Formal Verification of Structurally Complex Multipliers
Alireza Mahzoon
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Matrix Algebra : Theory, Computations and Applications in Statistics
James E. Gentle
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Application-Specific Arithmetic : Computing Just Right for the Reconfigurable Computer and the Dark Silicon Era
Florent de Dinechin
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Graphs and Combinatorial Optimization: from Theory to Applications : CTW 2023, Garmisch-Partenkirchen, Germany, June 20–22
Andreas Brieden
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Audit Analytics : Data Science for the Accounting Profession
J. Christopher Westland
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LATIN 2024: Theoretical Informatics : 16th Latin American Symposium, Puerto Varas, Chile, March 18–22, 2024, Proceedings, Part II
Jose A. Soto
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Linear Algebra and Learning from Data
Gilbert (Massachusetts Institute of Technology) Strang
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Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
Jr., Frank E. Harrell
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An Intermediate Course in Probability
Allan Gut
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Discrete and Combinatorial Mathematics : Pearson New International Edition
Ralph Grimaldi
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Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning
Jean H (Univ Of Pennsylvania, Usa) Gallier
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Python for Probability, Statistics, and Machine Learning
Jose Unpingco
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The Nature of Complex Networks
Sergey N. (Researcher, Researcher, Department of Physics, Dorogovtsev
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Probability and Statistics for Computer Scientists
Michael (American University, Washington, DC) Baron
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
Jean H (Univ Of Pennsylvania, Usa) Gallier
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A Course in Mathematical Statistics and Large Sample Theory
Rabi Bhattacharya
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Understand Mathematics, Understand Computing : Discrete Mathematics That All Computing Students Should Know
Arnold L. Rosenberg
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Modern Fortran Explained : Incorporating Fortran 2023
Mr Michael (Formerly of CERN, Geneva, Switzerland) Metcalf
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Demystifying Deep Learning : An Introduction to the Mathematics of Neural Networks
Douglas J. (University of Kent, UK) Santry
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Proven Impossible : Elementary Proofs of Profound Impossibility from Arrow, Bell, Chaitin, Godel, Turing and More
Dan (University of California, Davis) Gusfield
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Algorithmic Learning in a Random World
Vladimir Vovk
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Reflections on the Foundations of Probability and Statistics : Essays in Honor of Teddy Seidenfeld
Thomas Augustin
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Petri Nets : Theoretical Models and Analysis Methods for Concurrent Systems
Guanjun Liu
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Artificial Intelligence Logic and Applications : The 3rd International Conference, AILA 2023, Changchun, China, August 5–6, 2023, Proceedings
Songmao Zhang
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