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Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)
R 3,381
Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)

Optimization Models
R 2,692
Optimization Models

Convex Analysis (Princeton Landmarks in Mathematics and Physics)
R 2,170
Convex Analysis (Princeton Landmarks in Mathematics and Physics)

A First Course in Optimization Theory
R 1,039
A First Course in Optimization Theory

Linear and Nonlinear Waves
R 4,374
Linear and Nonlinear Waves

Model Building in Mathematical Programming
R 2,445
Model Building in Mathematical Programming

Linear Programming and Network Flows
R 1,059
Linear Programming and Network Flows

An Introduction to Optimization: With Applications to Machine Learning
R 2,880
An Introduction to Optimization: With Applications to Machine Learning

Linear Programming: Methods and Applications: Fifth Edition (Dover Books on Computer Science)
R 630
Linear Programming: Methods and Applications: Fifth Edition (Dover Books on Computer Science)

Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity (Lecture Notes in Mathematics, 1829)
R 1,535
Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity (Lecture Notes in Mathematics, 1829)

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