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Athena Scientific is a small publisher specializing in
textbooks written by professors at the Massachusetts
Institute of Technology and used in their courses.

Our Print Books

Rollout, Policy Iteration, and Distributed Reinforcement Learning NEW! 2020 by D. P. Bertsekas	Introduction to Probability by D. P. Bertsekas and J. N. Tsitsiklis	Convex Optimization Theory by D. P. Bertsekas
Reinforcement Learning and Optimal Control NEW! 2019 by D. P. Bertsekas	Introduction to Linear Optimization by D. Bertsimas and J. N. Tsitsiklis	Convex Analysis and Optimization by D. P. Bertsekas with A. Nedic and A. E. Ozdaglar
Abstract DP 3rd Edition NEW! 2022 by D. P. Bertsekas	Network Optimization: Continuous and Discrete Models by D. P. Bertsekas	Constrained Optimization and Lagrange Multiplier Methods by D. P. Bertsekas
Dynamic Programming and Optimal Control by D. P. Bertsekas	Parallel and Distributed Computation: Numerical Methods by D. P. Bertsekas and J. N. Tsitsiklis	Network Flows and Monotropic Optimization by R. T. Rockafellar
Nonlinear Programming by D. P. Bertsekas	Neuro-Dynamic Programming by D. P. Bertsekas and J. N. Tsitsiklis
Convex Optimization Algorithms by D. P. Bertsekas	Stochastic Optimal Control: The Discrete-Time Case by D. P. Bertsekas and S. E. Shreve

Click on any individual book icon for information on that book, or click here for a complete list.

Our Ebooks at Google Play

(Google Play Ebooks are readable with the Google Play app and reflect the latest book changes/corrections at all times)

Reinforcement Learning and Optimal Control by D. P. Bertsekas	Convex Analysis and Optimization by D. P. Bertsekas with A. Nedic and A. E. Ozdaglar	Constrained Optimization and Lagrange Multiplier Methods by D. P. Bertsekas
Parallel and Distributed Computation: Numerical Methods by D. P. Bertsekas and J. N. Tsitsiklis	Network Flows and Monotropic Optimization by R. T. Rockafellar	Stochastic Optimal Control: The Discrete-Time Case by D. P. Bertsekas and S. E. Shreve
Network Optimization: Continuous and Discrete Models by D. P. Bertsekas	Convex Optimization Algorithms by D. P. Bertsekas	Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control by D. P. Bertsekas
Rollout, Policy Iteration, and Distributed Reinforcement Learning by D. P. Bertsekas	Dynamic Programming and Optimal Control, Volume I by D. P. Bertsekas	Dynamic Programming and Optimal Control, Volume II by D. P. Bertsekas
Convex Optimization Theory by D. P. Bertsekas	Nonlinear Programming, 3rd Edition by D. P. Bertsekas	Data Networks, by D. P. Bertsekas and R. G. Gallager
Neuro-Dynamic Programming by D. P. Bertsekas and J. N. Tsitsiklis	Introduction to Probability by D. P. Bertsekas and J. N. Tsitsiklis	Abstract DP 3rd Edition by D. P. Bertsekas

Software Related to our Publications

Misc network optimization codes, by Dimitri Bertsekas.
RELAX4 code by Dimitri Bertsekas and Paul Tseng, and RELAX4 documentation for linear single commodity network optimization.
C++ Implementation of RELAX4 code from the University of Pisa.
AUCTION and other algorithms, for linear cost assignment, shortest path, and other network flow problems, by Dimitri Bertsekas.
Newton's method for unconstrained optimization problems, by Dimitri Bertsekas.
Muliticommodity Flow algorithm based on gradient projection method and a path flow formulation, by Dimitri Bertsekas.
Epsilon-Relaxation method (also known as the preflow push method) for solving linear and separable quadratic minimum cost network flow problems, by Dimitri Bertsekas.
Auction code for assignment, by Florian Bernard.
Auction codes for assignment and transportation problems, by Joseph Walsh III.

For Further Information

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Tel: (617) 489-3097
Contact us by email at: info@athenasc.com
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