AbstractWe introduce a new approach, and associated algorithms, for the efficient approximation of functions and sequences by short linear combinations of exponential functions with complex-valued exponents and coefficients. These approximations are obtained for a finite but arbitrary accuracy and typically have significantly fewer terms than Fourier representations. We present several examples of these approximations and discuss applications to fast algorithms. In particular, we show how to obtain a short separated representation (sum of products of one-dimensional functions) of certain multi-dimensional Green's functions
AbstractWe consider the problem of approximating a given function in two dimensions by a sum of expo...
The problem is considered of calculating Chebyshev approximations to given data by sums of exponenti...
AbstractIn a recent paper (A. Sidi, J. Approx. Theory 34 (1982), 194–210) the author has given the s...
AbstractWe introduce a new approach, and associated algorithms, for the efficient approximation of f...
AbstractWe consider the problem of approximating a given function in two dimensions by a sum of expo...
We consider the problem of approximating a given function in two dimensions by a sum of exponential ...
AbstractWe consider the problem of approximating functions by sums of few exponentials functions, ei...
We consider the problem of approximating functions by sums of few exponentials functions, either on ...
AbstractWe revisit the efficient approximation of functions by sums of exponentials or Gaussians in ...
A finite sum of exponential functions may be expressed by a linear combination of powers of the inde...
We derive a new method for optimal $\ell^2$-approximation of discrete signals on $\mathbb{N}_0$ whos...
Approximation of functions by exponential sums based on the Newton-type optimisation b
AbstractIn this paper we consider the problem of using exponential sums to approximate a given compl...
AbstractWe approximate the unit step function, which equals 1 if t ε [0, T] and equals 0 if t >T, by...
We develop the new ESPIRA Algorithm to reconstruct exponential sums from discrete sample values, usi...
AbstractWe consider the problem of approximating a given function in two dimensions by a sum of expo...
The problem is considered of calculating Chebyshev approximations to given data by sums of exponenti...
AbstractIn a recent paper (A. Sidi, J. Approx. Theory 34 (1982), 194–210) the author has given the s...
AbstractWe introduce a new approach, and associated algorithms, for the efficient approximation of f...
AbstractWe consider the problem of approximating a given function in two dimensions by a sum of expo...
We consider the problem of approximating a given function in two dimensions by a sum of exponential ...
AbstractWe consider the problem of approximating functions by sums of few exponentials functions, ei...
We consider the problem of approximating functions by sums of few exponentials functions, either on ...
AbstractWe revisit the efficient approximation of functions by sums of exponentials or Gaussians in ...
A finite sum of exponential functions may be expressed by a linear combination of powers of the inde...
We derive a new method for optimal $\ell^2$-approximation of discrete signals on $\mathbb{N}_0$ whos...
Approximation of functions by exponential sums based on the Newton-type optimisation b
AbstractIn this paper we consider the problem of using exponential sums to approximate a given compl...
AbstractWe approximate the unit step function, which equals 1 if t ε [0, T] and equals 0 if t >T, by...
We develop the new ESPIRA Algorithm to reconstruct exponential sums from discrete sample values, usi...
AbstractWe consider the problem of approximating a given function in two dimensions by a sum of expo...
The problem is considered of calculating Chebyshev approximations to given data by sums of exponenti...
AbstractIn a recent paper (A. Sidi, J. Approx. Theory 34 (1982), 194–210) the author has given the s...