Polytope Conditioning and Linear Convergence of the Frank–Wolfe Algorithm

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Linear Programming Polytope and Algorithm for Mean Payoff Games

We investigate LP-polytopes generated by mean payoff games and their properties, including the existence of tight feasible solutions of bounded size. We suggest a new associated algorithm solving a linear program and transforming its solution into a solution of the game.

متن کامل

Randomized Methods for Linear Constraints: Convergence Rates and Conditioning

We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding on a recent randomized iterated projection algorithm of Strohmer and Vershynin for systems of linear equations, we show that, under appropriate probability distributions, the linear rates of convergence (in expectatio...

متن کامل

Linear Convergence in the Shifted Qr Algorithm

Global and asymptotic convergence properties for the QR algorithm with Francis double shift are established for certain orthogonal similarity classes of 4 x 4 real matrices. It is shown that in each of the classes every unreduced Hessenberg matrix will decouple and that the rate of decoupling is almost always linear. The effect of the EISPACK exceptional shift strategy is shown to be negligible.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematics of Operations Research

سال: 2018

ISSN: 0364-765X,1526-5471

DOI: 10.1287/moor.2017.0910