计算机网络: 自顶向下方法
James F. Kurose & Keith W. Ross
Bayesian Data Analysis
Andrew Gelman
How to Prove It: A Structured Approach
Daniel J. Velleman
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
Antenna Engineering Handbook, Fourth Edition
John Volakis
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen & Vincent Verdult
Everything You Always Wanted To Know About Mathematics
Brendan W. Sullivan
Why Greatness Cannot Be Planned: The Myth of the Objective
Kenneth O. Stanley & Joel Lehman
The Landscapes of Science and Religion: What Are We Disagreeing ...
Nick Spencer & Hannah Waite
Beginning Mathematical Logic: A Study Guide
Peter Smith
Proximal Algorithms
Neal Parikh & Stephen P. Boyd & Now Publishers
Numerical Optimization
Jorge Nocedal & Stephen J. Wright
Springer Series in Operations Research (1)
Digital Minimalism: Choosing a Focused Life in a Noisy World
Cal Newport
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Clean Code: A Handbook of Agile Software Craftsmanship
Robert C. Martin
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Measurement
Paul Lockhart
Entropy and Diversity: The Axiomatic Approach
Tom Leinster
Combinatorial Optimization: Theory and Algorithms
Bernhard Korte & Jens Vygen
Algorithms and Combinatorics (2)
Electromagnetic Wave Theory
Jin Au Kong
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Theory and Computation of Electromagnetic Fields
Jian-Ming Jin
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Book of Proof
Richard H. Hammack
Differential Equations and Linear Algebra, 4th Edition
Stephen W. Goode & Scott A. Annin
A First Course in Mathematical Modeling
Frank R. Giordano & Maurice D. Weir & William P. Fox
Hyperparameter Optimization in Machine Learning
Luca Franceschi
Writing Well and Being Well for Your PhD and Beyond: How to ...
Katherine Firth
Reading, Writing, and Proving: A Closer Look at Mathematics
Ulrich Daepp & Pamela Gorkin
Proofs: A Long-Form Mathematics Textbook
Jay Cummings
Heard on the Street: Quantitative Questions From Wall Street ...
Timothy Falcon Crack
Computational Methods for Electromagnetic Inverse Scattering
Xudong Chen
Information Retrieval: Implementing and Evaluating Search Engines
Stefan Buttcher & Charles L. A. Clarke & Gordon V. Cormack
Advanced Engineering Electromagnetics
Constantine A. Balanis
Learning Theory From First Principles
Francis Bach
Elements of Programming Interviews: The Insiders' Guide
Adnan Aziz & Tsung-Hsien Lee & Amit Prakash
Information Geometry and Its Applications
Shun-Ichi Amari
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Recommender Systems: The Textbook
Charu C. Aggarwal
Electromagnetic Metasurfaces: Theory and Applications
Karim Achouri & Christophe Caloz