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Numerical optimization

An optimization primer

Numerical Optimization

Winning at litigation through decision analysis : creating and executing winning strategies in any litigation or dispute

Modeling with Stochastic Programming

Linear programming1: Introduction

Univariate Stable Distributions : Models for Heavy Tailed Data

Finite-Dimensional Variational Inequalities and Complementarity Problems

Multivariate Extreme Value Theory and D-Norms

Fundamentals of convex analysis and optimization : a supremum function approach

Maximum-entropy sampling : algorithms and application

Maximum-entropy sampling : algorithms and application

An Introduction to Heavy-Tailed and Subexponential Distributions

Convex analysis and beyondVolume I,: Basic theory

An optimization primer

Multistage Stochastic Optimization

Kronecker Modeling and Analysis of Multidimensional Markovian Systems

Stochastic Models with Power-Law Tails : The Equation X = AX + B

Introduction to stochastic programming

Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security

Convex analysis and beyondVolume I,: Basic theory

Univariate Stable Distributions : Models for Heavy Tailed Data

Heavy-Tailed Time Series

Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security

Stochastic models with power-law tails : the equation X=AX+B

Newton-type methods for optimization and variational problems

Linear programming2: Theory and extensions

Principles of Inventory Management : When You Are Down to Four, Order More

Implicit Functions and Solution Mappings : A View from Variational Analysis

Numerical Optimization

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