AN INTRODUCTION TO MATHEMATICAL STATISTICS AND ITS APPLICATIONS Sixth Edition Richard J. Larsen Vanderbilt University Morris L. Marx University of Director, Portfolio Management: Deirdre Lynch Courseware Portfolio Manager: Patrick Barbera Courseware Portfolio Assistant: Justin Billing Content Producer: Kathleen A. Manley Managing Producer: Karen Wernholm Media Producer: Audra Walsh Product Marketing Manager: Yvonne Vannatta Product Marketing Assistant: Jennifer Myers Senior Author Support/Technology Specialist: Joe Vetere Cover and Text Design, Production Coordination, Composition, and Illustrations: iEnergizer Aptara®, Ltd. Cover Image: Glow Green Circle Arcs © Shutterstock/R.T. Wohlstadter Copyright © 2018, 2012, 2006 Pearson Education, Inc. All Rights Reserved. Printed in the United States of America. This publication is protected by copyright, and permission should be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise. For information regarding permissions, request forms and the appropriate contacts within the Pearson Education Global Rights & Permissions department, please visit www.pearsoned.com/permissions/. PEARSON, ALWAYS LEARNING, and MyStatLab are exclusive trademarks owned by Pearson Education, Inc. or its affiliates in the U.S. and/or other countries. Unless otherwise indicated herein, any third-party trademarks that may appear in this work are the property of their respective owners and any references to third-party trademarks, logos or other trade dress are for demonstrative or descriptive purposes only. Such references are not intended to imply any sponsorship, endorsement, authorization, or promotion of Pearson’s products by the owners of such marks, or any relationship between the owner and Pearson Education, Inc. or its affiliates, authors,
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THE 8088 AND 8086 MICROPROCESSORS Programming Interfacing Softwar Hardware and Applications Fourth Edition Solution Manual
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本书全面介绍了经典的和现代的网络流技术,包括综合的理论、算法与应用。主要内容包括:路径、树与周期,算法设计与分析,最大流与最小流算法,分派与匹配,最小生成树,拉格朗日松弛与网络优化等。书中包含大量练习题,拓展了本书的内容,便于教学。    本书特点:    深入介绍功能强大的算法策略和分析工具,如数据缩放和势函数变量。    讨论有关网络优化的重要主题及实际解决方案,如拉格朗日松弛法。    包括广泛的文献注解,提供宝贵的历史背景和指导。    包含800多道难度不一的练习题。
2021-10-09 16:13:41 14.22MB Network flows Ahuja 网络流
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凌力尔特模拟电路设计手册 【分卷1】(英文版)- 应用及解决方案指南丛书,Analog Circuit Design Volume 1 - A tutorial guide to applications and solutions 2011 Edited by Bob Dobkin Jim Williams
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