Partial differential equations (PDEs) and variational methods were introduced into image processing about fifteen years ago. Since then, intensive research has been carried out. The goals of this book are to present a variety of image analysis applications, the precise mathematics involved and how to discretize them. Thus, this book is intended for two audiences. The first is the mathematical community by showing the contribution of mathematics to this domain. It is also the occasion to highlight some unsolved theoretical questions. The second is the computer vision community by presenting a clear, self-contained and global overview of the mathematics involved in image processing problems. This work will serve as a useful source of reference and inspiration for fellow researchers in Applied Mathematics and Computer Vision, as well as being a basis for advanced courses within these fields. During the four years since the publication of the first edition, there has been substantial progress in the range of image processing applications covered by the PDE framework. The main goals of the second edition are to update the first edition by giving a coherent account of some of the recent challenging applications, and to update the existing material. In addition, this book provides the reader with the opportunity to make his own simulations with a minimal effort. To this end, programming tools are made available, which will allow the reader to implement and test easily some classical approaches.

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一代数学天才，世所公认的概率学界学术教父、最后一位集大成者，斯坦福大学数学系前系主任、荣休教授，华人数学家钟开莱先生，于6月2日辞世，享年92岁。 这本概率论与随机过程教程是大师的经典之作。无需太多介绍。 向大师致敬！ （本资源无需任何积分）

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《通信的数学理论》\nA Mathematical Theory of Communication信息论的奠基性论文，美国数学家C.E.香农所著。这篇论文的发表标志一门新的学科──信息论的诞生。 压缩包为论文英文版+中文版，均为PDF超清，方便学习

This text makes a great supplement and provides a systematic approach for teaching undergraduate and graduate students how to read, understand, think about, and do proofs. The approach is to categorize, identify, and explain (at the student's level) the various techniques that are used repeatedly in all proofs, regardless of the subject in which the proofs arise. How to Read and Do Proofs also explains when each technique is likely to be used, based on certain key words that appear in the problem under consideration. Doing so enables students to choose a technique consciously, based on the form of the problem.

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,

matlab建模代码数学规划 Algorithm Implementation in Mathematical Modeling MATLAB code for classic mathematical modeling. 层次分析法(AHP) 元胞自动机(Cellular Automata) 模糊数学模型(Fuzzy Mathematical Model 目标规划(Goal Programming) 图论(Graph Theory) 灰色系统建模(Grey System) 启发式算法(Heuristic Algorithm) 免疫算法(Immune Algorithm) 整数规划(Integer Programming) 《MATLAB智能算法案例》(Intelligence Algorithm) 插值(Interpolation) 线性规划(Linear Programming) 多元分析(Multivarite Analysis) 神经网络(Neural Network) 非线性规划(Non Linear Programming) 常微分方程(Oridinary Differen

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