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Everything You Always Wanted To Know About Mathematics
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Collection of Problems in Probability Theory
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The Design of Approximation Algorithms
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Antenna Engineering Handbook, Fourth Edition
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Algorithms for Convex Optimization
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Filtering and System Identification: A Least Squares Approach
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How to Prove It: A Structured Approach
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Why Greatness Cannot Be Planned: The Myth of the Objective
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Beginning Mathematical Logic: A Study Guide
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Proximal Algorithms
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Numerical Optimization
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Springer Series in Operations Research (1)
Physics-based Deep Learning
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Statistical Rethinking: A Bayesian Course With Examples in R ...
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Clean Code: A Handbook of Agile Software Craftsmanship
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Information Theory, Inference and Learning Algorithms
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Measurement
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Entropy and Diversity: The Axiomatic Approach
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Combinatorial Optimization: Theory and Algorithms
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Algorithms and Combinatorics (1)
Electromagnetic Wave Theory
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Probabilistic Graphical Models: Principles and Techniques
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Theory and Computation of Electromagnetic Fields
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Non-Convex Optimization for Machine Learning
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Book of Proof
Richard Hammack
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Differential Equations and Linear Algebra, 4th Edition
Stephen W. Goode & Scott A. Annin
A First Course in Mathematical Modeling
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Bayesian Data Analysis
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Writing Well and Being Well for Your PhD and Beyond: How to ...
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Reading, Writing, and Proving: A Closer Look at Mathematics
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Proofs: A Long-Form Mathematics Textbook
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Heard on the Street: Quantitative Questions From Wall Street ...
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Computational Methods for Electromagnetic Inverse Scattering
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Information Retrieval: Implementing and Evaluating Search Engines
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Advanced Engineering Electromagnetics
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Learning Theory From First Principles
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Elements of Programming Interviews: The Insiders' Guide
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Information Geometry and Its Applications
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Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
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Recommender Systems: The Textbook
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Electromagnetic Metasurfaces: Theory and Applications
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