Convex Optimization. Mikhail Moklyachuk. Читать онлайн. Newlib. NEWLIB.NET

Автор: Mikhail Moklyachuk
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Математика
Год издания: 0
isbn: 9781119804086
Скачать книгу

      231  225

      232 226

      233  227

      234 228

      235 229

      236  230

      237  231

      238  232

      239  233

      240  235

      241 236

      242  237

      243 238

      244 239

      245  241

      246  242

      247  243

      248  244

      249  245

      250  246

      251  247

       Series Editor Nikolaos Limnios

      Convex Optimization

       Introductory Course

      Mikhail Moklyachuk

      First published 2020 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

      Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:

      ISTE Ltd

      27-37 St George’s Road

      London SW19 4EU

      UK

       www.iste.co.uk

      John Wiley & Sons, Inc.

      111 River Street

      Hoboken, NJ 07030

      USA

       www.wiley.com

      © ISTE Ltd 2020

      The rights of Mikhail Moklyachuk to be identified as the author of this work have been asserted by him in accordance with the Copyright, Designs and Patents Act 1988.

      Library of Congress Control Number: 2020943973

      British Library Cataloguing-in-Publication Data

      A CIP record for this book is available from the British Library

      ISBN 978-1-78630-683-8

      Notations


e-mail: [email protected]

Set of natural numbers
Set of integer numbers
+ Set of non-negative integer numbers
Set of real numbers
Extended set of real numbers
Set of rational numbers
n Set of real n-vectors
m × n Set of real m × n-matrices
+ Set of non-negative real numbers
++ Set of positive real numbers
Set of complex numbers
n Set of complex n-vectors
m × n Set of complex m × n-matrices
Set of symmetric n × n-matrices
Set of symmetric positive semidefinite n × n-matrices
Set of symmetric positive definite n × n-matrices
Identity matrix
X Transpose of matrix X
tr (X) Trace of matrix X
λi(X) ith largest eigenvalue of symmetric matrix X
〈· , ·〉 Inner product
xy Vectors x and y are orthogonal: 〈x, y〉 = 0
V Orthogonal complement of subspace V
diag(X) Diagonal matrix with diagonal entries x1, … , xn
rank (X) Rank of matrix X
‖·‖ A norm
‖·‖* Dual of norm ‖·‖
x2 Euclidean norm of vector x