Advanced Mathematical Methods for Scientists and Engineers 科学家和工程师的高等数学思想

快速入门CFD

Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. e main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. e goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. e target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective.

Sethian J A. Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science[M]. Cambridge university press, 1999.

James A. Sethian. Level Set Methods and Fast Marching Methods. Cambridge University Press (1999). 评点：这是另外一个创始人Sethian的作品，与Osher的书互有侧重，互相补充，这本书更偏重于Fast Marching Methods, 非结构化网格，涉及的应用领域更广泛。

brockwell时间序列理论与方法第一版+第二版（中文版）

干扰观测器经典教材干扰观测器经典教材

This book is written with a progressive logic, which means that terms and concepts are defined when they are first introduced. One implication of this is that it is sensible for you to start at the beginning and to work your way through the text, various boxes, self-check questions, review and discussion questions, case studies and case study questions. You can do this in a variety of ways depending on your reasons for using this book. However, this approach may not necessarily be suitable for your purposes, and you may wish to read the chapters in a different order or just dip into particular sections of the book. If this is true for you then you will probably need to use the glossary to check that you understand some of the terms and concepts used in the chapters you read. Suggestions for three of the more common ways in which you might wish to use this book are given below.

Tikhonov, A.N. and Arsenin, V.Y.

优化计算广泛应用于信息学科的各个研究领域，然而传统优化方法在实际应用中有很大的局限性。为了解决该问题，近年来，各种智能优化算法的研究得到了蓬勃发展，其中有广为人知的遗传算法、模拟退火算法、蚁群算法、神经网络算法等。迄今为止，智能优化算法在各个学科和各种实际应用场合中已经得到了广泛且有效的使用。本课程将紧密跟踪学术界最新发展动态，为信息学科的研究生掌握最新的智能优化技术抛砖引玉，为他们后续开展学术研究打下坚实基础。