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Algorithmic Puzzles
While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the re...
标签：science
Numerical Optimization
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engin...
Algorithms on Strings, Trees and Sequences
String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecul...
Algorithms on Strings
This text and reference on string processes and pattern matching presents examples related to the automatic processing of natural language, to the analysis of molecular sequences and to the mana...
An Introduction to Bioinformatics Algorithms
This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a uniqu...
The Master Algorithm
A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities...
Classic Computer Science Problems in Python
Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding chall...
神经经济学
《神经经济学:决策与大脑》是几位神经经济学方面的先驱者共同主编的、涵盖了近几年神经经济学领域最新、最经典研究成果的论文集。神经经济学对经济学的贡献在于，它放弃了主流经济学用以解释人类行为的各种过分简单的模型，在切实了解人脑精神活动的真实方式的基础上，重建经济学对经济行为的解释。
计算复杂性
《计算复杂性的现代方法》是一部将所有有关复杂度知识理论集于一体的教程。将最新进展和经典结果结合起来，是一部很难得的研究生入门级教程。既是相关科研人员的一部很好的参考书，也是自学人员很难得的一本很好自学教程。本书一开始引入该领域的最基本知识，然后逐步深入，介绍更多深层次的结果，每章末都附有练习。对复杂度感兴趣的人士，物理学家，数学家以及科研人员这本书都是相当受益。 ...
Information Visualization, Second Edition
Most designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves cl...