Computer Science and Scientific Computing Ser.: Information-Based Complexity by
$50.00
This book covers information-based complexity, the branch of computational complexity that deals with the the approximate solution of problems for which the information is partial, noisy, and priced. Such problems arise in economics, physics, human and robotic vision, scientific and engineering computation, geophysics, decision theory, signal processing and control theory. Joseph Traub was a computer scientist at Columbia University.
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.
Numerical Python: Scientific Computing and Data Science Applications with Numpy,$30.02
C++ and Object-Oriented Numeric Computing for Scientists and Engineers by Daoqi$6.78
Computer Science and Scientific Computing Ser.: Information-Based Complexity by$50.00
Scientific Computing with MATLAB and Octave (Texts in Computational Science...$25.49
Scientific Computing with MATLAB and Octave Texts in Computational Science & Eng$14.96
Scientific Computing with MATLAB and Octave (Texts in Computational Science and$19.99
Linear Programs and Related Problems (Computer Science and Scientific Com - GOOD$77.94
Numerical Python: Scientific Computing and Data Science Applications with Nu...$14.53
www.userbars.org
