acknowledge the sunport of the Advanced Research ~rojects Agency under Contract N00039-82-C-0427. We introduce an average case ~odel and define general notions of optimal algorithm and optLmal info~.ation. t~e prove that the same algorithm and information are optimal in the ~'orst and average cases and that adaptive information is not r.ore powerful than non-adaptive information
This work consists of three parts. The first two describe new results In information-based complexit...
AbstractIn this paper we consider the problem of finding approximate solutions to large linear syste...
We study adaptive information for approximation of linear problems in a separable Hilbert space equi...
AbstractWe introduce an average case model and define general notions of optimal algorithm and optim...
We introduce an average case model and define general notions of optimal algorithm and optimal infor...
AbstractInformation-based complexity studies problems where only partial and contaminated informatio...
We study optimal algorithms and optimal information for an average case model. This is done for line...
AbstractWe study how much information with varying cardinality can be better than information with f...
AbstractThis paper studies optimal information and optimal algorithms in Hilbert space for an n-dime...
We study optimal algorithms for linear problems in two settings: the average case and the probabilis...
We study optimal algorithms and optimal information in an average case model for linear problems in ...
We study optimal algorithms and optimal information for an average case model. This is done for line...
This paper studies some aspects of information-based complexity theory applied to estimation, identi...
AbstractOne knows from the Algorithmic Complexity Theory11This theory is also called the Kolmogorov ...
In 1968, Witsenhausen introduced his celebrated counterexample, which illustrated that when an in-fo...
This work consists of three parts. The first two describe new results In information-based complexit...
AbstractIn this paper we consider the problem of finding approximate solutions to large linear syste...
We study adaptive information for approximation of linear problems in a separable Hilbert space equi...
AbstractWe introduce an average case model and define general notions of optimal algorithm and optim...
We introduce an average case model and define general notions of optimal algorithm and optimal infor...
AbstractInformation-based complexity studies problems where only partial and contaminated informatio...
We study optimal algorithms and optimal information for an average case model. This is done for line...
AbstractWe study how much information with varying cardinality can be better than information with f...
AbstractThis paper studies optimal information and optimal algorithms in Hilbert space for an n-dime...
We study optimal algorithms for linear problems in two settings: the average case and the probabilis...
We study optimal algorithms and optimal information in an average case model for linear problems in ...
We study optimal algorithms and optimal information for an average case model. This is done for line...
This paper studies some aspects of information-based complexity theory applied to estimation, identi...
AbstractOne knows from the Algorithmic Complexity Theory11This theory is also called the Kolmogorov ...
In 1968, Witsenhausen introduced his celebrated counterexample, which illustrated that when an in-fo...
This work consists of three parts. The first two describe new results In information-based complexit...
AbstractIn this paper we consider the problem of finding approximate solutions to large linear syste...
We study adaptive information for approximation of linear problems in a separable Hilbert space equi...