus bfloat16
 James Tursa on Half Precision Arithmetic: fp16 Versus bfloat16
 Ferdinando on What Is a Matrix Square Root?
 Nick Higham on What Is a Matrix Square Root?
 Ferdinando on What Is a Matrix Square Root?
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Author Archives: Nick Higham
What Is a Cholesky Factorization?
The Cholesky factorization of a symmetric positive definite matrix is the factorization , where is upper triangular with positive diagonal elements. It is a generalization of the property that a positive real number has a unique positive square root. The … Continue reading
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What is Numerical Stability?
Numerical stability concerns how errors introduced during the execution of an algorithm affect the result. It is a property of an algorithm rather than the problem being solved. I will assume that the errors under consideration are rounding errors, but … Continue reading
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What is the Polar Decomposition?
A polar decomposition of with is a factorization , where has orthonormal columns and is Hermitian positive semidefinite. This decomposition is a generalization of the polar representation of a complex number, where corresponds to and to . When is real, … Continue reading
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What Is a Symmetric Positive Definite Matrix?
A real matrix is symmetric positive definite if it is symmetric ( is equal to its transpose, ) and By making particular choices of in this definition we can derive the inequalities Satisfying these inequalities is not sufficient for positive … Continue reading
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What Is the Growth Factor for Gaussian Elimination?
Gaussian elimination is the process of reducing an matrix to upper triangular form by elementary row operations. It consists of stages, in the th of which multiples of row are added to later rows to eliminate elements below the diagonal … Continue reading
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What Is Stochastic Rounding?
In finite precision arithmetic the result of an elementary arithmetic operation does not generally lie in the underlying number system, , so it must be mapped back into by the process called rounding. The most common choice is round to … Continue reading
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What Is the Hilbert Matrix?
The Hilbert matrix is the matrix with . For example, It is probably the most famous test matrix and its conditioning and other properties were extensively studied in the early days of digital computing, especially by John Todd. The Hilbert … Continue reading
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What Is a Fréchet Derivative?
Let and be Banach spaces (complete normed vector spaces). The Fréchet derivative of a function at is a linear mapping such that for all . The notation should be read as “the Fréchet derivative of at in the direction ”. … Continue reading
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Six Useful LaTeX Packages
Here are six packages that, while they are perhaps not among the best known, I have found to be very useful. All of them are probably available in your distribution, but in case they are not I give links to … Continue reading
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What Is the Adjugate of a Matrix?
The adjugate of an matrix is defined by where denotes the submatrix of obtained by deleting row and column . It is the transposed matrix of cofactors. The adjugate is sometimes called the (classical) adjoint and is sometimes written as … Continue reading
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