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Classical and modern optimization

The science of deep learning

Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning

Introduction to applied linear algebra : vectors, matrices, and least squares

Advanced optimization for process systems engineering

Integer linear programming in computational and systems biology : an entry-level text and course

Understanding process dynamics and control

Optimization for data analysis

Design optimization using MATLAB and SOLIDWORKS

Optimization in chemical engineering

Optimization for chemical and biochemical engineering : theory, algorithms, modeling and applications

Fundamentals of optimization techniques with algorithms

Sparse Solutions of Underdetermined Linear Systems

Mathematics and tools for financial engineering

Piecewise Affine Control : Continuous-Time, Sampled-Data, and Networked Systems

Search and Optimization by Metaheuristics : Techniques and Algorithms Inspired by Nature

A variational approach to optimal control of ODEs

Optimization : insights and applications

Biologically inspired optimization methods : an introduction

Perturbations, Optimization, and Statistics

Moments, Positive Polynomials And Their Applications

Modelling mortality with actuarial applications

Local search in combinatorial optimization

Metaheuristics : from design to implementation

Optimization theory : a concise introduction

Differential games in industrial economics

Foundations of multiattribute utility

Concise Guide to Optimization Models and Methods : A Problem-Based Test Prep for Students

Concise Guide to Optimization Models and Methods : A Problem-Based Test Prep for Students

An introduction to compressed sensing

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