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Non-Convex Optimization for Machine Learning

Non-Convex Optimization for Machine Learning

Prateek Jain & Purushottam Kar

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Combinatorial Optimization: Theory and Algorithms

Combinatorial Optimization: Theory and Algorithms

Bernhard Korte & Jens Vygen

Algorithms and Combinatorics (2)

Why Greatness Cannot Be Planned: The Myth of the Objective

Why Greatness Cannot Be Planned: The Myth of the Objective

Kenneth O. Stanley & Joel Lehman

Category: scanned

Heard on the Street: Quantitative Questions From Wall Street Job Interviews, 15th Edition

Heard on the Street: Quantitative Questions From Wall Street ...

Timothy Falcon Crack

Forecasting Economic Time Series

Forecasting Economic Time Series

C. W. J. Granger & Paul Newbold & Karl Shell

矩阵计算

矩阵计算

Gene H. Golub & Charles F. van Loan

Computers and Intractability: A Guide to the Theory of NP-completeness

Computers and Intractability: A Guide to the Theory of NP-completeness

Michael R. Garey & David S. Johnson

多处理器编程的艺术

多处理器编程的艺术

Maurice Herlihy

算法导论

算法导论

Thomas H. Cormen

计算理论导引

计算理论导引

Michael Sipser

算法设计

算法设计

Jon Kleinberg

深入理解计算机系统

深入理解计算机系统

Randal E. Bryant

斯坦福算法博弈论二十讲

斯坦福算法博弈论二十讲

Tim Roughgarden

计算机网络: 自顶向下方法

计算机网络: 自顶向下方法

James F. Kurose & Keith W. Ross

编程珠玑

编程珠玑

Jon Bentley

编译原理

编译原理

Alfred V. Aho

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