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Recommendations for a usable, fast C++ matrix library?

What kinds of problems lend themselves well to GPU computing?

Does a tiny determinant imply ill-conditioning of a matrix?

BFGS vs. Conjugate Gradient Method

Modern C++ in scientific computing?

For which statistical methods are GPUs faster than CPUs?

Catastrophic cancellation in logsum

Universities known for computational physics

How is Krylov-accelerated Multigrid (using MG as a preconditioner) motivated?

Is it usual to have no convergence checking in Multigrid?

Compute all eigenvalues of a very big and very sparse adjacency matrix

How exactly does the full multigrid algorithm run?

Which iterative linear solvers converge for positive semidefinite matrices?

Sensitivity of BFGS to initial Hessian approximations

Why are interior point methods difficult to warm start?

Do RBF kernel matrices tend to be ill-conditioned?

Help deciding between cubic and quadratic interpolation in line search

Is Discrete Exterior Calculus currently a focusing point in numerial computing world or simulation in industry,

Initially Bracketing Minimum for Line Search

Solving a sparse and highly ill-conditioned system

scipy.optimize.fmin_bfgs: "Desired error not necessarily achieved due to precision loss"

What is too big for standard linear algebra/optimization methods?

Convergence/stagnation of BiCGStab(l)

Implementing a numerical method for unconstrained optimization in Go

Minimisation problem in thousands of dimensions

Algorithm for optimizing Ax = b with unknown A and known x values

What is the runtime complexity of MATLAB operation A*B where A and B are general sparse matrices?

Sufficient conditions to ensure convergence of the conjugate gradient method

Applicability of combinatorial and support preconditioner

Line search for Newton method